Open Access Article
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Enhanced extraction of organophosphorus pesticides from fruit juices using magnetic effervescent tablets composed of the NiFe2O4@SiO2@PANI-IL nanocomposites

Dechao Chen, Sai Ma, Xiaofan Zhang, Xuedong Wang, Ming Gao, Jieyi Li* and Huili Wang*
School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China. E-mail: 100913915@qq.com; whuili@163.com; Fax: +86-512-68095950; Tel: +86-512-68095950

Received 25th October 2020 , Accepted 22nd December 2020

First published on 5th January 2021


Abstract

The reported ionic liquid (IL)-based magnetic effervescent tablets are a result of direct addition of ILs and magnetic nanoparticles (MNPs). In effervescent reaction-enhanced microextraction procedures, the dissociation between ILs and MNPs easily leads to loss of ILs due to aqueous solubility, thereby decreasing the extraction efficiency. Herein, we attached a hydrophilic IL ([BMIM]Br) onto the surface of NiFe2O4@SiO2@polyaniline (NiFe2O4@SiO2@PANI-IL) to prepare novel core–shell-like multi-layer nanocomposites. Magnetic effervescent tablets were composed of Na2CO3 as an alkaline source, tartaric acid as an acidic source and as-synthesized nanocomposites as an extractant. The nanocomposites were used in an effervescent reaction-enhanced magnetic solid-phase extraction (ERMSE) for the extraction of four organophosphorus pesticides (OPPs) in fruit juices prior to HPLC-DAD detection. Under optimized conditions, this method provided low limits of detection (0.06–0.17 μg L−1), high recoveries (80.6–97.3%) and excellent precision (1.1–5.2%) for OPP quantification in five fruit juices. Notably, the three-layer core–shell nanocomposites were efficiently recycled for at least eight extraction cycles with a recovery loss of <10%. The novelty of this study lies in: (1) for the first time, the ILs-based hybrid magnetic nanocomposites were prepared with appropriate pore size/volume and more active sites for OPPs; (2) the combination of the nanocomposites with effervescent tablets realizes rapid dispersion of CO2 bubbles, and convenient magnetic separation/collection into one synchronous step; and (3) due to there being no requirement of electrical power, it is feasible for use in field conditions. Thus, the ERMSE method has excellent potential for conventional monitoring of trace-level OPPs in complex fruit juice matrices.


1. Introduction

Organophosphorus pesticides (OPPs) play an important role in controlling agricultural insects; however, their high toxicity has raised great public concern, especially in various foods.1 The residues of OPPs in fruit juices constitute a serious risk to human health.2 The Chinese government set the maximum residue limits of 10–50 μg kg−1 for OPPs in fruits and their related products (GB2763-2016, China Food and Drug Administration).3 To ensure safety of fruit juices for human consumption, sensitive, rapid and robust analytical methodologies are required for OPP detection in fruit juices.

Compared to traditional methods, magnetic solid-phase extraction (MSPE) overcomes several shortcomings, such as use of large volumes of organic solvent, requirement for specialized devices and time-consuming processing.4,5 Among magnetic adsorbents utilized for MSPE, magnetic nanoparticles (MNPs) are widely used in the adsorption of OPPs due to their excellent characteristics. Among them, NiFe2O4 has received wide attention because of its advantageous properties, such as high surface area and strong magnetic response.6–8 However, due to the high chemical reactivity of bare NiFe2O4, it readily oxidizes in air leading to a loss of dispersibility and adsorption capacity. Hence, a protective layer is often applied to ensure chemical stability and enhance dispersibility.9–11

Silica is often selected as a coating layer for NiFe2O4 MNPs because of its chemical stability, biocompatibility and ease for surface modification.9,10 For example, methyl blue was adsorbed from aqueous solution by magnetic 0.9NiFe2O4/0.1SiO2 nanocomposites.11 Some modification of nanocomposite surfaces by either functionalization or coating with other solid support or functional groups (e.g., natural, conductive, and synthetic polymers) is required to enhance resolution and extraction efficiency.12 Among the conductive polymers, polyaniline (PANI) has attracted a great deal of attention due to its multifunctional properties (e.g., hydrophobicity, acid–base character, π–π interactions and electrical activity), easy synthesis and permeable porous structure.13,14 In the synthesis of PANI, it is possible to add amphiphilic compounds, called surfactants, which interact with each other to form molecular aggregates, called micelles, which form a porous media.15 Consequently, PANI is applied in separation science, in areas such as packing material in MSPE and fiber material for SPME.16 Especially, PANI has been modified with MNPs to extract various types of pollutants from environmental matrices, such as prepared Fe3O4@SiO2@polyaniline (PANI) MNPs to adsorb Se and Te,17 PANI nanofiber synthesized on graphene oxide (PANI-GO) surfaces for extraction of Pb2+ in food samples18 and restricted access macroporous magnetic polyaniline for coumarin detection in rat plasma.15

Ionic liquids (ILs) refer to a class of organic salts composed of various inorganic and organic anions and organic cations.19,20 By changing the structure of ionic moieties or polymerization, the properties of ILs can be modified and optimized for different target analytes.21 In recent years, ILs have been employed to increase the extraction efficiency by loading them onto the surface of polymers or MNPs,22 which can interact with organic chemicals via electrostatic interactions, hydrogen bonding, π–π stacking and hydrophilic/hydrophobic interactions. Generally, the prominent benefits of using ILs as coating materials on MNPs are to improve the selectivity, sensitivity and extraction efficiency for target analytes.23 Notably, the integration of ILs with PANI will supply more surface-active groups (e.g., carboxyl, hydroxyl and ammonium groups), yielding stronger molecular interactions between PANI-IL and targeted chemicals.

Based on the above considerations, magnetic nanocomposites based on the combination of NiFe2O4@SiO2, PANI and ILs were prepared, hereafter referred to as NiFe2O4@SiO2@PANI-IL. The MNPs were employed as an adsorbent in an effervescent reaction-enhanced microextraction for efficient extraction of OPPs in fruit juices. The NiFe2O4@SiO2@PANI-IL nanocomposites demonstrated several advantages aimed at improving the dispersibility of nanocomposites and extraction efficiency, such as moderate specific surface area and pore size, an abundance of surface-active groups, rapid magnetic separation and reduced agglomeration of nanoparticles. Nowadays, effervescent reaction-enhanced microextraction is based on a simple reaction that generates CO2 bubbles, which accelerates the dispersion of MNPs in solution.24,25 The process of magnetic effervescent tablet-assisted dispersive extraction can eliminate the use of dispersive solvents in microextraction, realize rapid magnetic separation, avoid centrifugation/stirring steps and save processing time.

The aim of this work was to develop a novel magnetic nanocomposite based on IL-coated NiFe2O4@SiO2@PANI hybrid MNPs. Subsequently, the hybrid nanocomposites were employed in an effervescent reaction-enhanced magnetic solid-phase extraction (ERMSE) for preconcentration/extraction of four common OPPs from fruit juice samples prior to detection by liquid chromatography. Under optimized conditions, the ERMSE methodology demonstrated efficient adsorption/extraction of trace-level OPPs, thereby showing excellent potential for routine monitoring of OPPs in fruit juices.

2. Experimental

2.1. Reagents and materials

Analytical standards for four OPPs (methamidophos, malathion, parathion, diazinon) with 99% purity, and analytical-grade FeCl3·6H2O and Ni(NO3)2·6H2O were purchased from Zhongke Quality Inspection Biotechnology (Beijing, China). Chromatographic-grade methanol, acetonitrile, ethanol, acetone and ethyl acetate were obtained from Aladdin (Shanghai, China). A series of analytical-grade chemicals were acquired from Tansoole (Shanghai, China): sodium hydroxide (NaOH), sodium carbonate (Na2CO3), hydrochloride acid (HCl), polyethylene glycol (PEG), tartaric acid (TTA), tetraethoxysilane (TEOS), aniline, ammonium persulfate (APS) and the ionic liquid, 1-butyl-3-methylimidazolium bromide ([BMIM]Br). Each OPP standard was dissolved in methanol to prepare a stock solution (100 mg L−1) and stored at 4 °C. Ultrapure water (>18.2 MΩ-cm, Millipore, Billerica, MA, USA) was used throughout this study. The 0.22 μm nylon (NL) and 0.45 μm polyether sulfone (PES) membrane filters were purchased from Anpel Scientific Instrument (Shanghai, China).

2.2. Instrumentation

Quantification of OPPs was performed on a Shimadzu HPLC-DAD (LC-20AT). A Zorbax Eclipse XDB-C18 column (5 μm, 150 mm × 4.6 mm) was used for separating the analytes. HPLC-DAD operational conditions were as follows: flow rate, 0.9 mL min−1; column temperature, 30 °C; mobile phase, methanol–water at 65%:35% v/v; detection wavelength, 270 nm and injection volume, 20 μL. The structure and morphology of nanomaterials were characterized by scanning electron microscopy (SEM, Sigma300, Germany) and transmission electron microscopy (TEM, JEM2010, USA). Fourier-transform infrared (FT-IR) spectra were recorded on a Nicolet IS50 spectrometer with a range of 400–4000 cm−1. Powder X-ray diffraction (XRD) of nanomaterials was obtained by an EDX-720 X-ray power diffractometer (Agilent, USA) with a Cu Kα source (1.54056 Å) at room temperature between 5° and 90° 2θ. Brunauer–Emmett–Teller (BET) surface area was measured by N2 adsorption–desorption at 77 K using an ASAP 2020 system (Quantachrome, USA). Magnetic properties were investigated using a vibrating sample magnetometer (VSM, San Diego, CA, USA) with an applied field between −20[thin space (1/6-em)]000 Oe and 20[thin space (1/6-em)]000 Oe at room temperature. Zeta potential was measured using a zeta potential analyzer (Malvern, UK). Thermogravimetric analysis (TGA) was determined at a heating rate of 10 °C min−1 over a temperature range of 50 to 700 °C under nitrogen flow (SDT Q600 Thermal Analyzer, Perkin Elmer, Waltham, MA, USA).

2.3. Synthesis of NiFe2O4@SiO2@PANI-IL nanocomposites

2.3.1. NiFe2O4 MNPs. Magnetite NiFe2O4 nanoparticles were prepared by using a hydrothermal method.24 First, FeCl3·6H2O (5.4 g) and Ni(NO3)2·6H2O (2.9 g) were dissolved in 100 mL ultrapure water. After 10 min ultrasound, 0.11 g of PEG was added and further sonicated for 5 min.26 Then, the pH of the resulting solution was adjusted to 7.0 using 0.9 mol L−1 NaOH. Next, the mixture was transferred to a 100 mL Teflon-lined stainless autoclave and heated at 160 °C for 12 h followed by cooling to room temperature. Finally, the precipitates were collected using a magnet and washed for three cycles with ultrapure water and ethanol, before drying in a vacuum oven at 60 °C for 6 h.
2.3.2. NiFe2O4@SiO2 nanomaterials. NiFe2O4 MNPs (3.0 g) were dispersed in 25 mL of ethanol and ultrasonicated for 10 min. The solution was stirred at ambient conditions under a N2 flow with the pH adjusted to 11 (15%, NH3·H2O). Next, 2 mL of TEOS was added to the solution and continuously stirred for 1 h. Subsequently, NiFe2O4@SiO2 nanomaterials were magnetically separated and washed for 3 cycles with ultrapure water and ethanol, followed by drying in a vacuum oven for 3 h at 60 °C.
2.3.3. NiFe2O4@SiO2@PANI-IL nanocomposites. First, 1.5 g of ammonium persulfate (APS) and 1.0 g of aniline were dissolved in 40 mL of 0.25 M HCl. The mixture was then stirred for 2 h and stored at 4 °C. Next, the aforementioned mixture was added dropwise to 60 mL ethanol containing 1.5 g of NiFe2O4@SiO2 and 1.0 g of [BMIM]Br. After 12 h of stirring, the synthesized NiFe2O4@SiO2@PANI-IL nanocomposites were rinsed for 3 cycles with ethanol and water, before drying in a vacuum oven at 60 °C. Finally, the dried nanomaterial was ground into a powder and sealed for further use (Fig. 1A).
image file: d0ra09100f-f1.tif
Fig. 1 Schematic representation of the ERMSE procedures. Note: (A) synthesis of the NiFe2O4@SiO2@PANI-IL nanocomposites; (B) preparation of effervescent tablets; (C), operational procedures for the ERMSE method.

2.4. Preparation of the magnetic effervescent tablets

Initially, Na2CO3 and TTA were dried in an oven for 1 h at 60 °C and stored in a desiccator before use. Then, a mixture of Na2CO3 (212 mg) and TTA (300 mg), and 15 mg of prepared NiFe2O4@SiO2@PANI-IL nanocomposites were mixed and manually blended in an agate mortar. After grinding, the power was compressed into a magnetic effervescent tablet (8 mm diameter × 2.5 mm thickness) by a 5T/8MM 5T Punch Press (Shanghai, China). The as-pressed effervescent tablets were stored in a desiccator at room temperature prior to use (Fig. 1B).

2.5. Fruit juice sample preparation

Five types of fruit juice samples (apple, pear, orange, peach and mango) were provided by Jialefu Supermarket (Suzhou, China). Aliquots (30 mL) of the fresh juice samples were centrifuged at 5000 rpm for 10 min and the supernatants filtered through a 0.45 μm membrane filter. Finally, the filtrate was diluted 1[thin space (1/6-em)]:[thin space (1/6-em)]2 using Milli-Q ultrapure water for use in the following ERMSE procedures.

2.6. ERMSE procedures

A schematic illustration of the ERMSE method is depicted in Fig. 1C. First, an aliquot (8 mL) of the pretreated juice was introduced into a 15 mL conical centrifuge tube. Next, a magnetic effervescent tablet was placed into the tube where it produced a vigorous reaction of bubbles (CO2) throughout the reaction vessel. The effervescent tablet remained active for ∼3–4 min, resulting in homogeneous dispersion of the nanocomposites throughout the aqueous solution. Then, the nanocomposite adsorbent enriched with the analytes was collected by placing an external magnet alongside the centrifuge tube. The supernatant was carefully discarded by pipette, and an appropriate volume of elution solvent added to elude the OPPs from the nanocomposites. The collected eluate was filtered using a 0.45 μm filter, and redissolved in 100 μL methanol after being dried with a gentle nitrogen gas flow. Finally, 20 μL of the resulting solution was subjected to HPLC/DAD detection.

3. Result and discussion

3.1. Characterization of NiFe2O4@SiO2@PANI-IL MNPs

3.1.1. SEM and TEM analyses of coated nanocomposites. Morphologies of the NiFe2O4, NiFe2O4@SiO2 and NiFe2O4@SiO2@PANI-IL were examined by SEM and TEM (Fig. 2). NiFe2O4 nanoparticles exhibited an obvious agglomeration phenomenon (Fig. 2A and D). The SiO2 attached on the NiFe2O4 surface protected the MNPs from being corroded and oxidized in the air, and further agglomerated in the aqueous phase. NiFe2O4@SiO2 showed sphere-shaped nanoparticles with increased particle size as compared to NiFe2O4 nanoparticles (Fig. 2B and E). Compared to the pure NiFe2O4 MNPs, SEM images of NiFe2O4@SiO2@PANI-IL displayed a multi-layer sphere, but their surface became rough (Fig. 2C). TEM observations showed smaller nanoparticles attached onto the surface of the NiFe2O4 core as PANI coated the surface of the SiO2 layer, and PANI acted as a bridge to load ILs (Fig. 2F). Introduction of ILs onto the surface of the core–shell structure led to more surface active sites on the MNPs, contributing to potentially higher extraction efficiency for OPPs.
image file: d0ra09100f-f2.tif
Fig. 2 SEM images of NiFe2O4 (A), NiFe2O4@SiO2 (B) and NiFe2O4@SiO2@PANI-IL (C); TEM images of NiFe2O4 (D), NiFe2O4@SiO2 (E) and NiFe2O4@SiO2@PANI-IL (F).
3.1.2. EDS elemental mapping. Elemental analysis by EDS mapping demonstrated the presence of O, Fe, Ni, Si, C and N in the synthesized nanocomposites (Fig. 3); atomic percentages are reported in ESI Table 1. As for NiFe2O4@SiO2@PANI-IL nanocomposites, the elemental percentages for O, Fe, Ni, Si, C and N were 16.6, 2.5, 1.2, 3.4, 65.6 and 6.7%, respectively. Compared to NiFe2O4 and NiFe2O4@SiO2 nanoparticles, the NiFe2O4@SiO2@PANI-IL surface had lower O, Fe, Ni and Si contents, but higher C and N concentrations indicating successful synthesis of magnetic core–shell nanocomposites. EDS mapping of NiFe2O4@SiO2@PANI-IL identified the presence of Fe (from NiFe2O4), Ni (from NiFe2O4), O (from NiFe2O4@SiO2), N (from PANI and [BMIM]Br), and C (from PANI and [BMIM]Br). These results confirm the uniform distribution of multi-layer coatings (SiO2, PANI and [BMIM]Br) over the surface of the NiFe2O4 nanoparticles, and also the successful synthesis of the core–shell structure of NiFe2O4@SiO2@PANI-IL nanocomposites.
image file: d0ra09100f-f3.tif
Fig. 3 EDS mapping of the NiFe2O4@SiO2@PANI-IL nanocomposites.
3.1.3. FT-IR characterization. FT-IR spectra for NiFe2O4, NiFe2O4@SiO2 and NiFe2O4@SiO2@PANI-IL MNPs are displayed in Fig. 4A. NiFe2O4 MNPs displayed absorption bands at 454, 600, 1342, 1628 and 3419 cm−1 corresponding to the stretching vibration peaks for Ni–O, Fe–O, C[double bond, length as m-dash]O, N–O and O–H, respectively. Compared to the NiFe2O4 spectrum, new peaks around 700–1000 and 1100 cm−1 appeared in both NiFe2O4@SiO2 and NiFe2O4@SiO2@PANI-IL nanocomposites, which were attributed to the C–H stretching vibration and Si–O–Si lattice vibration of SiO2, respectively. These results indicate that SiO2 was successfully encapsulated on the surface of the NiFe2O4 MNPs by physical and chemical adsorption. The peaks at 1299 and 1487 cm−1 were related to the C[double bond, length as m-dash]O and C[double bond, length as m-dash]C groups of PANI-IL. The typical stretching vibration peak of C[double bond, length as m-dash]N at 1233 cm−1, resulting from PANI and [BMIM]Br, indicated that the PANI-IL was successfully attached onto the surface of NiFe2O4@SiO2. Hence, FT-IR analysis verified the successful preparation of the NiFe2O4@SiO2@PANI-IL nanocomposites.
image file: d0ra09100f-f4.tif
Fig. 4 FT-IR spectrum of NiFe2O4 (A-a), NiFe2O4@SiO2 (A-b) and NiFe2O4@SiO2@PANI-IL (A-c); XRD patterns of NiFe2O4 (B-a), NiFe2O4@SiO2 (B-b) and NiFe2O4@SiO2@PANI-IL (B-c); Magnetic properties of nanocomposites (C); zeta potentials of nanocomposites at different pH values (D).
3.1.4. XRD characterization. The crystalline structures of NiFe2O4, NiFe2O4@SiO2 and NiFe2O4@SiO2@PANI-IL were confirmed by XRD (Fig. 4B). The main peaks at 2θ values of 18.3, 30.4, 44.2, 54.7, 57.1 and 63.5° were assigned to the (111), (220), (400), (422), (511) and (440) reflections of NiFe2O4 (PDF#74-2081 standard pattern), respectively. Compared to NiFe2O4, the peak for NiFe2O4@SiO2 around 24.6° was assigned to the (002) plane of SiO2.27 There were no prominent differences in XRD profiles between NiFe2O4@SiO2 and NiFe2O4@SiO2@PANI-IL, implying that the PANI-IL coating did not affect the crystal structure of NiFe2O4@SiO2 MNPs. Results of XRD characterization provided further evidence for successful synthesis of the nanocomposites.
3.1.5. Magnetic properties. Saturated magnetization values for NiFe2O4, NiFe2O4@SiO2 and NiFe2O4@SiO2@PANI-IL MNPs were 36.2, 29.5 and 23.9 emu g−1, respectively (Fig. 4C). Higher magnetic saturation values reflect stronger magnetic properties. Although the saturation magnetization values of the nanocomposites were reduced by surface coatings, rapid separation from aqueous solution was still achieved due to the relatively high saturation magnetization of NiFe2O4@SiO2@PANI-IL (Inset of Fig. 3C).
3.1.6. Zeta potential characterization. The point of zero charge (PZC) is an important variable for assessing the surface charge characteristics of nanocomposites. The PZC of NiFe2O4@SiO2@PANI-IL nanocomposites was pH = 5.8, indicating that the net surface charge of the nanocomposites was positive at pH < 5.8, but negative at pH > 5.8 (Fig. 4D). At a near-neutral charge state (pH = 5.8), the nanomaterials should possess their highest extraction efficiency for the molecular-state OPPs.
3.1.7. N2 adsorption–desorption isotherms. The BET surface area along with pore volume and size were measured for NiFe2O4, NiFe2O4@SiO2 and NiFe2O4@SiO2@PANI-IL using N2 adsorption–desorption dynamics. BET surface areas of NiFe2O4, NiFe2O4@SiO2 and NiFe2O4@SiO2@PANI-IL were 104.5, 173.1 and 81.1 m2 g−1, respectively (Fig. 5; ESI Table 2). Compared to NiFe2O4 and NiFe2O4@SiO2, the decreased surface area of NiFe2O4@SiO2@PANI-IL nanocomposites appears to result from the introduction of multiple surface functional groups, accompanying with partial agglomeration of the MNPs.28 Relative to the NiFe2O4 (0.302 cm3 g−1), the decreased pore volume of NiFe2O4@SiO2 (0.059 cm3 g−1) was likely due to the encapsulation of SiO2 nanoparticles into NiFe2O4. However, compared to the NiFe2O4@SiO2, the higher pore volume of NiFe2O4@SiO2@PANI-IL (0.136 cm3 g−1, Fig. 5C) may result from generation of mesoporous structures between the interconnected nanofibers in PANI-IL, providing more active paths and sites for adsorption. Mean pore size of NiFe2O4, NiFe2O4@SiO2 and NiFe2O4@SiO2@PANI-IL was 13.7, 14.1 and 17.9 nm, which were all in the mesoporous size range (2–50 nm). Generally, the moderate surface area and mesoporous structure provide abundant sites for sorption of pollutants, rendering NiFe2O4@SiO2@PANI-IL an effective adsorbent for OPPs.
image file: d0ra09100f-f5.tif
Fig. 5 Nitrogen adsorption–desorption isotherms for NiFe2O4 (A), NiFe2O4@SiO2 (B) and NiFe2O4@SiO2@PANI-IL nanocomposites (C); TGA profiles of the different nanocomposite coatings (D).
3.1.8. Thermogravimetric properties. Thermal stability of the three MNPs was assessed by TGA in the temperature range of 50–700 °C under nitrogen flow. Mass loss below 200 °C was in the range of 5–9%, which was ascribed to evaporation of sorbed water (Fig. 5D). In the temperature range of 200–450 °C, mass loss of NiFe2O4@SiO2@PANI-IL nanocomposites was about 20%, which may represent loss of unbound HCl.29 A further mass loss of 30% at temperatures between 450–575 °C was attributed to pyrolysis of the PANI chains. In sharp contrast, the TGA curve of NiFe2O4 showed a mass loss of ∼8% over the 30–700 °C temperature range assigned to the loss of physically and chemically bound water molecules (Fig. 5D). The similar low-level mass loss for NiFe2O4@SiO2 and NiFe2O4 verifies the good thermal stability of MNPs in the core–shell microspheres.

3.2. Optimization of ERMSE operational parameters

3.2.1. Composition of acidic and basic salts for effervescent tablet. Effervescent tablets (mixture of effervescent precursors) play an important role in the ERMSE procedures by acting as a vigorous dispersant. Effervescent tablets are composed of three main components: acidic salt, alkaline salt and extractant/adsorbent.23 According to previous reports,30,31 we tested two conventional acidic salts and two alkaline salts as potential tablet components, Na2CO3 and NaHCO3 as alkaline salts and NaH2PO4 and tartaric acid (TTA) as acidic salts. We assessed four different tablet combinations: Na2CO3 + NaH2PO4, NaHCO3 + NaH2PO4, Na2CO3 + TTA, and 2NaHCO3 + TTA. The Na2CO3 + TTA combination provided the highest overall mean extraction recoveries (ERs) for the four OPPs. With respect to individual OPP ERs, Na2CO3 + TTA had the highest ERs for methamidophos, malathion and parathion, while Na2CO3 + NaH2PO4 had the highest ER for diazinon (Fig. 6A). The Na2CO3 + TTA tablet, composed of 212 mg of Na2CO3, 300 mg of C4H6O6 and 15 mg nanocomposites, produced a vigorous effervescence intensity and reaction time (∼4 min), consistent with previous results obtained by Ding et al.30 and Wu et al.31 Given its superior performance, the Na2CO3+ TTA tablet was selected as the acidic/alkaline source in preparation of magnetic effervescent tablets.
image file: d0ra09100f-f6.tif
Fig. 6 Effects of experimental variables on the ERs for OPPs. Note: (1) (A), effects of different composition of effervescent tablets on ERs; (B), amount of the nanocomposites; (C), extraction time; (D), type of elution solvent; (E) volume of elution solvent; (F) comparison of ERs with effervescent reaction versus 4 min hand-shaking (no effervescence); (2) error bar indicates the standard deviation (n = 3); (3) spiked level of each OPP species at 20 μg L−1.
3.2.2. Amount of NiFe2O4@SiO2@PANI-IL nanocomposites as adsorbent. Magnetic nanocomposites enhance the adsorption/extraction of OPPs from complex matrices due to their high specific surface area, appropriate PZC yielding suitable surface charge characteristics, abundant surface adsorption groups and efficient collection from solution by a strong magnetic field.3 The effects of the amount of MNPs on the ERs were investigated over the range of 5–30 mg. The ERs for all four OPPs increased with increasing adsorbent doses from 5 to 15 mg, but decreased with further increases from 20 to 30 mg (Fig. 6B). As a consequence, 15 mg was chosen as the optimum quantity of adsorbent for the extraction process.
3.2.3. Extraction time. Extraction time indicates the interval from dispersion to separation of the nanocomposites and is an important parameter for optimizing the ERs for OPPs in the ERMSE procedures. An appropriate extraction time leads to improvements in adsorption by MNPs, purification effects and extraction efficiency.32 The effect of extraction time was examined in the range of 2–10 min (Fig. 6C). The ERs for the four OPPs increased gradually with increasing extraction time from 2 to 6 min, followed by a decrease from 6 to 10 min. Accordingly, 6 min was adopted as the optimum extraction time for subsequent experiments.
3.2.4. Type and volume of elution solvent. The elution solvent has a significant effect on the ERs for OPPs due to differential polarities. Five common eluent solvents (methanol, acetonitrile, acetone, ethanol and ethyl acetate) were compared for their elution efficiency. Acetonitrile gave the highest average ERs for the four OPPs (∼85%), which was much higher than for methanol (∼75%) (Fig. 6D). Acetone, ethanol and ethyl acetate produced relatively lower ERs (∼65%) for the four OPPs. Thus, acetonitrile was selected as the optimal solvent in further optimization studies.

Elution solvent volume was examined over the range of 0.4 to 2.0 mL for ERs of the four OPPs. The ERs increased from 0.4 to 0.8 mL of acetonitrile, but decreased with further increases from 0.8 to 2.0 mL (Fig. 6E). When the volume of elution solvent was <0.8 mL, OPPs were not completely desorbed, which consequently contributed to a lower ER. Theoretically, the larger the volume of eluent, the higher the extraction recovery. However, the volume of eluent is always chosen as a compromise between achieving complete immersion of the nanomaterials and minimizing analyte dilution to reduce the required volume of elution solvent.32 In this investigation, when the volume of acetonitrile was larger than 0.8 mL, the hybrid nanocomposites were over-immersed. Under such circumstance, due to saturated or excessive adsorption by nanocomposites, the volume of eluent collected after elution would be greatly lost, thus leading to the decrease of extraction recovery. Thus, an elution solvent volume of 0.8 mL was selected as the optimum volume.

Based on the optimization studies, the selected experimental conditions were: Na2CO3 + TTA as tablet acidic and alkaline sources; eluent, 0.8 mL of acetonitrile; composite mass, 15 mg; and extraction/adsorption time, 6 min.

3.3. Comparison of ERs with effervescence and no effervescence (hand-shaking)

To evaluate whether an effervescent reaction is conductive to enhanced dispersive efficiency for the NiFe2O4@SiO2@PANI-IL nanocomposites, we compared the ERs for OPPs in the presence or absence of effervescent reaction. Direct addition of nanocomposites with a 4 min hand-shaking yielded ERs for the four OPPs in the range of 79.3 to 85.4% (Fig. 6F). In contrast, use of the effervescent tablets (CO2 bubbles lasting for ∼4 min) increased the average ERs to the range of 88.4 to 93.7%, an absolute increase of ∼9.0% as compared to hand-shaking treatments. In particular, ERs for methamidophos and parathion reached as high as 93.7 and 92.8%, respectively, upon effervescent reaction (Fig. 6F). Therefore, we posit that integration of NiFe2O4@SiO2@PANI-IL into the effervescent tablet contributed to greater dispersion of the nanocomposites, thereby increasing the ERs for OPPs in the ERMSE method. Moreover, utilization of effervescent tablets avoids the need for an external physical energy source, such as ultrasound or vortexing, making the methodology feasible for remote and outdoor use.

3.4. Comparison of ERs by NiFe2O4, NiFe2O4@SiO2 and NiFe2O4@SiO2@PANI-IL

The effects of SiO2 and PANI-IL coatings on the ERs for OPPs were investigated among the three MNPs (NiFe2O4, NiFe2O4@SiO2 and NiFe2O4@SiO2@PANI-IL) using the aforementioned optimized conditions. When NiFe2O4 was used as the adsorbent/extractant, the average ER for OPPs was 56.7%, which compared to 75.4 % for the NiFe2O4@SiO2 treatment (Fig. S1). This ∼19% increase in ERs can be ascribed to the SiO2-coated NiFe2O4 having increased contact area with analytes in the aqueous solution and reduced agglomeration of MNPs, thereby improving the adsorption efficiency. In contrast, SiO2@PANI-IL-coated NiFe2O4 nanoparticles yielded average ERs as high as 88.3%, an increase of ca. 31% and 13% over those of NiFe2O4 and NiFe2O4@SiO2, respectively. These results demonstrate that the introduction of SiO2, PANI and IL onto the surface of NiFe2O4 nanoparticles prominently enhance adsorption/extraction efficiency for OPPs.

3.5. Validation of the ERMSE/HPLC-DAD method

Under optimized conditions, this proposed method was evaluated in the context of linear range (LR), coefficient of determination (R2), limits of detection (LODs, based on S/N = 3), limits of quantitation (LOQs, based on S/N = 10), as well as intra- and inter-day precisions. The LRs were 0.21–0.58–500 μg L−1 for methamidophos, malathion, parathion and diazinon (Table 1). R2 values ranged from 0.9945 to 0.9991, and the LODs and LOQs were 0.06–0.17 μg L−1 and 0.21–0.58 μg L−1 for the four OPPs, respectively. Intra- and inter-day precisions, expressed as relative standard deviations (RSDs), were 1.5–4.3% and 1.1–5.2%, respectively, at three fortification levels (5, 20 and 200 μg L−1; n = 6).
Table 1 Analytical performance of the ERMSE/HPLC-DAD method in fruit juice samplesa
Analyte Liner range (μg L−1) R2 LODs (μg L−1) LOQs (μg L−1) Intra-day RSDs (%, n = 6) Inter-day RSDs (%, n = 6)
Low Medium High Low Medium High
a (1) LRs, linear ranges; R2, coefficients of determination; LODs, limits of detection at S/N = 3; LOQs, limits of quantitation at S/N = 10; and RSDs, relative standard deviations (n = 6). (2) Precision experiments were conducted under the following conditions: (a) OPPs at the three fortification levels in apple juice; (b) NiFe2O4@SiO2@PANI-IL nanocomposites as absorbent, 15 mg; acetonitrile as eluant, 0.8 mL; extraction time, 6 min; Na2CO3 + TTA, 8 mm diameter × 2.5 mm thickness. (3) “Low, Medium and High” indicates 5, 20 and 200 μg L−1 fortification levels in apple fruit samples, respectively.
Methamidophos 0.45–500 0.9963 0.13 0.45 2.3 4.2 3.2 1.1 3.4 4.8
Malathion 0.37–500 0.9987 0.11 0.37 2.4 1.5 4.3 4.4 3.7 5.2
Parathion 0.17–500 0.9991 0.17 0.58 3.3 1.8 3.6 3.2 2.1 4.6
Diazinon 0.21–500 0.9945 0.06 0.21 1.9 3.8 3.5 2.8 4.5 3.6


3.6. Real sample analysis

To evaluate real-world applicability, five fruit juice samples (apple, pear, orange, peach, mango) were extracted by the ERMSE method, and subsequently analyzed by HPLC/DAD. Good ERs were obtained for all four OPPs from the fruit juice samples: methamidophos = 81.3–96.5%, malathion = 80.6–95.4%, parathion (83.5–97.1%) and diazinon (81.4–97.3%) (Table 2). Fig. 7 shows typical chromatograms of the four OPPs detected in fruit juices by the ERMSE/HPLC-DAD method. In summary, the newly developed method satisfies the technical requirements for trace-level detection of OPPs in complex fruit juice matrices with high precision and accuracy.
Table 2 The fortified recoveries for OPPs in fruit juice samplesa
Sample Methamidophos Malathion Parathion Diazinon
Added (μg L−1) Found (μg L−1) ER (%) Added (μg L−1) Found (μg L−1) ER (%) Added (μg L−1) Found (μg L−1) ER (%) Added (μg L−1) Found (μg L−1) ER (%)
a (1) ER indicates extraction recovery; (2) each treatment includes three replicates (n = 3); (3) each detected value is mean ± SD (standard deviation, n = 3); (4) experimental conditions: NiFe2O4@SiO2@PANI-IL as absorbent, 15 mg; 0.8 mL of acetonitrile as eluent; extraction time, 6 min.
Apple juice 5 4.2 ± 0.04 84.3 5 4.8 ± 0.05 95.4 5 4.7 ± 0.02 94.6 5 4.6 ± 0.01 91.1
20 18.3 ± 0.13 91.3 20 18.6 ± 0.04 93.2 20 19.4 ± 0.17 97.1 20 17.5 ± 0.14 87.4
200 191.2 ± 0.05 95.6 200 172.2 ± 0.28 86.1 200 173.2 ± 0.21 86.6 200 192.4 ± 0.37 96.2
Pear juice 5 4.5 ± 0.06 90.2 5 4.4 ± 0.10 88.3 5 4.4 ± 0.03 87.1 5 4.3 ± 0.02 87.3
20 16.3 ± 0.21 81.3 20 18.2 ± 0.21 91.7 20 16.7 ± 0.24 83.5 20 16.5 ± 0.33 82.6
200 177.2 ± 0.34 88.6 200 161.8 ± 0.35 80.9 200 182.0 ± 0.22 91.0 200 162.8 ± 0.24 81.4
Orange juice 5 4.8 ± 0.01 96.5 5 4.7 ± 0.02 93.6 5 4.4 ± 0.04 88.6 5 4.7 ± 0.02 93.5
20 18.9 ± 0.54 94.3 20 16.1 ± 0.25 80.6 20 18.7 ± 0.13 93.4 20 18.9 ± 0.21 94.8
200 166.2 ± 0.24 83.1 200 175.0 ± 0.13 87.5 200 179.4 ± 0.28 89.7 200 191.0 ± 0.30 95.5
Peach juice 5 4.2 ± 0.08 84.3 5 4.6 ± 0.01 91.6 5 4.3 ± 0.02 85.3 5 4.9 ± 0.01 97.3
20 16.6 ± 0.15 82.9 20 17.7 ± 0.22 88.4 20 19.4 ± 0.08 96.8 20 17.5 ± 0.17 87.3
200 178.2 ± 0.22 89.1 200 163.8 ± 0.18 81.9 200 170.6 ± 0.15 85.3 200 169.8 ± 0.41 84.9
Mango juice 5 4.7 ± 0.11 93.7 5 4.2 ± 0.04 83.4 5 4.2 ± 0.03 84.5 5 4.5 ± 0.03 90.4
20 17.1 ± 0.23 85.5 20 18.7 ± 0.36 93.7 20 18.7 ± 0.19 93.6 20 17.8 ± 0.26 89.1
200 181.2 ± 0.37 90.6 200 171.6 ± 0.21 85.8 200 188.4 ± 0.28 94.2 200 167.2 ± 0.33 83.6



image file: d0ra09100f-f7.tif
Fig. 7 Typical chromatograms of four OPPs by the ERMSE/HPLC-DAD method. Note: Optimized ERMSE conditions: OPP fortification level of 5 μg L−1; volume of eluent (acetonitrile), 0.8 mL; composite mass, 15 mg; no salt addition and extraction/adsorption time, 6 min.

3.7. Recycling of the NiFe2O4@SiO2@PANI-IL nanocomposites

MNP reusability (i.e., recycling) is an important metric for improving the application potential of nanocomposites.33 We analyzed reusability of the NiFe2O4@SiO2@PANI-IL adsorbent by regenerating with three washing cycles of ethanol and water, and subsequent drying for use in another effervescent-tablet preparation and extraction cycle. As a result, the three-layer core–shell nanomaterial could be reused for at least eight cycles with ER losses of <10%, suggesting that the nanocomposites retains excellent recyclability and stability (Fig. S2). Thus, the NiFe2O4@SiO2@PANI-IL nanomaterial possesses excellent characteristics for long-term use in the monitoring of trace OPPs in fruit juice samples.

3.8. Comparison of the ERMSE/HPLC-DAD method with previously reported methods

A comparison of the present method with previously reported methods for the determination of OPPs was conducted in the context of type of adsorbent, RSD, LODs, extraction time and ERs (Table 3).4,5,28,29,34 The ERMSE/HPLC-DAD method has the following advantages: (1) it is fast with the whole adsorption/extraction process completed within 6 min. Effervescent tablet-assisted diffusion provides rapid and effective dispersion of the nanocomposites. The adsorption/extraction time (6 min) for the new method is prominently lower than those of MOFs-based MSPE (20 min)4 and Fe3O4@SiO2@KIT-6-based MSPE (10 min);5 (2) it possesses higher sensitivity for OPPs with LODs of 0.06–0.17 μg L−1 and higher repeatability with intra- and inter-day precisions of 1.1–5.2% as compared to those of MIL-101-based MSPE-HPLC-DAD (LODs of 0.3–1.5 μg L−1)4 and Fe3O4/C-based MSPE-HPLC-UV (LODs of 4.3–47.4 μg L−1).28 It provides comparable LODs with those of MHMS-MCNPs-based MSPE/HPLC-UV (0.07 μg L−1)29 and PIL-MNPs-based MSPE/HPLC-UV (0.01 μg L−1);34 (3) it avoids the utilization of traditional organic dispersive solvents (methanol, acetonitrile, acetone, etc.) in conventional microextraction procedures; (4) the utilization of a “green” solvent in the nanocomposites and recyclable MNCs make the method more environment friendly. Overall, the NiFe2O4@SiO2-PANI-IL-based ERMSE/HPLC-DAD method is simple, rapid, easy to use and benign to the environment, and thus shows great prospective for routine trace monitoring of OPP residues in complex fruit juice matrices.
Table 3 Comparison of the ERMSE/HPLC-DAD method with previously reported methods for the determination of OPPs in fruit juicesa
Pretreatment method Type of nanomaterial as adsorbent RSD (%) LOD (μg L−1) Extraction time (min) ERs (%) References
a (1) MOFs, metal organic frameworks; (2) Fe3O4/C, carbon coated Fe3O4; (3) MHMS-MCNPs, mixed hemimicelle SDS-coated magnetic chitosan nanoparticles; (4) Fe3O4@SiO2@KIT-6, mesoporous KIT-6-magnetite composite; (5) PIL-MNPs, poly (ionic liquid) immobilized magnetic nanoparticles; (6) MSPE-HPLC-UV, magnetic solid-phase extraction combined with high-performance liquid chromatography-ultraviolet detection; (7) MSPE-HPLC-DAD, magnetic solid-phase extraction combined with high-performance liquid chromatography-diode array detection.
MSPE/HPLC-DAD MOFs, MIL-101 1.1–7.8 0.3–1.5 20 80.2–107.5 7
MSPE/HPLC-UV Fe3O4/C 2.7–7.6 4.3–47.4 5 79.6–103.5 36
MSPE/HPLC-UV MHMS-MCNPs <4.6 0.07 3 74–104.8 29
MSPE/HPLC-UV Fe3O4@SiO2@KIT-6 0.1–5.5 0.005–0.01 10 86.6–98.8 8
MSPE/HPLC-UV PIL-MNPs 4.5–11.3 0.01 2 81.4–112.6 34
ETMSE/HPLC-DAD NiFe2O4@SiO2@PANI-IL 1.1–5.2 0.06–0.17 6 80.6–97.3 This work


3.9. Recycling of the NiFe2O4@SiO2@PANI-IL nanocomposites

MNP reusability (i.e., recycling) is an important metric for improving the application potential of nanocomposites.33 We analyzed reusability of the NiFe2O4@SiO2@PANI-IL adsorbent by regenerating with three washing cycles of ethanol and water, and subsequent drying for use in another effervescent-tablet preparation and extraction cycle. As a result, the three-layer core–shell nanomaterial could be reused for at least eight cycles with ER losses of <10%, suggesting that the nanocomposites retains excellent recyclability and stability (Fig. S2). Thus, the NiFe2O4@SiO2@PANI-IL nanomaterial possesses excellent characteristics for long-term use in the monitoring of trace OPPs in fruit juice samples.

4. Conclusions

An ERMSE method, based on utilization of effervescent tablets and NiFe2O4@SiO2@PANI-IL nancomposites, was developed for the enhanced extraction of OPPs in fruit juices prior to HPLC-DAD detection. Vigorous CO2 effervescent bubbles contributed to homogeneous dispersion of nanocomposites, which enhanced interactions between OPPs and the nanosorbents. The superparamagnetism of nanocomposites was conductive to rapid separation/collection of the adsorbent from the aqueous phase. Moreover, the attachment of SiO2, PANI and ILs onto the surface of NiFe2O4 enhanced active sites, pore size/volume and stability, thereby enhancing extraction capacity. Under optimized conditions, the ERMSE method gave high precision with RSDs of 1.1–5.2%, low LODs of 0.06–0.17 μg L−1 and satisfactory recoveries of 80.6–97.3% in apple, pear, orange, peach and mango fruit juices. Notably, the NiFe2O4@SiO2@PANI-IL nancomposites can be recycled at least eight times with ER losses <10%. Consequently, the newly developed method provides a simple, efficient, and green method requiring no dispersive solvents or auxiliary devices, thereby providing wide application value in conventional monitoring of OPPs in fruit juice matrices and potential other food/environmental matrices.

Conflicts of interest

There are no conflicts of interest to declare.

Acknowledgements

This work was jointly funded by the Natural Science Foundation of China (21876125 and 22076134), Project of Suzhou Sci&Tech Bureau (SYG201875, SNG2018047 and SNG2018051) and Jiangsu Postgraduate Scientific Research and Practice Innovation Program in 2020 (SJCX20_1103 and KYCX20_2781).

References

  1. D. Li, M. He, B. Chen and B. Hu, J. Chromatogr. A, 2019, 1583, 19 CrossRef CAS.
  2. H. Heidaria, S. Ghanbari-Rada and E. Habibib, Journal of Food Composition and Analysis, 2020, 87, 103389 CrossRef.
  3. L. Du, X. Wang, T. Liu, J. Li, J. Wang, M. Gao and H. Wang, Microchem. J., 2019, 150, 104128 CrossRef CAS.
  4. L. Gao, L. Liu, Y. Sun, W. Zhao and L. He, Microchem. J., 2020, 153, 104364 CrossRef CAS.
  5. A. Lago, M. Cavalcanti, M. Rosa, A. Silveira, C. Tarley and E. Figueiredo, Anal. Chim. Acta, 2020, 1102, 11 CrossRef.
  6. D. Garcia-Rodriguez, R. Cela-Torrijos, R. A. Lorenzo-Ferreira and A. M. Carro-Diaz, Food Chem., 2012, 135, 259 CrossRef CAS.
  7. H. Zhao, Y. Dong, G. Wang, P. Jiang, J. Zhang, L. Wu and K. Li, Chem. Eng. J., 2013, 219, 295 CrossRef CAS.
  8. M. Ait Tamerd, B. Abraime, A. Lahmar, M. E. Marssi, M. Hamedoun, A. Benyoussef and A. E. Kenz, Superlattices Microstruct., 2020, 139, 106401 CrossRef CAS.
  9. H. Zhang, B. Xia, P. Wang, Y. Wang, Z. Li, Y. Wang, L. Feng, X. Li and S. Du, J. Alloys Compd., 2020, 819, 153053 CrossRef CAS.
  10. Z. Lia, Y. Liu, S. Zoub, C. Lu, H. Bai, H. Mu and J. Duan, Chem. Eng. J., 2020, 382, 123008 CrossRef.
  11. G. Su, Q. Zheng, Y. Wang, J. Liu and J. Xiang, J. Nanosci. Nanotechnol., 2018, 18, 2665 CrossRef CAS.
  12. G. Jimenez-Skrzypek, J. G. Salamo, D. A. Varela-Martinez, M. A. Gonzalez-Curbelo and J. Hernandez-Borges, J. Chromatogr. A, 2020, 1611, 460620 CrossRef CAS.
  13. C. Hu, M. He, B. Chen and B. Hu, J. Chromatogr. A, 2015, 1394, 36 CrossRef CAS.
  14. M. S. Shahriman, M. R. Ramachandran, N. N. M. Zain, S. Mohamad, N. S. A. Manan and S. M. Yaman, Talanta, 2018, 178, 211 CrossRef CAS.
  15. F. V. A. Dutra, B. C. Pires, M. M. Coelho, R. A. Costa, C. S. Francisco, V. L. Junior and K. B. Borges, Microchem. J., 2020, 153, 104490 CrossRef CAS.
  16. X. Yang, K. Qiao, F. Liu, X. Wu, M. Yang, J. Li, H. Gao, S. Zhang, W. Zhou and R. Lu, Talanta, 2017, 166, 93 CrossRef CAS.
  17. M. He, S. Su, B. Chen and B. Hu, Talanta, 2020, 207, 120314 CrossRef CAS.
  18. J. Wang, W. Zhu, T. Zhang, L. Zhang, T. Du, W. Zhang, D. Zhang, J. Sun, T. Yue, Y. Wang and J. Wang, Anal. Chim. Acta, 2020, 1100, 57 CrossRef CAS.
  19. P. Li, Y. Lu, J. Cao, M. Li, C. Yang and H. Yan, J. Chromatogr. A, 2020, 1623, 461192 CrossRef CAS.
  20. P. Zhou, K. Chen, M. Gao, J. Qu, Z. Zhang, R. A. Dahlgren, Y. Li, W. Liu, H. Huang and X. Wang, Food Chem., 2018, 268, 468 CrossRef CAS.
  21. L. Li, M. Wu, Y. Feng, F. Zhao and B. Zeng, Anal. Chim. Acta, 2016, 948, 48 CrossRef CAS.
  22. X. L. Yang, K. X. Qiao, F. Liu, X. L. Wu, M. Y. Yang, J. Li, H. X. Gao, S. B. Zhang, W. F. Zhou and R. H. Lu, Talanta, 2017, 166, 93 CrossRef CAS.
  23. Y. Li, J. Hu, W. Liu, L. Jin, P. Zhou, Y. Zhang, B. Zhang, Z. R. A. Dahlgren, X. Wang and Y. Zhou, Talanta, 2019, 195, 785 CrossRef CAS.
  24. P. Zhou, R. Zheng, W. Zhang, W. Liu, Y. Li, H. Wang and X. Wang, J. Anal. At. Spectrom., 2019, 34, 598 RSC.
  25. S. Wang, X. Pang, J. Cao, W. Cao, J. Xu, Q. Zhu, Q. Zhang and L. Peng, J. Chromatogr. A, 2015, 1418, 12 CrossRef CAS.
  26. H. Kavas, A. Baykal, M. S. Toprakc, Y. Köseoglu, M. Sertkol and B. Aktas, J. Alloys Compd., 2009, 479, 49 CrossRef CAS.
  27. N. H. Nasab and J. Safari, J. Mol. Struct., 2019, 1193, 118 CrossRef.
  28. X. Sun, Y. Q. Ma, S. T. Xu, Y. F. Xu and B. G. Geng, Mater. Charact., 2015, 107, 343 CrossRef CAS.
  29. M. George, A. K. Pandey, N. A. Rahim, V. V. Tyagi, S. Shahabuddin and R. Saidur, Sol. Energy, 2020, 204, 448 CrossRef CAS.
  30. W. Ding, X. Wang, T. Liu, M. Gao, F. Qian, H. Gu and Z. Zhang, Microchem. J., 2019, 150, 104109 CrossRef CAS.
  31. J. Wu, J. Li, Y. Chen, X. Bao, H. Tang, S. Ma, S. Zhou, M. Xu, J. Tao, W. Wang and X. Wang, Food Analytical Methods, 2019, 12, 2106 CrossRef.
  32. W. Ding, X. D. Wang, T. T. Liu, H. D. Gu and Z. N. Zhang, Microchem. J., 2019, 150, 104109 CrossRef CAS.
  33. C. Tan, J. Li, W. Liu, Q. Zhao, X. Wang and Y. Li, Chem. Eng. J., 2020, 396, 125191 CrossRef CAS.
  34. S. R. Bandforuzi and M. R. Hadjmohammadi, Anal. Chim. Acta, 2018, 1078, 90 CrossRef.

Footnote

Electronic supplementary information (ESI) available. See DOI: 10.1039/d0ra09100f

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