Ivan Andjelkovicab,
Sara Azaria,
Mason Erkelensa,
Peter Forwardc,
Martin F. Lambert*d and
Dusan Losic*a
aSchool of Chemical Engineering, University of Adelaide, Adelaide, SA 5005, Australia. E-mail: dusan.losic@adelaide.edu.au
bInnovation Center of the Faculty of Chemistry, University of Belgrade, Studentski Trg 12-16, Belgrade, Serbia
cSA Water, South Australia 5005, Australia
dSchool of Civil, Environmental and Mining Engineering, University of Adelaide, Adelaide, SA 5005, Australia. E-mail: martin.lambert@adelaiude.edu.au
First published on 16th January 2017
Biofilm, generated by the bacteria in the groundwater pumping system pipelines of the Salt Interception Scheme on the River Murray in South Australia is discarded as a waste material accumulated after periodic cleaning of the pipes. Structural and chemical composition characterizations confirm that this waste material is composed of amorphous twisted iron-oxide nanowires (ION), generated by bacteria, and they have a unique structure and properties. The adsorption performance of these iron-oxide nanowires for arsenic removal from water was evaluated to define their adsorption capacity for As(III) and As(V) and kinetics. Obtained results demonstrate considerable adsorption properties of this waste biological material and suggest its promising application as a new and low-cost adsorbent for water treatment.
Until now many water treatment technologies including reverse osmosis, chemical coagulation, filtration, and adsorptions have been explored and practically implemented for arsenic removal in different areas of the world. Among them the adsorption processes using adsorbents because of their easy to setup, low-costs and potentially lower chemical and energy requirements as well less environmental impacts are regarded as the most attractive. Many adsorbents based on synthetic oxides including synthetic birnessite,10 nanocrystalline TiO2,11 iron-oxide nanoparticles and nanosheets,12–14 activated alumina,15 ZrO2 and NiO nanopowders12 and CuO nanoparticles16 have been explored in past 20–30 years. All mentioned adsorbents have various limitations regarding their application in removal of arsenic such as: low adsorption capacity, narrow range of optimal pH for effective removal, selectivity of adsorption for some arsenic species, necessity of removal of competing ions from source water (e.g. phosphate, silicate, sulphate), scalability and sustainability of their production. Composite materials that contain metal oxides, such as graphene–Fe3O4 nanocomposite,17,18 laterite–polyacrylonitrile and aluminium oxyhydroxide-poly[(4-vinylbenzyl)trimethylammonium chloride]19 were explored to address some of these limitations. The unavailability of technology for their synthesis coupled with high cost of these composites limits their broad use in developing countries especially and highly populated regions with high As pollution of underground water. To address these limitations the development of new and low-cost adsorbents is required where natural materials are recognized as the best choice.
Iron minerals are one of the most examined natural materials for arsenic adsorption because of their availability and high affinity towards arsenic.2,20 One example of is iron-oxide coated sand which a low cost but showed to have poor adsorption capacity for removal of As(III) and As(V) species mainly due low surface area.21 In recent years, continuous efforts have been made on the preparation of the three-dimensional hierarchically nanostructured materials, based on iron oxides, which shows enhanced properties compared to their bulk counterparts, like 3D flower like α-Fe2O3, chestnut like γ-Fe2O3 and urchin like α-FeOOH.22–24 Even though the cost of starting material is very low, heat treatment is used in preparation of material, increasing the price of adsorbent and giving adsorption capacity way below that achieved with other synthetic adsorbents. Recently, iron mineral samples, goethite, magnetite, hematite and laterite were used as simple, affordable and readily available materials for household removal of arsenic from drinking water.25 The showed good performance to remove As(V) from water using very high adsorbent dosages which creates the problem of a large waste for disposal. However, there are some problems with these methods because of their scalability, high-cost, sustainability and large environmental footprints as they use toxic materials and lead to the generation of toxic chemical waste.
In this paper we present for the first time the application of waste bacteria biofilm as new adsorbent for As removal from water. It is well known that some living organisms such bacteria and fungi have acquired the ability to produce biogenic metallic and metal oxide nanostructures with intricate designs and precisely controlled morphologies and dimensions. One examples are creation of long and helical iron(II) encrusted nanowires are produced by the zetaproteobacteria, Mariprofundus ferrooxydans in an iron abundant environment.26–28 Recently, we discovered that the bacterial biofilm that clog the pipelines and pumps of the Salt Interception Scheme (SIS) in South Australia is composed of these unique iron-oxide nanowires. This biofilm is a huge problem to maintain in this 28 km long pipeline system and requires continues labor intensive and costly removal and cleaning. During last 10 years significant deposits (hundreds of tonnes) of this waste materials are stored as waste in surrounding environment. In our recent work we found this iron-oxide nanowires have photocatalytic and magnetic properties and demonstrate their applications for photocatalytic degradation of organic pollutants and drug delivery with hypothermia based treatment of cancer.29,30 The aim of this work is to investigate the adsorption properties of this material available in large quantities as biofilm waste as an adsorbent for removal of arsenic from drinking or environmental water. The properties including adsorption capacity, absorbance kinetics, pH dependence and influence of interference of other ions were determined. Obtained results indicate that this waste material can be successfully applied as an efficient and low cost adsorbent to address many environmental problems including removing heavy metals, phosphates and organic compounds from contaminated waters and used for soil remediation.
Fourier transform infrared (FTIR) spectroscopy (Spectrum 100, Perkin Elmer, USA) was used to identify the functional groups of the iron-oxide nanowires samples before and after adsorption of arsenic species, in the range of 550–3050 cm−1 in transmission mode. The X-ray diffraction (XRD, Miniflex 600, Rigaku, Japan) measurement was performed from 2θ = 20–80° to illuminate the composition of the iron oxide nanowires at a scan rate of 5° min−1. The specific surface area (SSA) of the iron nanowires was determined using the BET surface area analysis (Belsorp, Japan). The zeta potential of the wires was measured with a Malvern Zetasizer (Nanoseries, Australia) as a function of pH. The pH of the mixture was adjusted with either HCl or NaOH from 3 to 10. The measurements were performed in triplicate and data are presented as an average.
For kinetic experiments, 10 mg L−1 arsenic solutions with initial pH 7, were mixed for 5, 10, 15, 20, 30, 45, 60, 90 and 120 minutes. After the end of specified contact time the suspensions were immediately filtered through 0.22 μm Teflon filter and arsenic concentrations were measured with ICP-MS (7500 cs Agilent Technologies, USA).
The effect of pH on arsenic adsorption was examined in pH range 3–10. Initial pH of 10 mg L−1 arsenic solution was adjusted using diluted hydrochloric acid or sodium hydroxide solution. After the addition of sorbent solutions were mixed for 120 minutes and suspensions were immediately filtered through 0.22 μm Teflon filter and the filtrates were analysed. Isotherm studies were carried out at initial pH 3 and 9 for As(V) and As(III), respectively. Experiments were performed by mixing different concentrations of As(V) and As(III) with constant dose of adsorbent (0.4 g L−1) for 120 minutes. The concentrations of arsenic were in the range of 10 to 50 mg L−1.
In order to investigate influence of co-existing ions on the removal of arsenic, batch experiments with the presence of PO43−, SO42−, NO3− or HCO3− in the concentration range from 0.1 to 10 mM, were done. Dosage of the sorbent was 0.4/L, initial concentration of arsenic was 5 mg L−1 and pH was adjusted to 7 with the addition of HCl or NaOH solutions. Suspensions were shaken for 120 min at the room temperature and after filtration arsenic in solution was measured with ICP-MS.
Fig. 1 (a) photo of the inside of a the pipe with the formed bacterial film with (b) cleaning process of biofilm and (c) SEM image of raw bacterial material from the biofilm (scale bar 50 μm). |
Typical length of nanowires is from 10–30 microns long and diameter of 100–130 nm with helical and coiled morphology where 4–6 or more wires are bundled together (Fig. 2c and d).
The mechanism of iron oxide nanowire formation in bacteria biofilms is still not fully understand. Several iron-oxidising bacteria species has reported to have capability to produce iron-oxide nanowires including Mariprofundus ferrooxydans which is found in the biofilm used in this work.26–28 M. ferrooxydans is a chemolithoautotrophic bacteria that utilises the presence of iron in water solution to produce energy through the oxidation of Fe2+ to Fe3+.
Firstly M. ferrooxydans locates an ideal location suitable for Fe(II) oxidation, once the location has been found M. ferrooxydan will attach to the surface and start to produce a stalk as it oxidises iron for the production of energy. During this process the cell will also start dividing, due to this process the stalks become bifurcated and each cell will continue to form individual stalks. When the environment is not ideal for Fe2+ oxidation the cell will detach from the stalk and from a flagellum to locate another ideal location for Fe2+ oxidation.26–28 We analysed the genetics of fresh biofilm taken from pipes using 16 s rRNA gene sequence to determine the bacterial community structure. It was found a total of 21476 sequences with an average sequence length of 446 bp, a total of 80 OTU's were detected composed of large numbers of different bacteria mostly by Proteobacteria (96.78%), the rest of the bacterial community was formed by Actinobacteria, Bacteroidetes, Chlorobi, Chloroflexi, Firmicutes, Gemmatimonadetes, Nitrospirae, Planctomycetes and WS3. Mariprofundus sp. an iron oxidizing bacteria that formed 0.01% of the bacterial community is found within the iron nanowire biofilm.
The EDX analysis of purified materials confirms that this material consists mostly from iron and oxygen with traces amounts of carbon, silicon, calcium and phosphorus (Fig. S1†). The absence of peaks in XRD spectra of a purified iron-oxide nanowires shows that our material doesn't have crystal structure and represents pattern typical for amorphous structure (Fig. S2†).
Iron-oxide minerals initially formed in natural waters are usually poorly crystalline and have high surface area which benefits adsorption of arsenic. Although these minerals, over time, depending on the temperature, pH and other present species, undergo transformations to more crystalline forms these transformations doesn't result in desorption of arsenic.31 BET adsorption measurements gave specific surface area of iron-oxide nanowires of 180 m2 g−1 with the isotherm that can be classified as type I according to IUPAC classification32 (Fig. S3†). This suggests that most of the surface area of iron-oxide nanowires lies within microporous materials.33
Fig. 3 Kinetic of adsorption of As(III) and As(V) on iron-oxide nanowires (initial arsenic concentration 10 mg L−1, pH = 7, dosage of iron-oxide nanowires adsorbent was 0.4 g L−1). |
Pseudo-first (eqn (1)), pseudo-second (eqn (2)) and Elovich (eqn (3)) kinetic models were further used in order to understand kinetics characteristics.33–35
(1) |
(2) |
Qt = βln(αβ) + βlnt | (3) |
Pseudo-first-order | Pseudo-second-order | Elovich model | ||||
---|---|---|---|---|---|---|
k1 | Qe | k2 | Qe | α | β | |
R2 | R2 | R2 | ||||
As(III) | 0.037 | 2.64 | 0.027 | 5.24 | 8.482 | 0.767 |
0.963 | 0.999 | 0.977 | ||||
As(V) | 0.030 | 4.14 | 0.011 | 6.64 | 0.862 | 1.264 |
0.971 | 0.995 | 0.977 |
While pseudo-first-order model is suitable for the description of the first 20 to 30 min of reaction,34 Elovich model, as an empirical model, suggests that the sorption may be controlled by multiple interaction mechanisms or processes.35 If the fractional surface coverage is lower than around 0.7, Rudzinski and Plazinski quantitatively proved that both, Elovich and pseudo-second order model exhibit essentially identical behavior.36 The pseudo-second-order model fitted better based on the values of the regression coefficients (R2). As a further confirmation of agreement of the model with experimental data, indicated with good agreement between the experimentally obtained Qe values (4.99 and 6.05 mg g−1 for As(III) and As(V), respectively) and Qe values calculated from the pseudo-second-order model (5.24 and 6.64 mg g−1 for As(III) and As(V), respectively), we can conclude that the overall reaction kinetics for both As(III) and As(V) were best described with pseudo-second-order model.
Fig. 4 Removal of As(III) and As(V) in the pH range of 3–10. Initial arsenic concentration 10 mg L−1, dosage of iron-oxide nanowires adsorbent was 0.4 g L−1. |
Maximum of adsorption of As(V) was at pH 3 and with increasing pH we can see sharp decrease of removal efficiency until pH 6. With further increase of pH from 6 to 10 slight decrease of adsorption capability could be noticed. Opposite to As(V), the lowest removal of As(III) was achieved at pH 3. With increase of pH from 3 to 6 nearly 50% increase of adsorption capacity was obtained. As pH is further increased from 6 to 10 small increase of As(III) removal was achieved.
A possible explanation for the difference in behavior of As(III) and As(V) in the pH range from 3 to 6 may be different speciation of As(III) and As(V) species in this pH range. With the increase of the pH from 3 to 6 positive charge density of adsorbent surface decreases. This causes decrease of electrostatic attraction between the negative As(V) species and decreasing positive surface charge of the sorbent. In the case of As(III) in the same pH range comes to decrease of electrostatic repulsion between positive surface charge of adsorbent surface (pHIEP = 6.4) and Hδ+ center of groups OH in As(OH)3 (pKa1 = 9.2) which could be responsible for increase of As(III) adsorption in this pH range.38
No noticeable change in the removal capacity of both arsenic species with increase of pH from 6 to 10 indicates that removal of arsenic is not governed just with electrostatic forces but could include ligand interchange between arsenic and iron-oxide nanowires.
Qe = KfC1/n | (4) |
The Langmuir isotherm model can be described by the eqn (5).
(5) |
The applicability of Freundlich and Langmuir models was assessed through the correlation coefficient R2 (Fig. S8 and S9†). The parameters obtained fitting experimental data are presented in Table 2. Although for As(III) both isotherm models describe experimental data very well, slightly better regression coefficient was achieved using Freundlich than Langmuir model. Monolayer adsorption capacity of iron-oxide nanowires for As(III), obtained from the Langmuir model, was 104.5 mg g−1 which is amongst highest result obtained for waste material. As for As(V), adsorption data were much better fitted with Freundlich model rather than Langmuir model.
Freundlich isotherm model | Langmuir isotherm model | |||||
---|---|---|---|---|---|---|
Kf | n | R2 | Q0 | KL | R2 | |
As(III) | 4.11 | 1.42 | 0.9855 | 104.53 | 0.03 | 0.9833 |
As(V) | 24.93 | 4.02 | 0.9558 | 48.06 | 1.93 | 0.7573 |
The fact that Langmuir model best describes adsorption onto homogeneous surface and Freundlich model adsorption onto heterogeneous surface sites indicates that iron-oxide nanowires have active surface sites with different affinity towards As(III) and As(V) species which results in different adsorption mechanism for As(III) and As(V), which is in agreement with kinetics and pH studies. The performance of iron-oxide nanowires for removal of arsenic was compared with other iron-based material (Table S1†). Adsorption capacities of As(III) and As(V) with iron-oxide nanowires are amongst highest reported for similar materials obtained from nature and very close to recently reported, synthetically made γ-Fe2O3 nanosheets.41
Conc. (mM) | Adsorption capacity of As(III) (mg g−1) in the presence of ions | |||
---|---|---|---|---|
PO43− | SO42− | NO3− | HCO3− | |
0.00 | 4.96 ± 0.24 | 4.96 ± 0.24 | 4.96 ± 0.24 | 4.96 ± 0.24 |
0.10 | 4.92 ± 0.32 | 4.89 ± 0.09 | 4.64 ± 0.53 | 4.88 ± 0.40 |
1.00 | 4.52 ± 0.06 | 4.60 ± 0.20 | 4.54 ± 0.84 | 4.30 ± 0.30 |
10.0 | 2.36 ± 0.65 | 4.45 ± 0.09 | 4.61 ± 0.29 | 4.10 ± 0.25 |
Conc. (mM) | Adsorption capacity of As(V) (mg g−1) in the presence of ions | |||
---|---|---|---|---|
PO43− | SO42− | NO3− | HCO3− | |
0.00 | 5.73 ± 0.17 | 5.73 ± 0.17 | 5.73 ± 0.17 | 5.73 ± 0.17 |
0.10 | 1.26 ± 0.05 | 5.22 ± 0.46 | 5.72 ± 0.14 | 5.53 ± 0.22 |
1.00 | 0.89 ± 0.02 | 5.72 ± 0.13 | 6.15 ± 0.17 | 5.71 ± 0.38 |
10.0 | 0.00 | 5.82 ± 0.14 | 7.16 ± 0.54 | 5.20 ± 0.36 |
As for the FTIR spectra of As(III) adsorption on iron-oxide nanowires, noticeable decrease of the 952 cm−1 band indicates that interactions of Fe–OH group with As(III) play important role but it is not dominant mechanism of As(III) removal. The possible cause for the existence of several mechanisms of adsorption of As(III) species on the surface of iron-oxide nanowires could be the fact that at pH 9, As(III) exists as a neutral H3AsO3 and negatively charged H2AsO3− species which will interact differently with the active sites on the surface of adsorbent.
What can be confusing is the fact that even using same examination techniques and similar material for removal of arsenic often conflicting results are obtained for mechanism of arsenic adsorption which are usually result of different experimental results concerning time scale, initial concentration of arsenic, pH of used solutions and difference in surface morphology of adsorbent.
Using results from the kinetic study combine with FTIR spectroscopic method and results of adsorption of arsenic as a function of pH in this work we tried to give insight into mechanism of adsorption of As(V) and As(III) onto iron-oxide nanowires. Kinetic experiments showed us that As(V) and As(III) are best described with pseudo-second order model. This model is based on the assumption that chemisorption is the rate-limiting step, implying that both arsenic species could be adsorbed with iron-oxide nanowires by forming chemical bonds.48 FTIR results further confirmed kinetic results identifying Fe–OH surface group as an active adsorption sites for both As(V) and As(III). New chemical bond in the FTIR spectra of iron-oxide nanowires after adsorption of As(V) can be related with the creation of iron–arsenate while significant decrease of peak signed to Fe–OH vibration in spectra after adsorption of As(III) is an indicator of interaction and involvement of surface OH groups in the process of removal of As(III). Absence of substantial decrease of As(V) and As(III) removal at the pH values where both, surface of adsorbent and arsenic species are negatively charged indicates that besides electrostatic interactions and ion exchange in the pH below PZC of material different sorption mechanism, like surface precipitation or diffusion could be dominant.
We believe that good adsorption capability of iron-oxide nanowires owes to its unique 2D structure. In our case, high surface-to-volume ratio associated with oxide nanowires, together with microporous structure permits fast access to the surface and further diffusion of arsenic into iron-oxide nanowires.49 Twisting 2-D wires in rope-like structure should benefit to the necessary physical strength that will prevent too high pressure drop during usage in column study, typical for nanomaterials, and enable usage of iron-oxide nanowires without need for impregnation into supporting material.
Footnote |
† Electronic supplementary information (ESI) available. See DOI: 10.1039/c6ra26379h |
This journal is © The Royal Society of Chemistry 2017 |