DOI:
10.1039/D2RA02733J
(Review Article)
RSC Adv., 2022,
12, 26319-26361
Electrochemical detection of selected heavy metals in water: a case study of African experiences
Received
29th April 2022
, Accepted 30th August 2022
First published on 15th September 2022
Abstract
The safety of water resources throughout the globe has been compromised by various human activities and climate change over the last decades. Consequently, the world is currently confronted with a severe shortage of water supply and a water safety crisis, amidst a growing population. With poor environmental regulations, indiscriminate budding of urban slums, poverty, and a lack of basic knowledge of hygiene and sanitation, the African water supply has been critically threatened by different organic and inorganic contaminants, which results in several health issues. Inorganic pollutants such as heavy metals are particularly of interest because they are mostly stable and non-biodegradable. Therefore, they are not easily removed from water. In different parts of the continent, the concentration of heavy metals in drinking water far exceeds the permissible level recommended by the World Health Organization (WHO). Worse still, this problem is expected to increase with growing population, industrialization, urbanization, and, of course, corruption of government and local officials. Most of the African population is ignorant of the standards of safe water. In addition, the populace lack access to affordable and reliable technologies and tools that could be used in the quantification of these pollutants. This problem is not only applicable to domestic, but also to commercial, communal, and industrial water sources. Hence, a global campaign has been launched to ensure constant assessment of the presence of these metals in the environment and to promote awareness of dangers associated with unsafe exposure to them. Various conventional spectroscopic heavy metal detection techniques have been used with great success across the world. However, such techniques suffer from some obvious setbacks, such as the cost of procurement and professionalism required to operate them, which have limited their applications. This paper, therefore, reviews the condition of African water sources, health implications of exposure to heavy metals, and the approaches explored by various indigenous electrochemists, to provide a fast, affordable, sensitive, selective, and stable electrochemical sensors for the quantification of the most significant heavy metals in our water bodies.
1. Introduction
Water is an essential element that is fundamental to the existence of life on earth, thus making living impossible without it.1 It has also been estimated to play the most significant role in the development of any society,2 due to its property as a universal solvent, factory coolant, etc.3 About 70.9% of the Earth's space is covered with water, providing habitation for many of the organisms in the ecosystem.4 Yet the scarcity of clean water is a major concern in today's growing global population because the water capacity of the cosmos is fixed, while the existing freshwater sources are constantly threatened by various human activities. The capacity of the hemisphere is projected to be approximately 388 × 1015 m3, which is made up of 96.5% oceanic saltwater, 0.93% saline groundwater, 0.07% saline lakes and 2.5% freshwater (Fig. 1). Meanwhile, this small capacity of freshwater is made up of 68.6% glacier and ice-caps, 30.1% groundwater, and only 1.3% is from surface and freshwater. Out of the 1.3% of the surface and freshwater, 73.1% is made up of ice and snow, 20.1% of lakes, 0.22% of atmospheric water, 0.22% of biological water, 0.46% of rivers, 2.53% of swamps and marshes, and 3.52% soil moisture. This data puts the volume of accessible and useable earth water at just 1%, with an overwhelming 99% of Earth's water capacity termed unusable.5 About 99% of the usable water is sourced from groundwater, while 0.86% comes from lakes, and then 0.02% from river water.6
|
| Fig. 1 Earth's water reservoirs. Bar chart distribution of Earth's water resources including total global water, freshwater, surface water, and other freshwater and pie chart water usable by humans and sources of usable water. Source: United States Geographical Survey Igor Skiklomanov's chapter “World freshwater resources”. This figure has been reproduced from ref. 9 with permission from Oxford University Press, copyright 1993. | |
The quality of water must be safe physically, chemically, and biologically to be regarded as useful for drinking and other domestic purposes.2 Currently, the World Water Council reported that close to 1.2 billion people globally lack access to quality water, and a projected number of 2.5 billion people lack access to improved sanitation. Additionally, the availability and distribution of water are on the decline with a projected severe impact around 2020 and 2050.1 More than 6 billion people all over the globe could lack access to clean water by 2050.7 This is driven by increasing world population, irrigation, industrialization, and consequently overexploitation, which has stressed the water situation globally.5 More so, constant exposure of the naturally occurring water resources to different sources of contamination has lowered their fitness for consumption. Hence, exploiting best water management practices for its conservation, and safety about quality cannot be underrated. Coincidentally too, over the past few decades, global awareness of making potable water available to people has comparably been improved.8
According to Joan Clos, Executive Director of UN-HABITAT, “Africa is the fastest urbanizing continent on the planet, and the demand for water and sanitation is outstripping the supply in cities”.10 Sub-Saharan Africa (SSA) and Northern Africa are indeed on the same continent, but their degrees of progress towards attainment of the Millennium Development Goal (MDG) on the water varies significantly. Northern Africa, was given a 94% target before 2015, out of which they have achieved 92% coverage.11,12 Contrarily, only 57% of more than 783 million Southern African population have access to potable water supply, throughout the whole region. As a result, out of the 75% MDG target stipulated for the SSA region, only 61% coverage was achieved. Additionally, the available data from 35 countries in the SSA, covering 84% of the population in the region, shows high discrimination between the poorest and wealthiest in both urban and rural places. More than 90% of their wealthy populace live in urban places and have access to a better water supply. On the other hand, over 50% of the population living in rural areas do not have access to any form of an improved water source.
Concerns about poor sanitation have also heightened the existential threats to the supply of safe water for the majority of the population. As of 2015, Africa was ranked as one of the two continents lagging in the fulfilment of MDG on sanitation. A growing population that does not have basic sanitary orientation could only indulge in environmentally hazardous sanitation practices such as indiscriminate disposal of solid wastes into water bodies and open defecation.13–15
Additionally, population growth in the continent has accelerated the demand for more water, while depleting the supply source as shown in Fig. 2 (see also Table 1). SSA has the highest emergence of urban slums when compared with other developing regions, and this is expected to double to approximately 0.4 billion by the year 2020.14,15
|
| Fig. 2 Global freshwater demand and supply from 1962 to 2014. Long term freshwater use (a) and renewable freshwater resource per capita (b). This figure has been reproduced from ref. 16 with permission from World in Data, copyright 2017. | |
Table 1 Global fresh water use per annum. This table has been adapted from ref. 17 with permission from International Water Association Publications, copyright 2013a
Country |
Start (billions m3) |
End (billions m3) |
Absolute change (billions m3) |
Relative change |
Key: OECD nations: Organization for Economic Cooperation and Development. BRICS countries: Brazil, Russia, India, China, and South Africa. ROW: rest of the world. |
BRICS |
301.17 in 1901 |
1690 in 2010 |
+1390 |
+462% |
OECD |
117.35 in 1901 |
892.29 in 2010 |
+774.94 |
+660% |
ROW |
252.78 in 1901 |
1290 in 2010 |
+1040 |
+409% |
World |
671.31 in 1901 |
3990 in 2014 |
+3310 |
+494% |
Consequently, constant assessment of the safety of aquatic systems in many African countries has emerged as a top priority among many researchers.17,18 Such regular monitoring of the environmental water in circulation requires a constant, effective, low cost, and outdoor sensing strategy and tools, for both economic development and biological survival.18,19
Exposure to some classes of heavy metals (HMs), even in trace concentrations could pose a serious threat to humans, while exerting harmful consequences on the ecosystem, and other biological receptors.20,21 Therefore, reliable identification and efficient extraction of these metals from water, especially for domestic, communal, and industrial uses, has become very significant and drawn a lot of attention on diverse research fronts. Traditional strategies used to detect HM ions such as the inductively coupled plasma optical emission spectrometry (ICP-OES),22,23 UV-vis spectrometry,24–26 atomic absorption/emission spectroscopy,27–29 and laser-induced breakdown spectroscopy (LIBS)30,31 would be notoriously insufficient for in situ, fast, easy and low-cost operations hereby needed. This increasing mandate for real-time, on-site tracking of water quality, for human health and the environment, when compared to the growing threats to water safety in most African countries, requires competitively sensitive, affordable, and reliable technique, which exerts less pressure on the environment. Emerging electrochemical techniques for environmental monitoring offer significant potentials for portable, low-cost alternatives with high selectivity and low detection limits.23
Instrument-based electrochemical analysis techniques exploit the electrochemical properties of analytes in an electrolyte solution. This method began with C. Wickelman in the 19th century. A chemical battery provides part of its solution, while the concentration of the heavy metal ions is determined by varying diverse electrical parameters of the battery, such as its power, resistivity, conductivity, potential, current–voltage curve, which are dependent on the amount of the analytes. Although, ionic analysis that employs electrochemistry suffers from poor selectivity, it has other numerous potentials such as a broad range of measurement, extraordinary sensitivity, high accuracy, and simple instrumentation, based on measurable electrical parameters. Electrochemical analysis can be grouped into voltammetry, polarography, amperometry, potentiometry, and conductivity study,32 which functions on three-electrode schemes: a counter electrode (CE), the working electrode (WE), and a reference electrode (RE), that is used to suggest a basis for evaluation and comparison of the electrical properties of the electrochemical setup.
The performance of the WE can be optimized by the modification. Voltametric analysis is commonly employed in the assessment of HMI, due to its high sensitivity, quick response, affordability, easy coupling with a chip, and simplicity in operation when compared with other detection techniques. Recently, different electrochemical voltametric techniques which include cyclic voltammetry (CV), square wave voltammetry (SWV), linear sweep voltammetry (LSV), staircase voltammetry (SV), anodic stripping voltammetry (ASV), cathodic sweeping voltammetry (CSV), adsorptive stripping voltammetry (AdSV), have been greatly exploited by numerous researchers and used in HMI detection in aqueous samples.33,34
This paper, hence, examines the sources and conditions of African waters, likely origins of HMs contamination of the water bodies, potential health hazards posed, and ultimately, the contribution of indigenous African electrochemists in the compelling demand to provide low-cost, on-site sensing and sensitive electrochemical strategies, for the assessment of heavy metal contamination of the available water sources.
1.1 Heavy metals and health hazards
Heavy metals are elements with atomic weights that range between 63.5 and 200.6, and bear a specific gravity above 5.0.35 There are over 50 elements in this classification as HMs, and they are comprised of some metalloids, transition metals, actinides, and lanthanides. Among them, 17 elements are classified as being both extremely toxic and relatively accessible.36 The impact of the increasing accessibility and/or discharge of some of these extremely toxic, environmentally harmful, and humanly carcinogenic metals, has been of grave research,37,38 environmental,39,40 and health41–43 concern. There are millions of people with protracted poisoning from heavy metals. About 1.6 million children die annually from disease, which is often caused by contaminated water.8
In ideal cases of organic wastes deposited in an environment, microbial activities over some time result in microbial degradation that restores eco-balance and sometimes enriches the ecosystem. Contrarily, a number of the HMs connected with these biodegradable inorganic and organic contaminants, are non-biodegradable themselves, and therefore cannot be extracted or deactivated through any biological processes. Consequently, owing to their non-biodegradability, these metals stay long in the ecosystem, after any form of exposure.36
Even though some of these metals are required in trace concentrations for biological survival, their capability to displace other essential metals or modification of the veritable arrangement of biological molecules, resulting in the blockage of important functional groups in the biological system, affects the biological processes adversely.41,43–47 However, some minimum amounts of some species of the HMs, such as manganese (Mn), iron (Fe), zinc (Zn), copper (Cu), and nickel (Ni), are vital elements in the human body and organisms. Above the permissible level referred to as the maximum concentration limit (MCL), they constitute a great danger to the environs as well as human health48 (Table 2). For example, when the concentration of Ni is higher than the MCL, it could result in serious lung and kidney problems, as well as distress in the gastro-intestine, skin dermatitis, and pulmonary fibrosis.49–52 Trace concentration of Zn is also essential in the human body. It plays a vital role in the physiological performance of living tissues, and regulations of various other biochemical processes. Nonetheless, above the permissible level, it could result in critical health threats, spiraling from vomiting, stomach cramps, nausea, anemia, to skin irritation.53,54 Copper is vital for metabolism in animals. However, when the exposure becomes disproportionate, it could result in serious toxicological threats such as vomiting cramps, convulsions, and in some severe cases lead to death.55
Table 2 Selected HMs, their anthropogenic sources, provisional maximum tolerable daily intake (PMTDI) according to WHO, symptoms and resultant diseases when consumed beyond the PMTDI dose. This table has been adapted from ref. 68 with permission from MDPI, copyright 2019
HMs |
Anthropogenic sources |
PMTDI (mg L−1) |
Symptoms and diseases |
Ref. |
As |
Discarded wastes from industries, mining activities, insecticides, ceramics, pesticides herbicides, components of electronics, arsenic-based additives, electrical generation, biosolids, tanning, fertilizers, pyrite oxidation (FeS), arsenopyrite (FeAsS), feed additives, textile, and veterinary medicine, and metallurgy |
10 |
Skin, bladder, kidneys, and lungs cancer, impact the peripheral nervous system (PNS), central nervous system (CNS), and results in heart and pulmonic diseases, and arsenicosis |
69–71 |
Diseases of the gastrointestinal tract, haemopoietin, genitourinary, skin, fetus and teratogen, brown skin-coloring and hyper-pigmentation, edema that is localized, and anorexia |
Cd |
Electroplating industries, batteries made up of nickel and cadmium, combustion of coals, plastic stabilizers, alloying industry, synthetic rubber, photographic and engraving process, petroleum refining photoconductors, paints, pigments, photovoltaic cells, electroplated parts, and plastics |
3 |
Pulmonary fibrosis, hypertension, malformation of the skeleton, lymphocytosis, diabetes mellitus, toxicity in the renal system, loss of weight and strength, microcytic hypochromic anemia, and emphysema |
72 and 73 |
Osteomalacia, peripheral neuropathy, cancer of the lungs, osteoporosis, atherosclerosis, and hyperuricemia |
Cr |
Chemicals, coasting operations, data storage, textiles, leather tanning, pigments, wood treatment, metallurgy, achrome, and electroplating industries |
50 |
Skin rash and ulcers, irritations and bleedings in the nose, debilitated immune system, mutation of genetic material, liver and kidney impairment, teratogenicity, toxicity in reproduction, embryotoxicity, causes mutation and cancer, dermatitis, septum perforation, and adverse reactions |
71 and 74–77 |
Co |
Aerospace, Li-ion batteries, porcelain, preparation of semiconductors, grinding wheels, hydrometers, nuclear medicine, electroplating, materials, enamel, and painting on glass |
2 |
Diarrhea, irritations in the lung, defects of the bones, low blood pressure, genetic mutations in cells, and paralysis |
78 |
Cu |
Mining processes, kitchenware, pharmaceutical and chemical apparatus, manufacturing of papers |
1500 |
Alzheimer's, convulsions, Parkinson's diseases, Wilson, liver and eye problems, cramps, vomiting, and Menkes |
79 |
Fe |
Mining, corrosion of metals, steel, and iron industries |
N/A |
Cancer, hemochromatosis, heart diseases, and eyes disorder |
80 |
Pb |
Sanitation PVC pipes, lead rich batteries, fuels, even lunch boxes, PVC lead paints recycling, electronics parts manufacturing, processing of metals, pigments of painting, electroplating, mining activities, leather tanning, agriculture, jewelry, and lead batteries |
10 |
Damage in the reproductive systems, damage of the CNS, kidney and liver diseases, barriers to protective blood in the brain which signifies a cause of Alzheimer's disease alongside doddering dementia, lowering of IQ and reduces the growth of the bones, attitudinal dysfunctions, hyperirritability, stupor, and ataxia |
81–84 |
Hg |
Fungicides, facilities for plating metals, tanneries, pharmaceuticals, solders, vapor from mercury lamps, chemical compounds, emissions from volcanoes, filling of the teeth, catalysts, rectifiers, coal, solid and municipal waste burning, and, mining activities |
1 |
Damage in the reproductive systems, impairment of the CNS, liver syndromes, distorted development of the neurons, impacts on the digestive and immune systems, kidneys, lungs, eyes, and skin, Minamata, acrodynia, surges in salivation, hypertension, and hypotonia |
85 |
Mn |
Manganese steels production, alloys of ferromanganese, and iron pipe corrosion |
500 |
Psychological disorders, trembling, respiratory diseases, and lethargy |
86 |
Ni |
Surgical implants, nickel-based steel, super-alloys, electroplating, magnets from alnico, coinage, non-ferrous alloys, catalysts, microphone pods, rechargeable batteries, plumbing fittings plating, and dental prostheses |
20 |
Anaemia, encephalopathy, hepatitis, lung, diarrhea, kidney impairment, gastrointestinal pain, pulmonic fibrosis, renal edema, dermatitis of the skin, dysfunction of the CNS |
87 and 88 |
Zn |
Zn alloys, anti-corrosion coating, rubber industry, cans, chemical industry producing pigments, paints, batteries, and soldering |
3000 |
Respiratory breakdown, loss of appetite, diarrhea, headaches, lethargy, fever from metal fume, leukocytes of bronchiolitis, neuronal illness, risks of prostate cancer, macular deterioration, depression, and impotence |
89–92 |
Ag |
Copper refineries, zinc–nickel, gold, electroplating, and jewelry industries |
100 |
Gastroenteritis, neuronal ailments, knotting, argyria, cytopathological influences in fibroblast, keratinocytes, rheumatism, mast cells, cartilage, and mental tiredness |
93 and 94 |
Cu |
Tanning, fertilizers, and photovoltaic cells |
1300 |
Kidney dysfunctions, anemia, allergies, arthritis, diabetes, hemorrhaging, alopecia, adreno-cortical hyperactivity, autism, and cystic fibrosis |
95 |
Contrarily, some others (Pb, Cd, Hg, As, Sb, Cr, etc.) are highly toxic even in trace concentrations, could adversely affect the biological degradation process of organic matters, and are also harmful to humans.36 With significant exposure in humans (through contact with some parts of the body, especially the mouth, skin, and airways) and subsequent adsorption and attachment to the erythrocytes, Pb could lead to pathological changes in the endocrine system and kidney which could cause failure in reproduction. Worst still is that apart from the extremely slow passage through urine, there are no other biological channels for removing the metal from the human body.56 Mercury contamination in water is reported to be a neurotoxin that could result in the damage to the central nervous system.57 A higher amount of mercury results in pulmonary and kidney function impairment, dyspnoea, and chest pain.58,59 Minamata Bay is one of the classic instances of mercury poisoning.60
Exposure to Cd has been responsible for permanent tubular damage in the kidney,61 increased chances of gene mutations,60 reduction of semen quality,62,63 impairment of visual motor, and loss of concentration.64 Therefore, metals such as cadmium, lead, arsenic, chromium, and mercury are termed “environmental health hazards” and ranked among the first ten on the list of hazardous elements from “Agency for Toxic Substances and Disease Registry Priority List of Hazardous Substances”, relative to substance toxicity and possible exposure to infested soil, air and water.65–67
Primary sources of the HMs contamination include anthropogenic-based release, and other natural sources like rainwater, weathering, and erosion from soil and rocks, domestic effluents, wastewater, industrial activities, etc.8 (Fig. 3). In Table 2, different HMs, their origins in the ecosystem, and various threats to human exposure are represented.
|
| Fig. 3 The sources of heavy metal pollution in African water bodies. | |
1.2 Freshwater sources in Africa
Africa is the largest and the most populated continent on the globe after Asia.45 The oldest sources of water in the then primitive African countries were streams, rivers, and natural rainfall.96 With growing technology, groundwater supply via wells and boreholes began to slowly replace dependence on the streams, rivers and natural rainfall.96 In some urban places, these same sources of water have become necessary substitutes to the unsteady supply of pipe-borne water, which would have been a more dependable source of potable water for African sprouting population.96 Likewise, the greater percentage of the world population of about 7 billion people (UNFPA, 2011) depend on groundwater supplies and close to 16% of them lack access to safe water and have to resort to the available but unsafe surface and groundwater96 (Fig. 4).
|
| Fig. 4 Some freshwater sources in African countries. Copied from different Google Sources (2020). | |
1.3 Sources of heavy metal pollution in African water bodies
Population growth, leading to expanding settlement, urbanization, and accompanying industrialization has increasingly exposed African water bodies to heavy metal contamination.97–100 Poorly treated or incompletely treated industrial and domestic effluents are steadily discharged into the ecosystem. These sources accidentally account for the greatest origin of HM contamination of the aquatic system across the globe.99,101
The classification of HM contamination in terms of the source is either anthropogenic or natural sources.99 Most HM contamination in rural sources originates from natural activities, while that of the urban regions is generated from anthropogenic (human) activities.99,100 However, indiscriminate mining activities in some rural areas could also lead to significant contamination of freshwaters in such vicinity.102 Natural origins of HM pollution in numerous African rural settlements include bush burning, weathering of mineral deposits, wind-borne dust, leachate, dry and wet fallouts of atmospheric particulate matters, and volcanic eruptions.99,102 Anthropogenic origins include indiscriminate discharge of industrial effluents, production of steel and refining of petroleum, fossil fuel and coal combustion, mining and metal processing, production of ceramics and cement, solid waste disposal, fertilizers, manufacturing of paint and batteries,.102 Other sources also include ore transportation, mineral explosion, refining and smelting, tailings and disposals of mine wastes and heaped waste materials in mining sites and rocks' weathering, etc.103,104
In a report by Reza and co-workers105 mines and abandoned runoffs, and associated industrial discharges make up the main origins of HM pollution, total dissolved solids (TDS), and high acidity for streams near mining sites.106–109 The rivers in urban areas suffer largely from pollution. This is due to the tradition of disposing small scale industrial and domestic wastes into the water bodies, consequently resulting in a rise in the degree of concentration of metals in river water.110–114
The majority of the existing scientific reports about the various sources of water in Africa and their condition relative to their safety are very concerning. A closer examination of them leaves environmentalists worried about the fate of the populace that depends on such water for livelihood, given the concomitant health risks. A broad spectrum of such scientific studies was considered in specific detail to bring home the picture and create a tangible background to this review. A summary of reports indicating the ratio of the HMI concentration found in some of the African water samples studied to their corresponding maximum concentration limit (MCL), permissible by some environmental agencies (Table 3) and World Health Organization (WHO) (Table 4) were calculated and represented in Table 5. Such levels of contamination present serious environmental threat.
Table 3 Guidelines for metals in seawater and sediment. This table has been adapted from ref. 115 with permission from African Journal Online (AJOL), copyright 2001a
HM |
Seawater (ppb) |
Sediment (mg g−1) |
EEC |
ANZECC |
CEPA |
PSAG |
EEC: European Economic Community; ANZECC: Australian and New Zealand Environmental Conservation Council; CEPA: Canadian Environmental Protection Agency; PSAG: Proposed South African Guidelines. |
Cd |
2.5 |
2 |
2 |
10 |
Cu |
5 |
5 |
8 |
500 |
Fe |
— |
— |
— |
— |
Pb |
15 |
5 |
22 |
500 |
Mn |
— |
— |
— |
— |
Zn |
40 |
50 |
40 |
750 |
Table 4 Standards and guidelines for HMs concentration (mg L−1) in drinking water as recommended by the WHO, US-EPA, ECE, FTP-CDW, PCRWR, ADWG, and NOM-127. This table has been adapted from ref. 116 with permission from Nigerian Journal of Technological Development, copyright 2016a
Metal |
WHO |
EPA |
ECE |
FTPCDW |
PCRWR |
ADWG |
NOM-127 |
WHO (2011): World Health Organization; USEPA (2011): The United States Environmental Protection Agency; ECE (1998): European Commission Environment; FTP-CDW (2010): Federal-Provincial-Territorial Committee on Drinking Water Health Canada; PCRWR (2008) Pakistan Council of Research in Water Australian Drinking Water Guidelines, DDWG (2011); Australian Drinking Water Guidelines; NOM (127-SSA1-1994): Norma Official Mexicana. |
Nickel |
0.07 |
0.04 |
0.020 |
— |
0.020 |
0.020 |
— |
Copper |
2 |
1.3 |
0.200 |
0.100 |
0.200 |
0.200 |
0.200 |
Zinc |
3 |
5 |
— |
5.000 |
5.000 |
3.000 |
5.000 |
Cadmium |
0.003 |
0.005 |
0.005 |
0.005 |
0.010 |
0.002 |
0.005 |
Mercury |
0.001 |
0.002 |
0.001 |
0.001 |
0.001 |
0.001 |
0.001 |
Lead |
0.01 |
0.015 |
— |
— |
— |
— |
— |
Arsenic |
0.010 |
0.010 |
0.010 |
0.010 |
0.050 |
0.010 |
0.025 |
Antimony |
0.020 |
0.006 |
0.005 |
0.006 |
0.005 |
0.003 |
— |
Iron |
— |
0.300 |
0.200 |
0.300 |
— |
0.300 |
0.300 |
Uranium |
0.030 |
0.030 |
— |
0.020 |
— |
0.017 |
— |
Manganese |
0.10 |
0.500 |
0.500 |
0.500 |
0.500 |
0.500 |
0.150 |
Thallium |
— |
0.002 |
— |
— |
— |
— |
— |
Silver |
— |
0.100 |
— |
— |
— |
0.100 |
— |
Chromium |
0.050 |
0.100 |
0.050 |
0.050 |
0.050 |
0.050 |
0.050 |
Table 5 Heavy metal pollution level in some selected African water bodies. This table has been reproduced from ref. 117 with permission from IntechOpen, copyright 2021a
HM/water source |
|
|
|
|
|
|
|
|
|
Ref. |
LVEA-WGP: Lake Victoria East Africa-Winam Gulf Point; LVEA-MGP: Lake Victoria East Africa-Mwanza Gulf Point. BHMPRSAJ: Borehole at Mpumalanga South Africa, ELH: East London Harbour, PEH: Port Elizabeth Harbour; Accra Abandoned Pit (AAP), OAP: Obuasi Abandoned Pit, AB: Accra Borehole, US: upstream, MS: main stream, DS: down stream; WW: Lagoon wastewater; BH: borehole, HDW: hand-dug well; PBW: pipe borne water. |
LVEA-MGP |
2.2 |
2.3 |
0 |
1.4 |
— |
0.006 |
— |
— |
— |
118 |
LVEA-WGP |
82.3 |
0 |
0 |
3.56 |
— |
0.017 |
— |
— |
— |
118 |
BHMPRSAJ |
>8 |
— |
— |
>0.2 |
>0.01 |
>0.03 |
— |
>1 |
|
104 |
Dzindi river |
3 |
— |
— |
— |
0.025 |
0.033 |
4.4 33 |
1.5 |
|
102 |
AAP |
— |
1.7 |
2 |
— |
— |
0.043 |
2.233 |
8.54 |
0.3 |
119 |
OAP |
— |
1.7 |
3 |
— |
— |
0.00167 |
3.11 |
7.92 |
0.3 |
119 |
US |
— |
1.7 |
2 |
— |
— |
0.00167 |
4 |
7.23 |
0.3 |
119 |
MS |
— |
5666.7 |
9 |
— |
— |
0.0097 |
4.74 |
5.77 |
0.2 |
119 |
DS |
— |
1.7 |
154 |
— |
— |
0.0547 |
22.2 |
8.72 |
0.2 |
119 |
AB |
— |
2.7 |
2 |
— |
— |
0.0013 |
5.9 |
1.13 |
0.4 |
119 |
LWW |
102 |
183.3 |
— |
22 |
0.255 |
1 |
— |
— |
|
61 |
PBW |
279 |
476.7 |
— |
100 |
1.51 |
4 |
45.4 |
175 |
|
96 |
BH |
455 |
463.3 |
— |
326.8 |
0.58 |
4.923 |
77.5 |
991.4 |
|
96 |
STREAM |
29 |
746.7 |
— |
402.2 |
1.755 |
2.063 |
20 |
113.2 |
|
96 |
RIVER |
669 |
1546.7 |
— |
101.2 |
1.075 |
1.547 |
105.8 |
61.2 |
|
96 |
HDW |
401 |
320 |
— |
2275.6 |
23.175 |
49.1 |
47.1 |
936.5 |
|
96 |
1.4 Point-of-care monitoring
Considering the status quo, sensors fabricated primarily for the detection of HMIs and techniques for the removal of HM are indispensable in the environmental,120,121 food,122 drinking water and biological fluids,123 and health124 analysis. In addition to the broad sensing spectrum, quick response, and high sensitivity that is generally expected in sensing parameters,125 other factors including reduced cost and ease of operation are consequently and increasingly becoming very pivotal.126 Top ranking conventional techniques such as inductively coupled plasma optical emission spectrometry (ICP-OES), atomic absorption/emission spectroscopy, UV-vis spectrometry, laser-induced breakdown spectroscopy (LIBS)123 were used in all the studies summarized in Table 5. Nonetheless, some abhorrent limitations such as wearisome sample preparation and pre-concentration, high professionalism required in personnel operation, and huge investment and maintenance costs impede the use of such techniques, notwithstanding their high sensitivity, and selectivity.125,127 Consequently, these methods are not congruent with the fast, cheap, and on the site measurement required in the compelling and continuous assessment of HMI in most African countries.121 The expanding demand for in situ, on-site tracking of the quality of water especially for environmental safety and human health, demands a comparatively highly sensitive and dependable technique that is cost-friendly and exerts less pressure on the ecosystem.121,128
Therefore, electrochemical sensors (ECS) could be easily put into a compact system that is affordable, easy to operate, and possible for the required outdoor application. Additionally, because HMs ions have pronounced redox potentials, the selectivity towards particular metal ions can be obtained by ordinary electrodes that do not necessarily involve a probe for molecular recognition. This technique depends on the electro-catalytic oxidation of pre-concentrated deposited analyte on the prepared electrode surface. They have been employed in a broad scope of applications such as food quality control, detection of chemical threats, environmental safety monitoring, and medical diagnostics. Several electrochemical strategies often recently employed include amperometry, voltammetry, impedemetry, conductometry, and potentiometry.32,129
1.5 Electrochemical sensor (ECS) materials
The choice of electrode material is one of the most important aspects of electrochemical sensing strategies.130 Different authors have reviewed, in some very impressive detail, the various electrode materials deployed in different electrochemical techniques.121,130–132 Mercury-based electrodes have been the traditional choice for HMI detection.129 However, mercury-based electrodes are highly toxic and not easy to handle. Hence, the quest for environmentally benign electrodes necessitated the complete replacement of such electrodes despite having high sensitivity, and a broad range of cathodic potential reproducibility. To respond to this quest, a bismuth-modified electrode became a good alternative to the toxic electrode. Although, concerns over the environmental friendliness of mercury electrodes were being sufficiently addressed by the use of bismuth (Bi) modified electrodes, a narrow range of cathodic potential and quick natural oxidation in the air became a huge setback on the use of the latter. To address this setback once again, researchers have shown that the incorporation of certain carbon-based materials such as graphene oxides and carbon nanotubes could enhance the senility and performance in the electrochemical sensing of HMIs.
Summarily and similarly, other solid electrodes including boron (B), platinum (Pt), glassy carbon electrodes (GCE), graphite, and gold doped diamond electrodes have also been employed in the quantification of HMIs using the ASV techniques.133 But the general sensing parameters of these electrodes without modification in mercury sensing rudimentary analysis has been poor. The films deposited and contact surfaces interact in multiple orders, leading to a multiplicity of stripping peaks. Likewise, the use of bulk electrodes (BE) in HMI detections is limited by low sensitivity, significant overpotential for analyte deposition, high stripping potential, and ionic interferences originating from both the attached metals and supporting electrolyte. These drawbacks render the BE invalid for the detection of HMI. To address this setback again, the modification of the bulk electrode surface with NPs for enhanced performance was introduced.134,135
With the introduction of screen printing technology, screen-printed electrodes (SPEs) mass production has been largely achieved.136 Screen-printed electrodes share similar electrochemical properties with traditional BE and possess the superiority of easy operation, the ability for outdoor and real-time sensing applicability over the bulk counterpart. These portable tools are made up of planar plastic or ceramic matrix, which carry the reference, counter and WEs configured on them. Hence, SPEs are applicable test strips that could be disposed off after use, for electroanalytical measurements. Additionally, the necessity of micro capacity of analyte and lesser power, shorter time of response, and extraordinary sensitivity put the SPEs as the most appropriate ECS for in situ analysis.
More so, the ease of modification of the surface of the SPEs using materials like, organic compounds or mediators and nanoparticles has immensely enhanced their sensing parameters, vis-à-vis sensitivity, and selectivity.137 This has made them viable tools as transducers in a broad range of biosensors: enzymatic, chemical, immuno- and geno, and apta sensors among others. The use of these electrodes in electrochemical analysis, following modifications, has demonstrated spectacular improvement in selectivity and sensitivity and amplified the possibility of multiple detections of HMIs. Other benefits of this single-use disposable sensor consist of riddance of the difficulties inherent with the residue of biofouling or impurity and lowering the concern of damaging sensors that could be reused.
In the final analysis, to offset these limitations, most literature reports concluded that superior electrode/sensor materials are hybrid materials, incorporating various materials with diverse complementary and supplementary properties.138,139 Such a blend of materials would include those with: (1) higher conductivity to foster electron transfer, (2) greater porosity for higher surface area with more active sites for either bonding of metal ion or loading of the active component, and (3) surface functional groups for improved bonding of metal and/or selectivity towards a particular target metal ion.121
1.6 Electrochemical detection of HMs: indigenous African contributions
1.6.1. Single detection.
1.6.1.1. Arsenic detection. To investigate the presence of arsenic (As) in water samples, using electrochemical strategies, Jimana and co-workers140 carried out a voltametric analysis of As3+ in a river in Pretoria, South Africa, using Co NPs/rGO modified exfoliated graphite electrode (eGE) (Fig. 5). Using the SWASV technique, HCl supporting electrolyte, a deposition potential (DP) of −1.0, deposition time (DT) of the 90 s, and a concentration range of 1–50 ppb of As(III), they obtained a linear variation of the peak currents with As3+ concentration with a regression coefficient (R2) of 0.9984. The limit of detection (LOD) and limit of quantification (LOQ) calculated were 0.31 ppb and 1.01 ppb respectively, which is far lower than the limits set by WHO (Table 3). They also considered the performance of the modified electrodes relative to other sensing parameters such as reproducibility, repeatability, and selectivity. The modified electrodes were found to be reproducible and selective with only Cu2+ ion serving as the interference in the presence of other anions like Na+, Ca2+, Mg2+, Cr6+, and Pb2+. Subsequently, real sample analysis was reported using river water samples from Pretoria, South Africa, and compared the result with the ICP-OES analysis. The As3+ concentration found in the water samples using the proposed sensor and ICP-OES were 9.35 ± 0.25 ppb and 9.44 ± 0.18 ppb respectively. The closeness of these values further validated their conclusion that the modified electrode could be adapted for monitoring As3+ in real environmental samples.
|
| Fig. 5 CV of (a) rGO, and rGO-Co electrodes in 5 mM [Fe(CN)6]3−/4−, (b) SWV at rGO and rGO-Co in As3+ solution. This figure has been reproduced from ref. 140 with permission from Elsevier, copyright 2014. | |
Mafa and co-workers141 also employed the SWASV to inspect the presence of As(III) in industrial influent and effluent water samples in South Africa, using the same eGE modified with gold nanoparticles (Au NPs) (Fig. 6).
|
| Fig. 6 Micrographs of (A) NGF; (B) EG; (C) EG-AuNPs (inset is the EDX spectrum); (D) EG-AuNPs on FE-SEM. This figure has been reproduced from ref. 141 with permission from Elsevier, copyright 2019. | |
Given an optimal pH of 3, DT of 180 s, the potential of −0.8 V, 0.05 V pulse amplitude, and 5 Hz frequency, a LOD and LOQ of 0.58 μg L−1 and 1.95 μg L−1 respectively with R2 = 0.9993 were calculated on EG-AuNPs electrode. Over a detection range of 1–50 ppb, they obtained a corresponding linear equation represented by:
Ip (A) = 4.6321 × 10−6C (ppb) + 4.2878 × 10−7 |
where
C = concentration in ppb (
Fig. 7).
|
| Fig. 7 (A) SWASV of different concentrations of As(III) (linear range: 1.0–50 ppb) at EG-AuNPs electrode; (B) calibration plot of peak current vs. As(III) concentrations. Potential vs. Ag/AgCl (3 M KCl). This figure has been reproduced from ref. 141 with permission from Elsevier, copyright 2019. | |
The fabricated electrode was tested for reproducibility, repeatability, and selectivity. The result showed that the electrode was of analytical significance. However, Cu2+ at a higher concentration (>20 ppb) proved to be an interference, which was mitigated with the introduction of ethylenediaminetetraacetic acid (EDTA). Nonetheless, they reported that Cu2+ did not interfere with As3+ in real sample analysis. The real sample analysis of the industrial water was compared with the results from the ICP-OES data and found to be reasonably close. The concentration of the influent water as measured by this technique and ICP-OES were 5.8 2 ± 0.42 ppb and 5.60 ± 0.44 respectively, while the concentration of As(III) in the effluent water measured by this technique and ICP-OES were 11.9 ± 10.19 and 10.70 ± 0.07 respectively. This was considered an improvement on earlier work using Bi-NPs to modify eGE to detect As(III), which resulted in an LOD of 5 ppb142 under optimum conditions itemized in Table 6.
Table 6 Comparing the LOD using voltametric detection of As3+ in water samples of recent reports from various researchersa
WE |
LOD (ppb) |
Electrolyte |
Detection time (s) |
Technique |
Continent |
Ref. |
EG: exfoliated graphene; CFE: carbon fiber electrode; AuE: gold electrode; SPE: screen printed electrode; GCE: glassy carbon electrode; CB = carbon black; UMEA = ultramicroelectrode array; Au-CRV = gold-crystal violet; PEDOT = poly(3,4-ethylenedioxythiophene); SWCN—single-walled carbon nanotubes, GENC—gold-embedded Nafion composite, Ibu-AuPNFs-SPCE—ibuprofen-gold nanostructured screen-printed carbon electrode. |
Co NP-rGO/EG |
0.310 |
HCl |
90 |
SWASV |
Africa |
140 |
Au-CFE |
0.900 |
0.1 M HCl |
10 |
DPSV |
South America |
149 |
AuNPs–CeO2–ZrO2/GCE |
0.137 |
0.1 M HAc–NaAc |
150 |
SWASV |
Asia |
150 |
Porous Au/GCE |
0.490 |
0.5 M H2SO4 |
800 |
ASLSV |
Asia |
151 |
[Ru(bpy)3]2+–GO/SPE |
1.573 |
0.1 M citrate buffer |
— |
DPASV |
Asia |
152 |
PEDOT/Pd |
0.52 |
1.0 M HCl |
120 |
DPASV |
Asia |
153 |
Pt NPs/GCE |
— |
0.5 M H2SO4 |
90 |
SWASV |
Asia |
154 |
TTCA/rGO/AuE |
0.054 |
— |
— |
SWASV |
Asia |
155 |
Bi-NPs/EG |
5.0 |
0.1 M KNO3 |
180 |
SWASV |
Africa |
142 |
UMEA/AuE |
0.05 |
2.0 M HCl |
80 |
SWASV |
USA |
156 |
CB-AuNPs/SPE |
0.4 |
0.1 M HCl |
300 |
ASV |
Europe |
157 |
AuNPs/GCE |
0.0096 |
1.0 M HCl |
180 |
LSV |
Europe |
158 |
AuNPs/GCE |
1.8 |
3.0 M HCl |
30 |
ASV |
Asia |
159 |
AuNPs/EG |
0.58 |
1.0 M HNO3 |
180 |
SWASV |
Africa |
160 |
AuNPs/SPE |
0.4 |
1.0 M HCl |
160 |
LSV |
Europe |
161 |
MnOx–AuNPs/GCE |
0.057 |
0.1 M CB |
200 |
LS-ASV |
Asia |
162 |
Au-CRV/GCE |
15.0 |
PBS |
— |
DPV |
Asia |
163 |
AgNPs/GCE |
1.2 |
1.0 M HNO3 |
120 |
DPSV |
Asia |
164 |
GCE AuNP |
0.28 |
0.1 M H2SO4 |
60 |
SWASV |
Africa |
165 |
SWCN GCE |
0.008 |
0.1 M ABS |
600 |
LSV |
Asia |
166 |
GENC |
0.047 |
0.1 M EDTA and 0.1 M PB |
120 |
SWV |
Asia |
167 |
Ibu-AuPNFs-SPCE |
0.018 |
1 M HCl |
180 |
CV |
Asia |
168 |
Apt/CNPs/AuNPs–GCE |
0.092 |
10 mM PBS |
— |
ASV |
Africa |
148 |
Idris and co-workers,143 advanced the study and reported a LOD of 0.28 ppb of As(III) under the optimum condition of pH 1, DP of −0.6 V, 60 s pre-concentration time, and 0.1 M H2SO4 supporting electrolyte using SWASV on Au-NPs/GCE. Over a broader As(III) concentration ranging from 0.01–50 mg L−1, a linear regression of Ip = 5.4923 × 10−4C + 8.58 × 10−3 with a correlation coefficient of 0.98843 was generated. The stability and selectivity analysis posit that the modified AuNPs/GCE could be used repeatedly without compromising its sensitivity and selectivity in interference of Ca2+, Na+, K+, and Mg2+ respectively. However, it was prone to interferences from Cd2+, Cu2+, and Hg2+. In some sense, this work improved on previous works by the group, viz. LOD, sensitivity, and stability.
The real-life sample validated the potential of the applicability of the fabricated electrode in environmental monitoring. The GCE-AuNPs and ICP-OES analysis at n = 3 resulted in As(III) concentrations of 10.4 (±0.26) ppb and 10.7 (±0.22) respectively.
Bimetallic nanostructured materials (Fig. 8), either as alloys or core–shell NPs have been exploited as sensing elements for the electrochemical analysis of HMIs.144–146
|
| Fig. 8 SEM images of Au45Pt55, Fe70Pd30, Fe40Pt60, and Fe10Au90 bimetallic NPs and pristine Au and Pd NPs and their higher magnification images in the insets, with scale bars of 500 and 100 nm, respectively. This figure has been reproduced from ref. 144 with permission from American Chemical Society (ACS), copyright 2015. | |
The advantage of this group of materials is due to their optical, catalytic, and magnetic characteristics that present pronounced additional benefits over those of their constituent individual counterparts.145,147 By deploying the suitable functional monomers, cross-linking, and template ions, the technique can be employed to assemble a very selective, sensitive, and cheap probe that is hinged on printed techniques for the detection of HM in water and biological samples, because of its rich properties featuring high surface area and a 3D framework made of highly open spaces that are interconnected to each other. Arotiba and co-workers148 used aptamer-carbon-gold bi-nanoparticle modified GCE (Apt/CNPs/AuNPs-GCE) on ASV strategy to trace As3+ in water samples. Good reproducible, sensitive, stable, and selective (Fig. 9) results were generated, at optimal conditions, with a LOD of 0.092 ppb. The synergy between the two nanoparticles was able to eliminate the interference from Cd2+, Cu2+, and Hg2+ common in the detection of As3+. Table 6 compares the LOD using voltametric detection of As(III) in water samples with other recent reports from other counterparts around the world.
|
| Fig. 9 Aptasensor selectivity test. This figure has been reproduced from ref. 148 with permission from Elsevier, copyright 2019. | |
1.6.1.2. Cadmium sensing. Fakude and co-workers169 reported the detection of Cd2+ using SWV on carbon black gold nanoparticles aptamer modified screen printed carbon biosensor electrode-CB-Au NPs-Apt-/SPCE to get a LOD and LOQ of 0.14 ppb and 0.47 ppb respectively. Over the analyte concentration range of 1–50 ppb, in a 10 mM PBS, pH 7.45 supporting electrolyte, with an incubation time of 30 min, they obtained a linear regression of the Cd2+ concentration and current expressed as Ip (μA) = 0.2613C + 3.1216, where C is the concentration of Cd in ppb, a regression coefficient of 0.9926. The engineered aptasensor (Fig. 10) was analyzed for stability, reproducibility, and selectivity and was found to be of analytical consequence.
|
| Fig. 10 Graphical demonstration of the procedure of fabrication and principle of detection of the Cd2+ using the aptasensor. This figure has been reproduced from ref. 169 with permission from Elsevier, copyright 2019. | |
They sought to improve the selectivity of the aptasensor towards Cd(II) in the presence of peculiar interferences from Zn2+, Cu2+, and Pb2+, among other likely interferences from Cr4+, Mn2+, Ca2+, Ag+, Mg2+, As3+, Se4+, and Co2+. Based on initial works, Pb2+, Cu2+ and Zn2+, can interact with aptamer in a very counterproductive way. To alleviate that, nitrilotriacetic acid (NTA) was introduced to play the role of a masking agent that could undermine possible interferences and subsequently achieved the desired result. Using industrial effluent water and tap water as real-life samples, they obtained Cd2+ concentration in the former and latter to be 1.421 ppb and 0.000 ppb respectively. Using ICP-OES analysis as a basis for validation of the aptasensor, close values were realized with both techniques.
Amongst the electrochemical biosensors, electrodes modified by enzymes have gained more relevance and consequently have been deployed either directly or indirectly making use of the effects of inhibitors on trace metal ions on the enzyme.120,170 Mambo et al.,120 used a more ‘indigenous and ingenious’ horseradish peroxidase (HRP) biosensor. The bio-based sensor was prepared from carbonized natural organic material of maize tassel. MWNTs treated electrode for the quantification of divalent HMIs and Cd2+ used as a reference divalent metal.
In 0.1 M phosphate buffer solution (PBS), pH 7.0, with 20 min DT, using LSV, they realized a linear response over a 2–30 ppb Cd2+ concentration range, and LOD of 0.51 ppb. They concluded that the biosensor could be used for environmental applications but failed to establish the reproducibility, stability, and application from real samples analysis (Table 7).
Table 7 Comparing the LOD using voltametric detection of Cd2+ in water samples for a pool of data from different sourcesa
Working biosensor |
LOD (ppb) |
Electrolyte |
Linear range (ppb) |
Technique |
Continent |
Ref. |
ssDNA/Au: single-stranded DNA modified Au electrode, dsDNA-CPE: double-stranded DNA-carbon printed electrode. BiNPs-SPE: bismuth NPs-screen printed electrodes. MWCNT: multi-walled carbon nanotubes. |
Au/aptamer |
92 |
10 mM ABS/NaClO4 (pH = 4.5) |
250–1000 |
ACV |
USA |
171 |
ssDNA/Au |
0.3 |
50 mM PBS (pH = 7.0) |
1–20 |
CV |
Asia |
172 |
dsDNA-CPE |
0.0003 |
0.50 M ABS (pH = 4.8) |
0.01–1 |
DPV |
Asia |
173 |
BiNPs-SPE |
3 |
0.1 M KCl (pH = 6) |
0.1–150 |
LSV |
Asia |
174 |
SPCE-CB-AuNPs-Apt |
0.14 |
10 mM PBS (pH = 7.45) |
1–50 |
SWV |
Africa |
169 |
HRP-MT-MWCNT |
0.51 |
0.1 M PBS (pH = 7.0) |
2–30 |
LSV |
Africa |
120 |
1.6.1.3. Copper sensing. Ndlovu and co-workers175 used SWASV on CoO NPs/eGE to investigate the quantity of Cu2+ present in water samples from a dam and bottled water. Under the procedural conditions of using 0.1 M HNO3 supporting electrolyte, DP of −0.5 V and DT of 300 s, over a linear range between 100 and 2000 ppb, the peak current and the copper concentration had a response with a linear regression equation of Ip (A) = 1.086 × 10−4C − 2.374 × 10−7, (C = concentration of Cu2+), the regression coefficient of 0.998 and LOD of 94 μg L−1. They argued that the low LOD obtained was first the result of the efficient sensitivity of the SWASV technique used, and secondly the contribution of the CoO in enhancing the signal of Cu2+ through increasing the electroactive surface area and conductivity of EG electrode and eventually causing amplification of the signal during electroanalysis. The electrode was analyzed for stability, reproducibility, and selectivity and was found to be of analytical importance in environmental monitoring. The real sample result from the analysis of the bottled water and dam using the CoO-EG electrode and the present technique was comparable with that of the standard technique-FAAS. On the crucial issue of the safety of our drinking water, the functionalized electrode was able to detect far below the standard for drinking water by WHO (Table 3). Additionally, the quantity of Cu2+ ions found in both water samples was within the limit of acceptance for safe drinking water (Table 8).
Table 8 Comparing the LOD using voltametric detection of Cu2+ in water samples of recent reports from various researchersa
Working electrode |
LOD (ppb) |
Electrolyte |
Linear range (ppb) |
Technique |
Continent |
Ref. |
CCSC: Constant Current Stripping Chronopotentiometry; APS: aminopropyl-grafted silica gel. DPV: differential pulse voltammetry. NiC: Ni/NiO/ZnO/CS wire (CS: chitosan). IIP: ion-imprinted polymeric film. ZIF-67: Co-based zeolitic imidazolate framework-expanded graphite. |
Ni/NiO/ZnO-6/CS |
0.13 |
PBS (pH = 7.0) |
0–958 |
DPV |
Europe |
176 |
GA-UiO-66-NH2/GCE |
7 |
0.2 M ABS (pH = 5.0) |
100–3500 |
DPSV |
Asia |
177 |
ZIF-67-EG |
2.23 |
0.1 M ABS (pH = 5.0) |
500–3000 |
SWASV |
Asia |
178 |
AuNPs/CNFs/GCE |
100 |
0.1 M PBS, (pH = 6.8) |
100–1000 |
SWASV |
Asia |
179 |
Cu2+-IIP film |
2.7 |
50 mM ABS (pH = 5) |
0.95–15.2 |
DPV |
Europe |
180 |
APS-CPE |
0.003 |
0.1 M HNO3 (pH = 1) |
0.05–0.2 |
SWASV |
Europe |
181 |
CoO-EG |
94 |
0.1 M HNO3 |
100–20000 |
SWASV |
Africa |
175 |
1.6.1.4. Mercury sensing. Mercury remains one of the most toxic elements in ecosystems due to its high reactivity, life-threatening volatility, and relative solubility in water and biological tissues.182 Notwithstanding several research efforts lately, mercury contamination of soils, groundwater, sediments, and industrial effluents is a cause for concern. Additionally, the vast aqueous media mobility and extreme toxicity demand effective strategies for its detection and appropriate technologies for their quantification and monitoring in the environment.121 Matlou and co-workers125 conducted a study on Hg2+ ion detection in water using self-assembled SWCNT-poly(m-amino benzene sulfonic acid (PABS)) on an AuE (Fig. 11) and SWASV technique. Reproducible results were generated. After optimization, a linear calibration in the range of 20–50 ppb Hg2+ concentration, with a LOD of 0.06 μM was obtained. This novel Au-DMAET-(SWCNT-PABS) sensor and the technique used were applied to mercury analysis on influent water from a wastewater treatment plant in South Africa and found to give results comparable to that obtained from using ICP-OES.
|
| Fig. 11 2D and the resultant 3D topographical surface images of the SAM modified Au disks at a scan size of 1.5 μm. (a) Bare Au surface. (b) Au-DMAET surface. (c) Au-DMAET-(SWCNT-PABS). This figure has been reproduced from ref. 125 with permission from Elsevier, copyright 2016. | |
Tonle and coworkers170 reported an interesting study using naturally existing materials to confront the vastness of the heavy metal pollution challenging Africa. With natural smectite-type clays collected from Baba hills in West Cameroon, Central Africa functionalized with organic chelating of either aminopropyl or mercaptopropyl groups they modified carbon paste electrodes to obtain two electrodes named organo-clay-modified carbon paste electrodes (OCMCPE) differentiated across chelating agents. The electrode was modified with the natural clay known as “Ba”, functionalized precisely with γ-aminopropyltriethoxysilane (APTES) and 3-mercaptopropyltrimethoxysilane (MPTMS) to obtain Ba-NH2-CPE and Ba-SH-CPE, respectively. Using DPV, they realized an optimal conditions as LOD of 87 nM and 68 nM (S/N = 3), respectively, for the Ba-NH2-CPE and Ba-SH-CPE, over a linear response from 0.1 to 0.7 μM Hg2+ concentration range. Another inspiring study was presented by Tonlé and co workers on the use of organoclay (amino-functionalized attapulgite)-film modified GCE for the ultra-detection of Hg(II) in water, using laboratory tap water for real sample analysis.183
The modified electrode was characterized by SEM, XRD TGA/DTG analysis to ascertain their modification before deployment for electrochemical characterization. Using DPASV technique, giving carefully selected optimum conditions (Fig. 12), they realized LOD of 0.043 pM (N = 3), over a linear Hg2+ concentration range from 1 to 4 pM and regression coefficient R2 = 0.997. The electrode was also very selective towards Hg2+ even in the presence of pestilent interfering metals like Cd2+ and Pb2+. After some shrewd manipulation of experimental parameters, they realized a LOD of 0.091 nM (S/N = 3) over a linear response in the Hg2+ concentration range of 0.25–1.5 nM (R2 = 0.996), in the presence of interferences from Pb2+ and Cd2+, at DP of −0.6 V vs. Ag/AgCl and DT of 30 s. The proposed strategy posited functionality in the analysis of the laboratory tap water.
|
| Fig. 12 Pareto chart (a) for peak currents of Hg2+ ions Y and response surface of a 3D plot (b) indicating the effect of concentration of detection medium and accumulation medium pH on Hg2+ peak current. This figure has been reproduced from ref. 183 with permission from Elsevier, copyright 2019. | |
Using DPASV on palladium NPs modified carbon paste electrode (Pd NPs-CPE), Aroui and coworkers184 examined the applicability of the WE in environmental monitoring of Hg2+ in both wastewater and tap water. The uniqueness of their work like that of Tonle and coworkers170 lies in their description of a very insightful method of impregnating natural phosphate with palladium NPs, and engineering of the modified CPE. The modified electrode surface was categorized, with SEM (Fig. 13), FTIR, XRD analysis (Fig. 14), and electrochemical analysis, all of which pointed to the efficient modification of the CPE surface by the NPs. They realized, given optimum conditions, a large linear concentration range of 0.5–70 μM (R2 = 0.98), a LOD and LOQ for tap water to be 57.4 nM and 191.3 nM (RSD = 3.40%) respectively, while the LOD and LOQ for wastewater were 289 nM and 482 nM (RSD = 4.11%) respectively. The recoveries of mercury in tap water and wastewater at the functional concentration were above 94.9 and 64.5% respectively. They claimed that organic matter in wastewater, resulting in the decreased absorption process of mercury, accounted for the lower recovery. However, the WE (Pd-NP-CPE) using the proposed technique was found to be sensitive and selective, and thus showed good applicability in environmental monitoring of Hg2+ in water media.
|
| Fig. 13 SEM images of the NP (a) and Pd-NP (b) powders. This figure has been reproduced from ref. 184 with permission from WILEY-VCH, copyright 2014. | |
|
| Fig. 14 X-ray diffraction of synthesized Pd-NP. This figure has been reproduced from ref. 184 with permission from WILEY-VCH, copyright 2014. | |
Somerset and co-workers185 prepared monomer solutions of aniline (ANI) and 2,2′-dithiodianiline (DTDA), an aniline derivative containing –S–S– links, and employed it in the electrochemical copolymerization of ANI and DTDA by cyclic voltammetry on SPCE in 1 M HCl (Fig. 15). The generated WEs were labelled SPCE-PANI and SPCE/PANI-PDTDA and were used in electroanalysis of Hg2+ in a water medium using DPASV. After a meticulously selected optimal condition, namely, 0.1 M H2SO4 containing 0.5 M HCl supporting electrolyte medium, pH of 1–2, DT and DP of 120 s and −0.3 V respectively, over a potential window of −0.3 V to 1.5 V, they realized a LOD of 56.37 ± 3.71 ppb over Hg2+ concentration linear range of 1–5 μM (r2 = 0.9892). Comparatively, the LOD was in the high range as seen in Table 9. On a polyaniline-methylene blue (PANI-MB) polymer layer modified SPCE, the same group realized a slightly lower Hg2+ LOD of 54.27 ± 3.28 ppb, over the same linear range of 1–5 μM (r2 = 0.9846) and similar procedural optimal conditions.186 In a later study, using the same SPCE-PANI and SPCE/PANI-PDTDA (poly-DTDA), following successful electrodeposition of the co-polymers in an acid medium on the surface of the SPCE they realized a lower LOD of 0. 22 pM (n = 10), and 84 pM (n = 10) at the SPCE/PANI-PDTDA and SPCE/PANI sensor, respectively at a lower concentration range of 0.001–0.1 μM.187
|
| Fig. 15 A cyclic voltammogram (CV) displaying the electropolymerization of the co-polymer of PANI-PDTDA on an SPCE surface is shown in (a). The last cycle obtained for the PANI-PDTDA electropolymerization is shown in (b). The potential was cycled between −200 and +1100 mV at a scan rate of 50 mV s−1 for 10 cycles. This figure has been reproduced from ref. 185 with permission from Elsevier, copyright 2009. | |
Table 9 Comparing the LOD using voltametric detection of Hg2+ in water samples of recent reports from various researchers
Working electrode |
LOD (nM) |
Electrolyte |
Linear range (μM) |
Technique |
Continent |
Ref. |
Detection of Hg2+ ions was performed in presence of Cd2+ and Pb2+ ions. Carbon fibre mat electrode. Thiol-functionalized silica film. Thiol terminated self-assembled monolayer on mesoporous silica. Carbon paste electrode. Mercaptopropyl functionalized silica. Thiol functionalized chitosan. |
Ba-NH2-CPE |
87 |
0.1 M HNO3 pH 1 |
0.1–0.7 |
DPASV |
Africa |
188 |
Ba-SH-CPE |
68 |
GCE/ATTA-NH2 |
0.000043 |
2 M HCl pH 2 |
0.001–0.004 nM |
DPASV |
Africa |
183 |
GCE/ATTA-NH2a |
0.091 |
0.00025–0.0015 |
Au-DMAET-(SWCNT-PABS) |
60 |
0.1 M HCl pH = 3 |
20–250 ppb |
SWASV |
Africa |
189 |
SWCNT-PhSH/Au |
3.0 |
0.1 M HCl pH = 1 |
0.005–0.09 |
SWASV |
Asia |
190 |
AuNPs/CFMEb |
100 |
0.1 M HCl |
0.2–50 |
DPASV |
Asia |
191 |
AuNPs-GC |
0.42 |
0.01 M HCl |
0.00064–0.004 |
SWASV |
Europe |
192 |
Cys-AuNPs-CILE |
2.3 |
0.1 M PBS pH 7.0 |
0.01–20 |
SWASV |
Asia |
193 |
SPGE |
1.1 |
0.10 M HCl |
0.005–0.03 |
SWASV |
Europe |
194 |
np-AuNPs/ITO |
30 |
0.1 M HCl |
0.1–10 |
DPASV |
Asia |
195 |
Silica-SHc/GCE |
4300 |
1.0 M KCl |
0.01–0.1 |
ASV |
Europe |
196 |
SAMMS-SHd/CPEe |
15 |
0.2 M HNO3 |
0.1–8 |
ASV |
Asia |
197 |
Metallothionein/Au |
80 |
0.025 M Tris–HCl |
0.15–0.3 |
CSDPV |
Asia/Europe |
198 |
Graphene–cysteamine/Au |
3 |
0.10 M HCl |
0.005–0.04 |
SWASV |
Asia |
199 |
MPSf/Au |
100 |
— |
0.1–1 |
DPV |
Australia |
200 |
Chit-SHg/multi-walled carbon nanotubes/GCE |
3 |
— |
0.01–0.14 |
ASV |
Asia |
201 |
CMC@AgNPs/GCE |
0.19 |
0.1 M KCl pH 7.0 |
5–75 |
DPASV |
Asia |
202 |
PVP@AgNPs/GCE |
73 |
Pd-NP-CPE |
49.9 |
0.1 M HCl pH = 1.36 |
0.5–70 |
DPASV |
Africa |
203 |
SPCE/PANI-DTDA |
56 |
0.5 M HCl, pH = 1–2 |
1–5 |
DPASV |
Africa |
185 |
SPCE/PANI-MB |
53 |
0.5 M HCl, pH = 1–2 |
1–5 |
DPASV |
Africa |
186 |
SPCE/PANI-PDTDA |
0.00022 |
0.5 M HCl, pH = 1–2 |
0.001–1 |
DPASV |
Africa |
187 |
1.6.1.5. Lead sensing. Arotiba and co-workers123 exploited the use of carbon paste electrode modified with raw clay in the SWASV strategy for sensing Pb2+ ion in water samples over a linear concentration range of 1–100 ppb to get a limit of 2.48 ppb at optimal conditions. The linear regression equation for Pb(II) is represented by the relation:
I (A) = 1.56746 × 10−6[Pb(II)] − 7.2273 × 10−5 (R2 = 0.9718). |
The overt novelty of the work rested on the chemical purification of this raw kaolin clay, its intercalation with sodium dodecyl sulphate (SDS), and subsequent modification of a graphite powder assembled carbon paste electrode. The electrode was sensitive, stable but showed no special selectivity towards Pb in the presence of interferences like Cu2+, Hg2+, and Cd2+. The tap water sample analysis of this electrode underscored its applicability of it in real environmental monitoring, having results reconcilable with that of the ICP-OES counterpart analysis.
The same group used poly(propylene imine) (PPI) modified re-compressed eGE in SW-ASV detection of Pb2+ in water samples over a linear range, (2.5–40 ppb of Pb2+ concentration) to get a LOD of 1 ppb at optimum conditions.204 In addition, they developed PPI dendrimer-Au nanocomposite modified GCE (GEC/PPI-Au) for Pb2+ ion detection in tap water using a similar technique205 to realize a LOD of 0.96 ppb, over a broader linear range of 1–100 ppb. Sample analyses were also validated with standard techniques.
Tonle and group206 also described a single step co-intercalation of varying concentrations of cetyltrimethylammonium ions (CTA+) and thiourea within the interlayer region of smectite and their applicability as WEs in the evaluation of Pb2+ in water. The organoclay modification was characterized by XRD, FTIR (Fig. 16), and N2 adsorption–desorption and was shown to be successful.
|
| Fig. 16 FTIR spectra (4000–400 cm−1) of (a) Sa(Na); (b) Sa(Na,T); (c) Sa(CTA0.25,T); (d) Sa(CTA0.5,T); (e) Sa(CTA0.75,T) and (f) Sa(CTA1.0,T). This figure has been reproduced from ref. 206 with permission from Elsevier, copyright 2014. | |
Given optimal conditions at the organoclay thin film modified GCE, they realized a very impressive LOD (S/N = 3) of 0.029 nM from a calibration curve, over a broad range of Pb2+ concentrations (10–100 nM). The applicability of the electrode and the voltametric technique were examined with tap water analysis of Pb2+ and proved to be of environmental monitoring significance.
The same group used ASSWV at thiol-functionalized kaolinite modified CPE for quantification of Pb2+ (Fig. 17 and 18).207
|
| Fig. 17 Illustration of the sequential treatment of the kaolinite interlayer space resulting in the thiol-functionalized material (K–DMSO: dimethylsulfoxide-kaolinite intercalate; CIPTESi 3-chloropropyltriethoxysilane; K-SiPCL: chlorosilane; K-SiPSH: thiol-functionalized kaolinite). This figure has been reproduced from ref. 207 with permission from WILEY-VCH, copyright 2011. | |
|
| Fig. 18 XRD patterns of (a): K, (b): K–DMSO, (c): K-SiPCl and (d): K-SiPSH. This figure has been reproduced from ref. 207 with permission from WILEY-VCH, copyright 2011. | |
Under optimal conditions (0.2 M HClO4 electrolyte, potential time and deposition of 60 s and −0.9 V respectively), they obtained Pb2+ concentration linear response from 0.3–10 μM, with a regression correlation equation expressed as:
I (A) = 2.02[Pb2+] + 3 × 10−7 (R2 = 0.9973) |
and a LOD of 0.06 μM (S/N = 3). The proposed electrode was found to be of analytical relevance even in real-life samples using tap water. However, the authors reported likely interferences from Ag(
I), Co(
II), and Zn(
II) and definite interferences from Cd
2+ and Hg
2+ which they reported could be due to the high competition of the Pb
2+, Hg
2+, and Cd
2+ for the functional chelating sites of the electrode material used.
Another interesting work by Tonlé and co-workers [Fig. 19], described the quantification of Pb2+ using ASDPV on another organoclay, namely functionalized amine attapulgite, and modified GCE.208 The functionalization with amine was possible because of the covalent impregnation of [3-(2-aminoethylamino)propyl] trimethoxysilane (AEPTMS). The successful grafting of the organoclay with the amine group was confirmed by physiochemical analysis of the composite using FTIR, XRD, and elemental analysis of constituent carbon–hydrogen–nitrogen. At carefully studied and selected optimal conditions (HCl electrolyte, pH = 1, accumulation time = 5 min, DP and time of −1.0 V and 40 s respectively), they obtained a linear response (R2 = 0.998) in the 4 to 40 pM concentration range for Pb2+ and an overwhelmingly low LOD of 0.88 pM (S/N = 3). This sensitive and stable electrode and the present technique under optimal conditions were used in analysing successfully the possible contamination of Pb2+ in the tap water sample. The selectivity towards Pb2+ in the presence of Cu2+, Hg2+, Ti2+, and In3+, however, could also be improved upon.
|
| Fig. 19 Graphical summary illustrating the electrochemical detection of Pb2+ using the functionalized AEPTMS/GCE on DPV technique. This figure has been reproduced from ref. 208 with permission from Elsevier, copyright 2012. | |
Smith and co-workers209 described a very novel use of low-cost paper-based ECS (Fig. 20 and 21) for water quality monitoring.
|
| Fig. 20 Conceptual design of multi-layer paper based ECS that shows (a) a variety of materials components and layers (b) complete sensor design. This figure has been reproduced from ref. 209 with permission from Society of Photo-Optical Instrumentation Engineers (SPIE), copyright 2017. | |
|
| Fig. 21 Comparison of CV: (a) photo paper sensors with and without Bi-OLC coating on the WE; (b) photo paper sensor coated with Bi-OLC compared to a commercial screen-printed ceramic electrode coated with BI-OLC, CV performed in 0.1 M KCL containing 5 mM [Fe(CN6)]3−/4− at 20 mV s−1. This figure has been reproduced from ref. 209 with permission from Society of Photo-Optical Instrumentation Engineers (SPIE), copyright 2017. | |
They obtained a LOD of 0.3 ppm, over a linear concentration range of Pb2+ between 0 and 10 ppm using SWASV on bismuth-OLC (onion-like carbon) nanoparticle ink sensor modified carbon electrode in acetate buffer solution, DT and DP of 300 s, and −1.4 V respectively, the amplitude of 0.025 V, 15 Hz frequency, and potential increment of 0.004 V. The linear response regression equation are presented as:
Ip (μA) = 24.474[Pb2+] (ppm) − 10−7 (R2 = 0.9956) |
The sensor platform presented a detection limit of 0.3 ppm, which was greater than the WHO standard of lead concentration (5 ppb) for safe drinking water, and hence should be subjected to further optimization and improvement before environmental sensing applications. The significance of these sensors in environmental monitoring of lead contamination in water was huge, and comparable with that of other researchers from other continents as seen in Table 10.
Table 10 Comparing the LOD using voltametric detection of Pb2+ in water samples of recent reports from various researchersa
WE |
LOD (ppb) |
Electrolyte |
Linear range (ppb) |
Technique |
Dynamic time (s) |
Continent |
Ref. |
SPAuE: Screen Print Gold Electrode TPP: tripolyphosphate-kaolinite, TMFE-HF: a thin mercury-film electrode (TMFE) plated onto an HF-resistant epoxy-impregnated graphite rotating-disc. PolyChip-AgE: polymer lab chip-silver electrode. |
CPE/DMSO/SiPCl/SiPSH |
2.130 |
0.4 M HClO4 |
10.6–355 |
SWV |
60 |
Africa |
207 |
CPE/TPP |
2.982 |
0.10 M ABS (pH 7) |
10.65–710 |
DPV |
300 |
America |
210 |
CPE/SDS |
2.481 |
0.1 M HNO3 |
1–100 |
SWV |
30 |
Africa |
211 |
EG/PPI |
1 |
0.1 M KCl |
2.5–40 |
SWASV |
180 |
Africa |
204 |
TMFE-HF |
0.0036 |
3 M KCl |
0–4 |
SWASV |
300 |
Europe |
212 |
SPAuE |
0.5 |
0.1 M HCl |
0–50 |
SWASV |
120 |
Europe |
213 |
BiE |
8 |
ABS/0.1 M KCl pH 4.65 |
25–400 |
SWASV |
60 |
America |
214 |
BiF-CPE |
0.8 |
0.1 M ABS pH 4.50 |
20–200 |
SWASV |
90–120 |
Europe |
215 |
SPE-BiF |
2.3 |
0.1 M ABS pH 4.5 |
20–100 |
SWASV |
300 |
Asia |
216 |
PolyChip-AgE |
0.55 |
0.01 M HNO3/0.01 M KCl |
1–1000 |
SWASV |
300 |
America |
217 |
PPI-AuNPs/GCE |
0.96 |
0.1 M of HNO3 |
1–100 |
SWASV |
150 |
Africa |
205 |
CTA+/GCE |
29 pM |
0.1 M HCl |
0.01–0.1 μM |
SWV |
600 |
Africa |
218 |
AEPTMS/GCE |
0.88 pM |
HCl, pH 1 |
4–40 pM |
DPASV |
300 |
Africa |
208 |
Bismuth-OLC |
0.3 ppm |
ABS |
0–10 ppm |
SWASV |
300 |
Africa |
209 |
1.6.1.6. Selenium sensing. Selenium may not be as common as other HMs, yet its importance in human health is no less.219 The deficiency of it as one of the major constituents of the protein in the human body results in health complications such as liver, cardiovascular, and other heart diseases, hair losses, immunity deficiency, constant fatigue, the decline in mental health, and abnormality in reproduction.220 However, like most HMs that are vital for human wellbeing, the boundaries between their importance and toxicity are still a narrow window.221,222 At concentrations beyond 10 ppb in potable water, WHO considers the water unsafe as over dozed exposure could result in a nervous breakdown, gastrointestinal disturbance, nausea, vomiting, and skin sores.223 Hence, Arotiba and co-workers224 have described a simple and novel voltametric approach (SWASV) in monitoring selenium concentration in water using rGO modified GCE. Given optimum conditions (DP of −0.5 V, pH = 1, DT of 240 s, and 0.1 M HNO3 supporting electrolyte), they realized a linear response with the regression equation of:
I (μA) = 0.8432[Se4+] + 9.2359 (R2 = 0.9856), |
over a linear concentration range of selenium between 0.01 and 50 ppm and LOD of 0.85 μg L−1. The authors did not find the electrode having selectivity towards Se(IV) in the presence of Cu2+ and Cd2+. However, the real water sample analysis comparable with the ICP-OES analysis validates the environmental practicability of the set used. On nitrogen-doped graphene-modified GCE (NG-GCE), at optimal conditions (0.1 M HClO4 supporting electrolyte, −0.8 V DP and 50 s DT), the same group realized a linear response (R2 = 0.9943) in the Se(IV) concentration range of 1–120 ppb and a LOD and LOQ of 0.092 ppb and 3.07 ppb respectively.225 The problem of interference of Cu2+ and Cd2+ persisted, which they eliminated by the introduction of 0.1 M EDTA. They opined that the Cu2+ and Cd2+ from bulky complexes with EDTA, which could not be detected by the NG (film)-GCE. This current study, in so many ways, thus became an improvement on the earlier study, vis-à-vis the LOD, broader linear concentration range, regression coefficient, and selectivity.
1.6.1.7. Zinc sensing. Moyo226 employed a composite of maize tassel (MT)-MWCNT as a matrix for physical adsorption of horseradish peroxidase (HRP) GCE surface through electrostatic interactions as a biosensor in the assessment of Zn2+ in aqueous media. The functionalized electrode was electrochemically characterized using a cyclic voltammogram in 0.1 M PBS, pH = 7.0, containing 0.1 M KCl. The biosensor operating on inhibition of the enzymes concerning the concentration of Zn2+ could be used to determine the presence of Zn2+ in the concentration range of 0.35–12 mg L−1 with a LOD of 0.0075 mg L−1. The biosensor was found to be stable, reproducible, and highly selective and could be used in the determination of other HRP inhibiting trace metals.Similar work was done by Iwuoha and coworkers227 using an HRP inhibitor biosensor in the quantification of some selected metals. In this case, Cd2+, Cu2+, and Pb2+ were detected using the amperometric technique. The WE, Pt-PANI-HRP electrode was characterized with CV and DPV in the absence and presence of H2O2 in 0.1 M PBS, pH = 7.02. The amperometric analysis delivered a LOD (in ppb) of, 0.03, 0.10, and 0.09 for, Pb2+, Cu2+, and Cd2+ respectively. The biosensor was found to be stable, reproducible, and sensitive and promised good applicability in a real environmental application.
1.6.1.8. Nickel sensing. In 2005, Whitesides and coworkers introduced the use of microfluidic paper-based electrochemical devices (μPEDs).228 In the report, the unique properties of paper substrates and exceptionally sensitive electrochemical sensing strategy were exploited in order to engineer cheap, disposable, and quantitative analytical methods. Pokpas and coworkers229 reported the first use of the SWAdCSV in the detection of Ni2+ ion using these cheap, disposable, and pre-stored microfluidic paper-based electrochemical cells (PECs) depending on a straightforward paper disk strategy. At optimal reagents conditions, using dimethylglyoxime (DMG) as a chelating agent, mercury for adsorption of the Ni2+ analyte in 0.1 M NH3/NH4Cl buffer (pH 9.4) drop cast on the PECs, and then overlaying commercial SPCE, they realized a linear response in the concentration range of 15–120 ppb for Ni(dmgH)2 on both the mercury impregnated (DMG-Hg-μPPEC) and mercury-free (DMG-Hg-free-μPPEC) paper-based sensor arrangement. They realized a LOD and sensitivity of 6.27 ppb and 7.08 μA L−1 μg−1 with a correlation coefficient of 0.997 on DMG-Hg-μPPEC and a LOD and sensitivity of 13.1 ppb and 1.89 μA L−1 μg−1 with a correlation coefficient of 0.996 on DMG-Hg-free-μPPEC for the Ni(dmgH)2. The detection limit was also comparable to that of others reported in the literature for Ni2+ (Table 11). Over a narrower linear concentration range, the electrodes promised a higher sensitivity. The sensor and the applied technique were found to be stable, and selective towards Ni(dmgH)2 in the presence of other metal interferences at a concentration up to 100 ppb, underscoring the satisfactory analytical performance of the electrode. The electrode also demonstrated applicability in real-life samples of tap water and test solutions having possible metallic interferences but performed poorly in contaminated dirt samples.
Table 11 Comparing the LOD using voltametric detection of Ni2+ in water samples of recent reports from various researchersa
Electrode |
Modifier |
Technique |
DT (s) |
DLR (μg L−1) |
LOD (μg L−1) |
Continent |
Ref. |
RBiABE: renewable bismuth bulk (annular band) electrode; SBVE: solid bismuth vibrating electrode; DT: Deposition Time; DLR: Dynamic Linear Range; PbF: lead film. |
SPCE |
mpBiF |
AdCSV |
180 |
1–10 |
0.027 |
Europe |
232 |
RBiABE |
— |
DP-AdSV |
30 |
0.6–41 |
0.18 |
Europe |
233 |
SPE |
PbF- |
SWV |
60 |
0.6–2.9 |
0.2 |
Europe |
234 |
SBVE |
— |
SW-AdCSV |
30 |
0–10 |
0.6 |
Europe |
235 |
CPE |
DMG- |
DP-AdSV |
120 |
80–600 |
27 |
Europe |
236 |
SPE |
DMG-N |
DP-AdSV |
120 |
60–500 |
30 |
Europe |
237 |
PGE |
ERGO-MF |
SW-AdCSV |
210 |
2–16 |
0.12 |
Africa |
230 |
GCE |
NGr-DMG |
SW-AdCSV |
120 |
2–20 |
1.5 |
Africa |
231 |
μPPEC |
DMG-Hg |
SW-AdCSV |
90 |
15–90 |
6.27 |
Africa |
229 |
DMG-Hg-free |
13.1 |
Africa |
The same group used a similar electrochemical technique and electrolyte on a single-step electrode pre-concentration treatment of pencil graphite electrode (PGE) modified with electrochemically reduced graphene oxide (ERGO)/mercury film (HgF) and DMG as a chelating agent, for quantification of Ni2+ in tap water and natural river water samples. At optimum conditions and over a narrower Ni2+ dynamic linear concentration range of 2–16 ppb, they realized a LOD and LOQ of 0.120 ± 0.002 ppb and 0.401 ± 0.007 ppb respectively.230 The fabricated ERGO-PG-HgFE was selective even with Co2+ interference and could detect Ni2+ in water samples far below the standard set by WHO for safe water, and higher sensitivity than the DMG-Hg-μPPEC.
Another literature report by the same group detailed the use of Nafion-graphene dimethylglyoxime modified GCE (NGr-DMG-GCE) (Fig. 22) to detect Ni2+ in the presence of Co2+ and Zn2+ using the same technique over a slightly broader Ni2+ linear concentration range of 2–20 ppb and obtained a LOD of 1.5 ppb.231 Under controlled spiking in a real water sample, the NGr-DMG-GCE promised good applicability in environmental monitoring of Ni2+ even in the presence of Zn2+ and Co2+.
|
| Fig. 22 Graphical abstract of the modification of NGr-DMG-GCE and application of SWCAdSV. This figure has been reproduced from ref. 231 with permission from MDPI, copyright 2017. | |
1.7 Cadmium and lead
Zheng and co-workers238 presented a very ingenious use of disposable sensors. They produced WEs based on Bi NPs and composited the nanoparticles with g-C3N4, and their sensitivities were compared. After 5 min of electrodeposition at −1.0 V on SPCEs, the deposition was performed by stripping analysis using SWASV over a potential range of −1.4–0.2 V, 15 Hz frequency, and 25 mV amplitude. Using Cd2+ and Pb2+ as reference metal cations for the study, over a linear range of concentrations from 30 to 120 ppb and 30 to 110 ppb, for Cd2+ and Pb2+ respectively in buffer solution, a linear response with regression relationship was realized and expressed as:
The LODs realized for the pairs ([Cd]; [Pb]) are (17.5 μg L−1; 8.1 μg L−1) and (21.8 μg L−1; 10.4 μg L−1) for the Bi-g-C3N4 (50:50 wt%) coated sensor and Bi-NPs coated sensor respectively. It is pellucid that the Bi-g-C3N4 (50:50 wt%) coated sensor rendered better sensitivity than the Bi-NPs coated sensor. Their tap water analysis for the functionalized sensors delivered very promising results.
Zheng and co-workers also used another innovative crafted printed paper-based ECS for low-cost point-of-need applications, a highly needed sensor platform for heavy metal monitoring in Africa. The results realized were comparable to that of commercial screen printed electrodes on SWASV using Pd2+ and Cd2+ as reference metals.209
1.7.1. Simultaneous detection.
1.7.1.1. Arsenic and selenium. Arotiba and co-workers239 described the use of the ASV strategy for simultaneous detection of As3+ and Se4+ in the water on an Au NPs modified GCE(Au NPs-GCE). The Au NPs also used as a substrate was electrodeposited on the surface of the GCE by cycling from −0.4 to 1.1 V. No details were presented on the physiochemical characterization of the modified electrode; however, the electrochemical characterization underscored a functional modification of the GCE with Au NPs via electrodeposition. After optimization of sensing parameters' conditions, namely, DP, pH, and choice of electrolytes, reproducible results were obtained, with a LOD of 0.15 and 0.22 ppb for As(III) and Se(IV) over a linear range from 0.01–0.12 ppm. The result of this simultaneous stripping of both was very comparable with other literature from researchers across the globe, based on even single detection. They reported minimal interferences from Cd2+ and Cu2+, making the electrode moderately selective. The real-life sample was comparable with that of standard ICP-OES, guaranteeing the electrode and the engaged strategy very promising in the simultaneous environmental monitoring of As3+ and Se4+.
1.7.1.2. Selenium and thallium. Siyamthanda and co-workers fabricated a fast, straightforward and electrochemically sensitive sensor using tin oxide nanoparticles @ multiwalled carbon nanotubes modified GCE for quantification of trace Hg(II) and Tl(I) using the SWASV technique. Under optimal conditions, the LOD and LOQ ranged from 0.9–1.2 ng L−1 and 3.3–4.0 ng L−1, over broad linear ranges of 0.004–400 ppb and 0.003–450 ppb, for Hg(II) and Tl(I) respectively. The GCE/SnO2/MWCNTs were used in the quantification of the target HMI thirteen surface water samples. The exactness of the results of the analysis generated using the engineered ECS compared well to those gotten using the ICP-MS.240
1.7.1.3. Cadmium, lead, and mercury sensing. Tonle and co-workers221 described the use of Na2CO3 activated Hordeum vulgare L. dust (HVW) to modify CPE to get HVW-Na2CO3/CPE for the sensitive detection of Hg2+, Pb2+, and Cd2+ ions. The modifying materials were characterized by SEM. Given prudently selected optimum conditions, 10 mg of HVW-Na2CO3 on CPE, 0.5 M HCl choice of stripping medium, electrolysis and pre-concentration time of the 60 s and 300 s respectively, DP of −1.0 V, pH accumulation medium of 6.5 using ASDPV. A linear response was realized for Cd2+, Pb2+, and Hg2+ over a concentration range of 0.200–1.200 μM, 0.0025–0.0206 μM, and 0.070–0.101 μM respectively, represented by the following regression relationship:
Ip (μA) = 4.607[Cd2+] (pM) − 0.28162 (R2 = 0.998) |
Ip (μA) = 174.625[Pb2+] (pM) + 0.59361 (R2 = 0.998) |
Ip (μA) = 97.049[Hg2+] (pM) − 6.27716 (R2 = 0.998) |
The LOD realized for Cd2+, Pb2+ and Hg2+ were 28.3 nM, 0.43 nM, and 3.3 nM which varied slightly from the results of individual detection of the metals. The sensitivity of this particular sensor as can be seen from the LODs is highest for Pb2+, then Hg2+, and finally Cd2+. The HVW-Na2CO3/CPE was found to be stable and selective at optimal concentrations of some interfering anions. The river and tap water analysis results validated any proposal of the applicability of the electrode in real environmental analysis.
1.7.1.4. Zinc, cadmium, lead, and copper sensing. Iwuoha and co-workers241 described the use of metallo-graphene nanocomposite (Fig. 23) and mercury film electrode for a very highly sensitive electrochemical detection of zinc, cadmium, lead, and copper in 0.1 M ABS (pH 4.6) using SWASV. Interestingly, they reported both the individual analysis of Zn2+, Cd2+, Pb2+, and Cu2+ and simultaneous detection of Zn2+, Cd2+, and Pb2+. Given optimal conditions, reproducible results were generated over a linear concentration range of 1–7 ppb for Zn2+, Cd2+, Pb2+, and 20–180 ppb for Cu2+ on individual analysis. The LODs and correlation coefficients realized on the Nafion-G HgFE were 0.07 ppb (R2 = 0.997), 0.08 ppb (R2 = 0.999), 0.07 ppb (R2 = 0.992) and 0.13 ppb (R2 = 0.985) for Zn2+, Cd2+, Pb2+ and Cu2+ respectively. The simultaneous detection of the same technique on the same electrode gave a LOD of 0.14 ppb, 0.13 ppb, and 0.07 ppb for Zn2+, Cd2+, and Pb2+. The comparison of the sensitivities of the metals in the individual and simultaneous analysis shows that the sensitivity was higher for the individual analysis for Cd2+ and Zn2+ but relatively the same for Pb2+.
|
| Fig. 23 (a) and (c) AFM topography image of graphene, (b) 3D representation of the selected area in (a) and (c), (d) line scan of the selected individual graphene. This figure has been reproduced from ref. 241 with permission from MDPI, copyright 2011. | |
The applicability of the electrode was evaluated using recovery studies for both the individual and simultaneous studies and compared with the standard ICP-MS method. The recovery results were comparable with the standard technique for all the other metals except for Zn2+. Real sample analysis was also done, and the authors believed the presence of organic compounds in the Edith Stephens Wetlands Park water sample could have affected the sensitivity of the Nafion-G HgFE. Nonetheless, Nafion-G HgFE was able to detect Zn2+, Cd2+, and Pb2+. The same group used SWASV to thoroughly investigate the individual and co-quantification of Zn2+, Cd2+, and Pb2+ in the water on Nafion-graphene nanocomposite in situ plated bismuth-film electrodes on pencil graphite substrate (NG-PG-BiE).242 After a careful optimization of the instrumental parameters as 0.1 M acetate buffer (pH 4.6) electrolyte choice, DT and potential of 120 s and −1.4 V, rotation speed, frequency, amplitude, and sweep rate of 1000 rpm, 50 Hz, 0.04 V, and 0.2975 V s−1 respectively, reproducible and stable results were obtained. Much like the previous work, the LOD for individual and simultaneous detection was compared over two concentration ranges of 2–20 ppb and 10–100 ppb (Fig. 24). The results of the comparisons also share similar sympathy. The limit of detection in sampled water was lower than the USEPA standard for drinking water using the functionalized electrode and the SWASV. The electrode and the employed technique can be confidently considered analytical significance in the environmental monitoring of trace HMs. However, since they used the same water samples, consequently their work did not show improvement in mitigating the impact of organic matters by using a voltametric approach in the quantification of HMs in water samples even though Nafion-G HgFE gave a lower limit of detection than NG-PG-BiE. Table 12, shows the comparison of their works with other literature reports.
|
| Fig. 24 SWASVs of (a) Pb2+, (b) Cd2+, (c) Zn2+, (d) Cu2+ and simultaneous detection of Pb2+, Cd2+ and Zn2+ in (e) 0.1 M acetate buffer (pH 4.6). This figure has been reproduced from ref. 242 with permission from ESG, copyright 2014. | |
Table 12 Comparing the LOD using voltametric detection of Cd2+, Pb2+ and Zn2+ in water samples of recent reports from various researchers
WE |
Metal |
Technique |
DT (s) |
LOD (μg L−1) |
Ref. |
Nafion-G BiFE |
Pb2+, Cd2+ |
DPASV |
300 |
Pb2+ = 0.02 |
243 |
Cd2+ = 0.02 |
BiF-PGE |
Pb2+, Cd2+, Zn2+ |
SWASV |
120 |
Pb2+ = 0.40 |
244 |
Cd2+ = 0.30 |
Zn2+ = 0.40 |
ERGO-PG-BiE |
Pb2+, Cd2+, Zn2+ |
SWASV |
120 |
Pb2+ = 0.12 |
242 |
Cd2+ = 0.09 |
Zn2+ = 0.19 |
NC(Bpy)BiFE |
Pb2+, Cd2+, Zn2+ |
SWASV |
120 |
Pb2+ = 0.08 |
245 |
Cd2+ = 0.12 |
Bi film C-paste |
Pb2+, Cd2+ |
SWASV |
120 |
Pb2+ = 0.80 |
246 |
Cd2+ = 1.00 |
Bi/GNFsNafion/GCE |
Pb2+, Cd2+ |
DPASV |
300 |
Pb2+ = 0.02 |
247 |
Cd2+ = 0.09 |
Bi-CNT/GCE |
Pb2+, Cd2+, Zn2+ |
SWASV |
300 |
Pb2+ = 1.30 |
248 |
Cd2+ = 0.70 |
Zn2+ = 12.0 |
Bi nanopowder on carbon |
Pb2+, Cd2+ |
SWASV |
180 |
Pb2+ = 0.15 |
249 |
Cd2+ = 0.07 |
NG-PG-BiE (simultaneous analysis) |
Pb2+, Cd2+, Zn2+ |
SWASV |
120 |
Pb2+ = 0.22 |
242 |
Cd2+ = 0.09 |
Zn2+ = 0.20 |
NG-PG-BiE (individual analysis) |
Pb2+, Cd2+, Zn2+ |
SWASV |
120 |
Pb2+ = 0.17 |
242 |
Cd2+ = 0.09 |
Zn2+ = 0.13 |
1.7.1.5. Arsenic, cadmium, mercury, and lead sensing. Perhaps the first in African literature to report a simultaneous detection of four metals was done by Nombona and co-workers.250 They described a simultaneous determination of arsenic, cadmium, mercury, and lead using DPASV on metallophthalocyanine and silica-coated iron oxide composites modified GCE (MPc/Si-NP). They employed two metallophthalocyanine of either cobalt or iron resulting in a design of two WE, namely cobalt-phthalocyanines and silica-coated iron oxide composites modified GCE (CoPc/Si-NPs-GCE) and iron-phthalocyanines and silica-coated iron oxide composites modified GCE (FePc/Si-NPs-GCE). Meanwhile, the synthesized Si NPs were characterized by TEM, XRD, XPS, and VSM. The following procedural conditions were followed, DP and time of −1.0 V and 180 s respectively, over a stripping potential window of −1.0 and 1.0 V, frequency, 25 Hz; amplitude, 20 mV; increment potential 5 mV and pH of 4.5 in acetate buffer or phosphate buffer solution. At optimum conditions, the LODs in ppb evaluated for individual detection of As3+, Cd2+, Hg2+ and Pb2+ on the two electrodes in this pair (CoPc/Si-NPs-GCE; FePc/Si-NPs-GCE) over a linear concentration range between 10 and 100 ppb were (4.39; 3.66 1), (14.62; 11.56), (4.890, 2.280) and (6.060; 4.540) respectively. FePc/Si-NPs-GCE has higher sensitivity towards all the metals. They also demonstrated the capability of the electrodes for simultaneous detection of the four toxic metals and compared their performance with other electrodes in the quantification of As3+, Cd2+, Hg2+, and Pb2+ (Table 13). The electrode could hence be employed in the environmental assessment of toxic HMs.
Table 13 Comparing the LOD using voltametric detection of As3+, Cd2+, Hg2+, and Pb2+ in water samples of recent reports from various researchersa
WE |
Technique |
Metal ion |
LOD (ppb) |
Sensitivity μA μg L−1 |
Ref. |
CRV crystal violet, DPV differential pulse voltammetry, NPG nanoporous gold, Cr chromium(III) oxide, QDs quantum dots, IIP ion-imprinted polymer, BRMCPE black rice, CPE carbon paste electrode, MWCNT multiwalled carbon nanotube, PSA potentiometric stripping analysis. |
CoPc/Si-NP-GCE |
DPASV |
As3+ |
4.39 |
0.18 |
251 |
FePc/Si-NP-GCE |
DPASV |
As3+ |
3.66 |
0.20 |
251 |
Nano Au-CRV film-GCE |
DPV |
As3+ |
15.58 |
0.8075 μA μM−1 cm2 |
163 |
NPG-AuE |
ASV |
As3+ |
1.499 |
13.0 nA μM−1 |
252 |
CoPc/Si-NP-GCE |
DPASV |
Cd2+ |
14.62 |
0.10 |
251 |
FePc/Si-NP-GCE |
DPASV |
Cd2+ |
11.56 |
0.15 |
251 |
Cr-CPE |
SWASV |
Cd2+ |
3.000 |
— |
253 |
SnO2 QDs-AuE |
CV |
Cd2+ |
500.0 |
77.5 × 102 nA ppm−1 cm−2 |
254 |
CoPc/Si-NP-GCE |
DPASV |
Hg2+ |
4.890 |
0.17 |
251 |
FePc/Si-NP-GCE |
DPASV |
Hg2+ |
2.280 |
0.37 |
251 |
Hg2+ IIP-CILE |
DPASV |
Hg2+ |
20.06 |
— |
255 |
MnPc-GCE |
SWASV |
Hg2+ |
401.2 |
1.45 A cm−2 M−1 |
256 |
CoPc/Si-NP-GCE |
DPASV |
Pb2+ |
6.060 |
|
251 |
FePc/Si-NP-GCE |
DPASV |
Pb2+ |
4.540 |
|
251 |
BRMCPE-CPE |
SWASV |
Pb2+ |
15.00 |
|
257 |
MWCNT-CPE |
PSA |
Pb2+ |
7.015 |
|
258 |
1.7.1.6. Platinum group metals (PGMs) sensing. The increase in the use of platinum group metals commonly called PGMs in catalysis coupled with rising mining activities of these metals has predisposed the surrounding aquatic environment to contamination. Examples of these metals include ruthenium, platinum, iridium, palladium, osmium, and rhodium. Consequently, Somerset and co-workers259 described the use of mercury-free sensor electrodes for the determination of PGMs in environmental samples. They employed bismuth film modified GCE (BiF-GCE) for the quantification of platinum, palladium, and rhodium on the AdCSV technique using dimethylglyoxime (DMG) as a complexing agent. Optimum experimental conditions including supporting electrolyte composition, the concentration of the complexing agent, DP, DT, and instrumental voltammetry parameters were carefully selected.Under this condition, the LOD for Pt2+, Pd2+, and Rh2+ was 0.12 ppb, 0.04 ppb, and 0.23 ppb, respectively, over a linear concentration range between 0 and 3.5 ppb. The electrode was found reproducible and applicable further underscored by the analysis of environmental water and sediment samples. Somerset and co-workers260 also described an investigation of the use of Bismuth film modified SPCE for AdDPSV analysis of PGMs in environmental samples too. The procedural conditions were carefully optimized, and palladium (Pd), platinum (Pt), and rhodium (Rh) were quantified. The linear responses obtained for Pd(II), Pt(II) and Rh(III) were in the concentration ranges of 0–0.1 ppb, 0.02–0.1 ppb, and 0–0.08 ppb respectively.
The LOD of the modified SPCE/BiF sensor and the employed technique, for Pd(II), Pt(II), and Rh(III) realized were 0.008 g L−1, 0.006 g L−1, and 0.005 g L−1. They also presented the simultaneous detection of the metals in pairs of Pd and Rh and Pt and Rh with the SPCE/BiF sensor in a 0.01 M ammonia buffer (pH = 9.2) solution over a concentration range of 0.01–0.1 g L−1. In each pair, the Rh counterpart had a less pronounced sensitivity towards the employed electrode. Worthy of note is their realization of a lower detection limit with SPCE/BiF sensor than previously used GCE/BiF sensor and identification of ammonia buffer (pH = 9.2) solution as a better electrolyte for the SPCE/BiF sensor than acetate buffer (pH = 4.8) solution. Ultimately, the performance of the SPCE/BiF sensor presents a better promising analytical performance, in environmental monitoring of the investigated PGMs.
Progressively and interestingly, the same group investigated the use of reduced graphene oxide-antimony nanofilm (GCE/rGO-SbNPs) sensors for simultaneous determination of PGMs.261 The determination was done in pairs of Pt2+ and Rh2+ and Pd2+ and Rh2+ using AdDPCSV strategy in supporting electrolyte of 0.2 M NaOAc buffer (pH = 5.2) solution. The one pair of Pd2+ and Rh2+ resulted in a linear response over a concentration range of 0.24–0.36 ng L−1 for the two cations, with regression coefficient values of 0.981 and 0.991, respectively. And the other pair of Pt2+ and Rh2+ resulted in a linear response over a concentration range of 0–0.40 ng L−1 and 0–0.56 ng L −1 with regression coefficient values of 0.987 and 0.988, respectively. A detection limit of 0.46 ng L −1 and 0.55 ng L−1 was calculated for the pair of Pd2+ and Rh2+ while LOD of approximately 0.52 ng L−1 and 0.48 ng L−1 was estimated for the other pair of Pt2+ and Rh2+.
The same group also employed rGO impregnated antimony nanoparticle modified GCE sensor for electrochemical evaluation of the PGMs262 and achieved sharp stripping peaks and a comparatively constant peak potential with a good linear response in the range of concentration examined from 0.040–0.400 ng L−1 for all metal ions studied. The LOD realized were 0.49, 0.49, and 0.45 pg L−1 (S/N = 3) for Pt(II), Rh(III), and Pd(II), respectively. The fabricated ECS demonstrated also good stability with an RSD of 2.67%, 4.2%, and 2.55% for 5 consecutive measurements for Rh(III), Pd(II), and Pt(II), respectively. The fabricated nanostructure exhibited efficiency in ECS application as underscored by its sensitivity and stability.
Other, works by the same group263 described the use of AdDPSV on Bi-Ag NPs modified GCE for detection of Pt in a 10 mL of 0.2 M ABS (pH = 4.7) containing 1 × 10−5 M dimethylglyoxime, over a DP and potential window of −900 mV and 300 mV to 100 mV (versus Ag/AgCl) respectively, and accumulation time of 90 s for Pt2+, and the solution stirred at 100 rev/min. They realized a linear response over a Pt2+ concentration range of 0.2–1 ng L−1 represented by the expression I (μA) = 5.907[Pt2+] + 1.048 (R2 = 0.970) and LOD of 0.2 ng L−1. The developed sensor was, hence, highly sensitive and selective, simple and low cost, very appropriate for environmental applications in Africa. It also showed improved electrocatalytic performance when compared with the performance of their individual counterparts of either Bi-GCE or Bi-SPCE.
Using the same AdDPCSV on GCE-rGO-Sb NPs, and DMG as chelating agent over a broader concentration range of 40–400 pg L−1, in 0.2 M NaOAc buffer solution (pH = 5.2), the same group got a lower detection limit of 0.45 pg L−1, 0.49 pg L−1 and 0.49 pg L−1 Pd2+, Pt2+ and Rh3+ respectively. The fabricated electrode was stable, though found to be prone to interferences from some metal ions despite the technique employed. The stripping analysis of Pd2+ was affected by the presence of Co2+, Fe2+, and Na+, that of Pt2+ by Cu2+, Na+ and SO42− and Rh3+ by Fe3+. However, the recovery after the spiking of the PGMs in real water sample analysis underscored the applicability of the sensor and the employed technique in the field of environmental monitoring.
1.7.2. Other works. One of the most comprehensive and earliest works on the voltametric analysis of trace HMs in water samples was done by Woldemichael and co-workers.264 They described a solar UV-treatment of water samples to eliminate organic matters that may undermine the sensitivity of the stripping-voltametric technique of trace heavy metal assessment in Awash River, Ethiopia.The UV-pre-treatment was optimized to undertake total degradation of dissolved organic matter that could affect the voltametric approach through the formation of complexing metal ions and surfactant properties interferences. Subsequently, on hanging drop mercury electrode(HMDE), using generally DPSV, and specifically DPASV for Zn(II), Cd(II), Pb(II), Cu(II), and DPAdSV for Ni(II), Co(II) and U(VI) from five different collection site, they successfully obtained the level of contamination of each heavy metal ion in the Awash River water samples.
Mbui and coworkers265 reported also the use of bare and Kenyan bentonite modified polished graphite carbon electrodes for possible detection of copper, zinc, cobalt, iron, and nickel in the water sample. They leveraged the capacity of the bentonite to absorb the heavy metal, which is equivalent to preconcentration. Using 0.1 M H2SO4 as a supporting electrolyte, they established a calibration curve from 10 to 50 mg L−1 of each of the metal solutions to be considered, for both the bare and modified electrode and realized a pronounced modification of the graphite carbon electrode.
Somerset and co-workers266 also described the amperometric quantification individually, of mercury, lead, and cadmium, metal ions using a novel polymer immobilized horseradish peroxidase (HRP) biosensor platform. They assembled this unique enzyme polymeric biosensor electrode made up of poly (aniline-co-2,2′-dithiodianiline) [PANI-co-PDTDA] and horseradish peroxidase (HRP) on a platinum disc WE. The resultant biosensor designated Pt/PANI-co-PDTDA/HRP working on the principle of inhibition in relation to the concentration of the toxic metals was evaluated for its sensitivity, selectivity, reproducibility, and inhibition kinetics in buffer solution and real-life sample in optimum conditions. Using DPCSV, over a linear concentration range of 0–1 × 10−2 μg L−1, 0–1 μg L−1, 0–1 μg L−1 for Cd2+, Pb2+, Hg2+, Pt/PANI-co-PDTDA/HRP they obtained a LOD (in ppm) and LOQ (in ppm) of 8.01 × 10−4 and 2.67 × 10−3 (R2 = 0.993), 9.38 × 10−4 and 3.13 × 10−3 (0.949) and 7.89 × 10−4 and 2.63 × 10−3 (0.982) for Cd2+, Pb2+, Hg2+ respectively.
The LOD and LOQ derived to indicate the good sensitivity of the biosensor. The inhibition performance was also extensively compared with a parallel conventional Pt/PANI/HPR biosensor to possibly underscore the exceptional performance of the Pt/PANI-co-PDTDA/HRP. Reproducible and better inhibition was obtained with the Pt/PANI-co-PDTDA/HRP biosensor than with the conventional Pt/PANI/HPR biosensor. They concluded with a real sample analysis of tap and river water and realized very satisfactory recoveries in the range of 96–132%. The detection limit realized for all the metals was amply less than the standard for safe water by WHO. Hence, the developed biosensor in their study could be applied to monitor the presence of any of these metals in environmental water samples.188
Somerset and co-workers187 optimized CPEs as “mercury-free” ECSs in the quantification of Hg2+, Pb2+, Ni2+, and Cd2+ in aqueous solutions. To amplify the selectivity of the CPEs towards the target metals, they impregnated them with electroactive compounds which have preferential reactivity towards metal ions. Procedural conditions were optimized at the CPEs with −0.4 V and 120 s deposited potential and time respectively found adequate for the quantification using the employed technique (DPASV) and WEs. Over a concentration range between 1 × 10−9 M and 1 × 10−6 M, they realized a simultaneous detection limit on the various CPEs as summarized in Table 14. The electrode demonstrated sensitivity to the simultaneous detection of the target metals but with quite high LODs while Table 15 shows the electrochemical detection of HMIs in water using diverse techniques as employed by various indigenous electrochemists.
Table 14 The detection limit at the different CPEs using DPASV
LOD (μM) |
Hg2+ |
Pb2+ |
Ni2+ |
Cd2+ |
CPE/PANI-PDTDA |
0.13 |
0.17 |
0.32 |
0.29 |
CPE/PANI |
15.0 |
1.3 |
0.97 |
0.86 |
CPE/MBT |
38 |
63 |
1.0 |
1.4 |
Table 15 Electrochemical detection of HMIs in water using diverse techniques as employed by various indigenous electrochemists
Electrode |
Modifier |
Metal detected |
Technique |
Linear range (ppb) |
Electrolyte |
DT (s) |
Detection method |
LOD (ppb) |
Ref. |
SPCE |
CB-AuNPs-Apt |
Cd2+ |
SWV |
1–50 |
10 mM PBS, pH = 7.45 |
— |
Individual |
0.14 |
169 |
BiE |
NG-PG |
Zn2+ |
SWASV |
2–20 |
0.1 M ABS pH = 4.6 |
120 |
Individual |
0.167 |
242 |
Cd2+ |
0.151 |
Pb2+ |
0.125 |
BiE |
NG-PG |
Zn2+ |
SWASV |
2–20 |
120 |
Simultaneous |
0.257 |
242 |
Cd2+ |
0.098 |
Pb2+ |
0.204 |
BiE |
NG-PG |
Zn2+ |
SWASV |
10–100 |
120 |
Individual |
0.168 |
242 |
Cd2+ |
0.098 |
Pb2+ |
0.141 |
BiE |
NG-PG |
Zn2+ |
SWASV |
10–100 |
120 |
Simultaneous |
0.224 |
242 |
Cd2+ |
0.099 |
Pb2+ |
0.177 |
HgFE |
Nafion-G |
Pb2+ |
SWASV |
1–7 |
120 |
Individual |
0.07 |
267 |
Cd2+ |
0.08 |
Zn2+ |
0.07 |
Cu2+ |
20–180 |
0.13 |
Pb2+ |
0.5–5.0 |
Simultaneous |
0.07 |
Cd2+ |
0.13 |
Zn2+ |
0.14 |
GCE |
Bi-Ag F |
Pt2+ |
DPAdSV |
0.2–1 ng L−1 |
0.2 ABS pH = 4.7 |
90 |
Individual |
0.2 |
268 |
SPCE |
DMG-Hg-μPPEC |
Ni2+ |
SWAdCSV |
15–90 |
0.1 M NH3/NH4Cl buffer pH = 9.4 |
90 |
Individual |
6.27 |
222 |
DMG-Hg-free-μPPEC |
13.1 |
PGE |
ERGO-HgFE |
Ni2+ |
SWAdCSV |
2–16 |
0.1 M NH3/NH4Cl buffer pH = 9.4 |
90 |
Individual |
0.120 |
230 |
GCE |
NGr-DMG |
Ni2+ |
SWAdCSV |
2–20 |
0.1 M NH3/NH4Cl buffer pH = 9.3 |
|
Individual |
1.5 |
231 |
GCE |
BiF |
Pt2+ |
DPAdSV |
0–3.5 |
0.2 ABS pH = 4.7 |
90 |
Individual |
0.2 |
269 |
SPCE |
Bi F |
Pt2+ |
DPAdSV |
0.02–0.1 ng L−1 |
0.2 ABS pH = 4.7 |
90 |
Individual |
0.006 |
260 |
EGE |
Bi |
Pb2+ |
SWASV |
5.0–250 |
0.1 M ABS pH = 5 |
120 |
Individual |
0.83 |
121 |
Hg2+ |
5.0–200 |
0.46 |
Pb2+ |
1.0–250 |
Simultaneous |
0.053 |
As3+ |
0.014 |
Hg2+ |
0.081 |
AuE |
DMAET-(SWCNT-PABS) |
Hg2+ |
SWASV |
20–250 |
0.1 M HCl pH = 3 |
30 |
Individual |
0.06 μM |
125 |
GCE |
CNPs/AuNPs-Apt |
As3+ |
SWASV |
0.5–100 |
0.1 mM [Ru(NH3)6]3+ in 10 mM PBS pH = 7.2 |
— |
Individual |
0.092 |
139 |
GCE |
rGO |
Se4+ |
SWASV |
0.01–50 mg L−1 |
0.1 M HNO3 pH = 1 |
240 |
Individual |
0.85 |
270 |
EGE |
Co NPs-rGO |
As3+ |
SWASV |
1–50 |
HCl pH = 1 |
90 |
Individual |
0.31 |
126 |
GCE |
NG |
Se4+ |
SWASV |
1–120 |
0.1 M HClO4 |
50 |
Individual |
0.092 |
225 |
EGE |
Bi |
As3+ |
SWASV |
20–100 |
0.1 M HNO3 pH = 6 |
180 |
Individual |
5 |
127 |
CPE |
SDS-PKC |
Pb2+ |
SWASV |
1–100 |
0.1 M HNO3 |
30 |
Individual |
2.48 |
123 |
FePc/Si-NP |
As3+ |
10–100 |
pH = 4.0 |
3.66 |
Cd2+ |
20–100 |
pH = 4.0 |
11.56 |
Hg2+ |
10–100 |
pH = 4.5 |
2.280 |
GCE |
CoPc/Si-NP |
Pb2+ |
DPASV |
10–100 |
pH = 5.5 |
180 |
Individual |
4.540 |
250 |
As3+ |
10–100 |
pH = 4.0 |
4.39 |
Cd2+ |
20–100 |
pH = 4.0 |
14.62 |
Hg2+ |
10–100 |
pH = 4.5 |
4.890 |
Pb2+ |
10–100 |
pH = 5.0 |
6.060 |
EGE |
CoO NPs |
Cu2+ |
SWASV |
0.1–20 mg L−1 |
0.1 M HNO3 |
300 |
Individual |
94 |
124 |
GCE |
Au NPs |
As3+ |
SWASV |
0.01–50 ppm |
0.1 M H2SO4 pH = 1 |
60 |
Individual |
0.28 |
143 |
EGE |
Au NPs |
As3+ |
SWASV |
1–50 |
1.0 M HNO3 pH = 1 |
180 |
Individual |
0.58 |
271 |
EGE |
PPI |
Pb2+ |
SWASV |
2.5–40 |
0.1 M KCl |
180 |
Individual |
1 |
272 |
GCE |
Au NPs |
Se4+ |
SWASV |
0.001–50 mg L−1 |
0.1 M H2SO4 pH = 1 |
60 |
Individual |
0.64 |
224 |
GCE |
Au NPs |
As3+ |
SWASV |
0.01–12 ppm |
0.1 M H2SO4 pH = 1 |
30 |
Simultaneous |
0.15 |
239 |
Se4+ |
0.22 |
CPE |
HVW-Na2CO3 |
Cd2+ |
ASDPV |
10–85 nM |
0.5 M HCl pH = 6.5 |
60 |
Individual |
1.82 nM |
273 |
Pb2+ |
0.2–14 nM |
0.0696 nM |
Hg2+ |
1–11.5 nM |
0.237 nM |
Cd2+ |
200–1200 nM |
Simultaneous |
28.3 n M |
Pb2+ |
2.5–20.6 nM |
0.43 nM |
Hg2+ |
70–101 nM |
3.3 nM |
CPE |
Ba-SH |
Hg2+ |
ASDPV |
0.1 to 0.7 μM |
0.1 M HNO3 pH = 2 |
60 |
Individual |
87 nM |
170 |
Ba-NH2 |
67 nM |
GCE |
Sa(CTA0.25,T) |
Pb2+ |
SWV |
10–100 nM |
0.1 M HCl pH = 3.5 |
60 |
Individual |
0.029 nM |
206 |
GCE |
Amino-AT |
Pb2+ |
ASDPV |
4–40 pM |
HCl pH = 1 |
40 |
Individual |
0.88 pM |
274 |
HMDE |
— |
Zn2+ |
DPASV |
— |
0.05 M ABS + 0.1 M KCl pH 4.6 |
120 |
Individual |
441 |
264 |
CPCE |
|
Pb2+ |
|
10–110 |
|
|
|
20.4 |
|
Cd2+ |
10–110 |
52.8 |
CPE |
K-SiPSH |
Pb2+ |
ASSWV |
0.3–10 μM |
0.4 M HClO4 |
240 |
Individual |
60 nM |
275 |
GCE |
HRP/MT-MWCNT |
Zn2+ |
— |
0.35–12 mg L−1 |
0.1 M PBS pH = 7.0 |
— |
Individual |
7.5 |
226 |
GCE |
SnO2-MWC |
Hg2+ |
SWASV |
0.004–400 |
0.10 M ABS pH = 4.5 |
180 |
|
0.0012 |
240 |
NTs |
Ni2+ |
DPAdSV |
Ammonia buffer + DMG pH = 9.5 |
120 |
Simultaneous |
20.44 |
Co2+ |
DPAdSV |
120 |
0.57 |
U4+ |
DPAdSV |
Chloranilic acid pH = 2 |
30 |
1.41 |
SPCE |
BiF |
Pd2+ |
AdDPSV |
0–0.1 |
0.01 M |
150 |
Individual |
0.008 |
268 |
Pt2+ |
0.02–0.1 |
Ammonium buffer (pH = 9.2) |
0.006 |
Rh2+ |
0–0.08 |
0.005 |
GCE |
GO-SbNPs |
Pd2+ |
AdDPCSV |
40–400 pg L−1 |
0.2 M NaOAc pH = 5.2 |
120 |
Individual |
0.45 |
276 |
Pt2+ |
0–260 pg L−1 |
0.49 |
Rh2+ |
40–400 pg L−1 |
0.49 |
PtE |
PANI-HRP |
Cd2+ |
DPSV/amperometry |
4.76–55.3 |
0.1 M PBS pH = 7.02 |
— |
Individual |
0.091 |
227 |
Pb2+ |
4.76–40.5 |
0.033 |
Cu2+ |
2.38–52.8 |
0.100 |
PCGE |
Bentonite clay |
Cu2+ |
CV |
10–50 mg L−1 |
0.1 M H2SO4 |
— |
Individual |
— |
265 |
Zn2+ |
— |
Ni2+ |
— |
Fe3+ |
— |
Co2+ |
— |
CPE |
Pd-NP |
Hg2+ |
DPASV |
0.5–50 μM |
0.1 M HCl pH = 1.36 |
30 |
Individual |
49.9 nM L−1 |
184 |
PPCE |
Bi-OLC NPs ink |
Pb2+ |
SWASV |
0–10 ppm |
ABS pH = 5 |
300 |
Individual |
0.3 ppm |
209 |
GCE |
HRP/MTMWCNT |
Cd2+ |
LSV/amperometry |
2–30 |
0.1 M PBS pH = 7.0 |
— |
Individual |
0.51 |
120 |
SPCE |
Bi/g-C3N4 |
Pb2+ |
SWASV |
30–110 |
0.1 M ABS pH = 5 |
300 |
Individual |
8.1 |
238 |
Cd2+ |
30–120 |
Individual |
17.5 |
DSSPCE |
|
Pb2+ |
SWASV |
30–90 ppb |
Buffer solution |
300 |
Individual |
20 |
277 |
2. Conclusions and implications
• This work examined the various advances made by African indigenous electrochemists in the use of diverse electrochemical techniques in the environmental monitoring of HMs contamination in African waters.
• Various electrochemical techniques such as SWV, LSV, DPV, and amperometry over a broad range of electrodes and modifiers were used to construct very sensitive chemical sensors and biosensors over 15 years (2005–2020) (Table 15).
• From the earliest work by Tonlé and co-workers in 2005 to the most recent, diverse WEs/sensors (including point of care paper electrodes) and techniques have been successfully used to detect target heavy metal analytes in both buffer solutions and real samples with detection limits often far less than the standards set by WHO, and other environmental protection agencies for safe drinking, domestic, and river waters.
• In most cases, the techniques were simple, the electrodes were inexpensive and often featured point-of-care analysis aspects. The working electrodes were often modified with natural clays or enzymes extracted from native plants.
• Profound has been the results generated from these elaborate works; however, it must be noted that like our conventional sensing techniques, most of these works still live within the laboratory walls.
• Additionally, the presence of interferences from other metal ions and organic materials in some samples, such as wastewater and river water still affected the applicability of the sensors in real water analysis.
• The choice of electrodes, chelating, adhesive, and modifying materials may mean an additional bias in the ecosystem, as some of them are toxic too. If we have to pollute the environment to eliminate a pollutant, we still have more work to be done.
• The introduction of nanomaterials to electrochemical techniques also resulted in quick response time, high sensitivity, reproducibility, simultaneous detection with a very low limit of detection, and quantification, in online assessment due to the large surface area to volume ratio, high catalytic activity, and strong adsorption capacity of nanomaterials.
• The route to the synthesis of the nanoparticles is often not green. Not a single report of green synthesis of the nanoparticles used in the modification of the electrodes, from either plant extract or microbes.
• Bringing out the sensors from the laboratory walls to real commercial-scale applications in environmental monitoring of these HMs, with environmentally benign and low-cost chelating, electrode surface adhesive, and modifying materials, remain areas of great research interests.
Conflicts of interest
There are no conflicts to declare.
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