Open Access Article
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Electroanalytical overview: the sensing of carbendazim

Robert D. Crapnell , Prashanth S. Adarakatti and Craig E. Banks *
Faculty of Science and Engineering, Manchester Metropolitan University, Chester Street, Manchester M1 5GD, UK. E-mail: c.banks@mmu.ac.uk; Tel: +44 (0) 1612471196

Received 24th June 2023 , Accepted 7th September 2023

First published on 7th September 2023


Abstract

Carbendazim is a broad-spectrum systemic fungicide that is used to control various fungal diseases in agriculture, horticulture, and forestry. Carbendazim is also used in post-harvest applications to prevent fungal growth on fruits and vegetables during storage and transportation. Carbendazim is regulated in many countries and banned in others, thus, there is a need for the sensing of carbendazim to ensure that high levels are avoided which can result in potential health risks. One approach is the use of electroanalytical sensors which present a rapid, but highly selective and sensitive output, whilst being economical and providing portable sensing platforms to support on-site analysis. In this minireview, we report on the electroanalytical sensing of carbendazim overviewing recent advances, helping to elucidate the electrochemical mechanism and provide conclusions and future perspectives of this field.


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Robert D. Crapnell

Robert D. Crapnell achieved both his MChem and PhD from the University of Hull, United Kingdom, respectively, in 2014 and 2018. He is currently a senior research associate at Manchester Metropolitan University, United Kingdom. His research is predominantly focused on fundamental electrochemistry, additive manufacturing, sustainability, bespoke filament production and electrochemical and thermal biosensor development.

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Prashanth S. Adarakatti

Prashanth S. Adarakatti did his post-graduation from P. C. Jabin Science College, Hubballi, India. He completed his Doctorate degree in 2017 from Central College, Bangalore University, India. Then he started his postdoctoral studies at the Indian Institute of Science (IISc), Bengaluru, India. He started his career working as an Assistant Professor of Chemistry at SVM Arts, Science and Commerce College, ILKAL, affiliated to Rani Channamma University, Belagavi, Karnataka, India. Currently, he is working as a research associate at Manchester Metropolitan University, Manchester, UK under Prof. Craig E. Banks' supervision. His research focuses on the development of electrochemical sensors and electroanalysis of energy materials.

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Craig E. Banks

Craig E. Banks holds a personal chair in chemistry and has published over 600 papers and works on next generation additive manufacturing electrochemical sensing platforms.


1. Introduction to carbendazim

Carbendazim (methyl N-(1H-benzimidazol-2-yl)carbamate) is a broad-spectrum systemic fungicide that is used to control various fungal diseases in agriculture, horticulture, and forestry. Carbendazim is a degradation product of benomyl and thiophanate-methyl which are used in fungicides and it has a half-life of 3 days to 12 months.1 It belongs to the benzimidazole group of fungicides which exhibit broad-spectrum activity against various fungal pathogens and are widely used in agricultural and horticultural practices for disease control. Carbendazim is regulated in terms of maximum residue limits (MRLs) in various food products to ensure consumer safety. MRLs are the maximum concentrations of pesticide residues legally allowed in, or on food products. These limits are established based on extensive research and risk assessments conducted by regulatory authorities. MRLs values vary between different countries, for example, for apples, the levels are reported to be 5, 3, and 0.2 mg kg−1 for China, Japan, EU/UK while carbendazim is banned within USA and Australia.1 Carbendazim is classed as a highly dangerous pesticide by the World Health Organization and has possible carcinogenic effects on humans.2 The negative effects of carbendazim to human health have stimulated the reduction of the MRLs, and subsequently the development of reliable and sensitive detection methods are required.3

The measurement of carbendazim has been reported using high-performance liquid chromatography (HPLC) with fluorescence,4 gas chromatography-mass spectrometry (GC-MS),5 liquid chromatography-mass spectrometry (LC-MS)6 and enzyme-linked immunosorbent assays,7 noting that it is important that the specific sensing method chosen depends on the sample type, required sensitivity, regulatory requirements, and available resources. Validated and accredited laboratories often employ these techniques for reliable and accurate measurement of carbendazim and other pesticide residues. Such approaches can be costly, time consuming, require pre-treatment, and can exhibit poor selectivity and are subject to large inaccuracies when applied into real samples. One approach is the use of electroanalytical sensors, which can deliver highly selective and sensitive outputs without specialized operators yet are rapid and economical. In this minireview, we provide a summary of the use of electroanalytical sensors for the measurement of carbendazim.

2. Electroanalytical based sensors for carbendazim

Table 1 shows a diverse range of electrochemical sensors that have been developed for the measurement of carbendazim which exhibit linear ranges in a low concentration range and have been applied to the measurement of carbendazim within many different samples, such as fruits, vegetables, tea, rice, soil, honey, and various water samples, to name just a few. As can be seen within Table 1, we have grouped them based upon the electrode material used, where it can be observed that glassy carbon (GC) is a favourite substrate but also the use of carbon paste electrodes (CPE), boron-doped diamond (BDD), screen-printed carbon electrodes (SPCE), pencil electrodes and additive manufacturing (AM, 3D-printing) are reported. We have split our mini-review into the sensing of carbendazim and then the simultaneous detection of carbendazim with other analytes; we highlight the most interesting and promising reports.
Table 1 An overview of the sensors reported for the measurement of carbendazima
Electrode material Electrode modification Electroanalytical technique Dynamic range Limit of detection Real sample Reference
a Key: GC: glassy carbon; SWV: square-wave voltammetry; Pd NPs: palladium nanoparticles; DPV: differential pulse voltammetry; SWCNTs: single walled carbon nanotubes; MWCNTs: multi-walled carbon nanotubes; SWV: square-wave voltammetry; PC4-EDOT-COOH: poly(3,4-ethylenedioxythiophene); GO: graphene oxide; SPCE: screen-printed carbon electrode; MIP: molecular imprinted polymer; HKUST-1: [Cu3(BTC)2(H2O)3]n; CP: carbon paste; CNHs: carbon nanohorns; PEI: polyethyleneimine; GCPE: glassy carbon paste electrode; rGO: reduced graphene oxide; EIS: Electrochemical impedance spectroscopy; AP: 1-aminopyrene; ERNGO: electrochemically reduced nitrogen-doped graphene oxide; NGO: nitrogen doped graphene oxide; BIB: 1,4-bisimidazolebenzene; H2adp: adipic acid; GA: graphene aerogel; GCN: graphitic carbon nitride; GCN: graphitic carbon nitride; LDH: layered double-hydroxide; Ru: ruthenium; Asp: aspartic acid; Arg: arginine; GQD: graphene quantum dots; NPC: nano porous carbon; CPE: carbon paste electrode.
GC Sodium montmorillonite clay DPV 0.955–95.5 μM 5 ng mL−1 Soil and water 62
GC Polypyrrole SWV 5–500 ng mL−1 5 ng mL−1 Soil and water 63
GC MWCNTs/polymeric methyl red film LSV 0.2–10 μM 9.0 nM NA 64
GC ZnFe2O4/SWCNTs DPV 0.5–100 μM 0.09 μM Apple, tomato, leek, paddy and sea water 57
GC Functionalized MWCNTs DPV 0.5–2.6 μM 0.5 μM Soil and water 65
GC PC4-EDOT-COOH DPV 0.02–10 μM 3.5 nM Paddy water and commercial juice 66
GC Cyclodextrin–graphene nanosheets DPV 5 nM–0.4 μM 2 nM Water 67
GC SiO2/MWCNTs SWV 0.2–4.0 μM 0.056 μM Orange juice 68
GC MWCNTs SWV 0.256–3.11 μM 0.054 μM River water 69
GC β-cyclodextrin functionalized carbon nanosheets@carbon nanotubes DPV 0.03–30 μM 9.4 nM Apple juice 28
GC Fullerene/MWCNT/Nafion SWV 20–350 nM 17 nM Soil 70
GC MWCNTs-COOH DPV 0.3–20 μM 0.06 μM Cabbage, cucumber and potato 71
GC GO-MWCNTs DPV 10 nM–4 μM 5 nM Soil and tap water 72
GC Nano-porous gold DPV 3.0–120 μM 0.24 μM Waste and sea water 59
GC WO3·0.33H2O nanorods SWV 0.025–10 μM 22 nM Dam, pond, lake, RO and tap water and soil samples 73
GC Nd2O3 functionalized carbon nanofibers DPV 0.1–243 μM 4.3 nM Cabbage, brinjal, carrot, soil, drinking, tap and pond water 21
GC Fe-doped copper vanadate DPV 0.01–83.1 μM 5 nM Apple juice and soy milk 74
GC Mung bean-derived porous carbon@chitosan DPV 0.1–20 μM 20 nM Apple and tomato juices 75
GC N-CNHs/PEI-CNTs DPV 15 nM–70 μM 4 nM Tap and lake water 76
GC Ti3C2Tx (MXene) DPV 50 nM–100 μM 10.3 nM NA 37
GC MXene@AgNCs/NH2-MWCNTs DPV 0.3 nM–10 μM 0.1 nM Lettuces 38
GC Reduced holey graphene DPV 0.1–100 μM 13.14 nM River water and apple 77
GC GdO nanorods/GA DPV 0.01–75 μM 3 nM River, tap and pond water 78
GC [Cu(adp)(BIB)(H2O)]n DPV 0.1–10 μM 10 nM Tap water 79
GC Nitrogen-doped hollow carbon nanofibers DPV 0.1–25 μM 0.053 μM NA 80
GC Au nanorods@ZIF-8 DPV 0.0020–2.5 μM 0.33 nM Paddy water, paddy soil, cucumber, water, spinach, strawberry and milk 81
GC Ytterbium oxide nanorod/carbon nanofiber DPV 50 nM–3035 μM 6 nM Carrot, radish, lake and pond water 20
GC SnSe2 grafted N-doped carbon CV 0.002–139.38 μM 0.67 nM Water and vegetable extracts 22
GCPE Graphene nanosheets/amberlite resin DPV 8.36 nM–4.13 μM 3.1 nM Soil, banana, waste and ground water, human blood serum and urine 34
GC Sm2O3/rGO DPV 0.019–0.198; 0.29–421.3 μM 3 nM Orange juice, river and lake water and vegetables extract 35
GC Au@Pt/CNHs@RGO DPV 0.05–50 μM 1.64 nM Carrot and orange juice 82
GC LaVO4/h-BN Amperometry 0.001–89 μM 0.5 nM Water and food samples 83
GC Ru–Asp–Arg–GQD DPV 0.01–45 μM 0.004 μM Strawberry 84
GC Graphene oxide/graphitic carbon nitride SWV 0.008–0.1 μM 0.002 μM Dam, lake and tap water 85
GC Ni-doping nanoporous carbon-graphene composite DPV 0.04–10.0 μM 8.9 nM Pond water and juice samples 86
GC PtNi/3D-NPC DPV 0.5–30 μM 0.04 μM Peach juice and vegetable samples 87
GC Phosphorus-doped helical carbon nanofibers DPV 0.1–35 μM 0.038 μM Orange juice 88
GC Ti3C2Tx (MXene) and electrochemically reduced GO DPV 2.0 nM–10.0 μM 0.67 nM Cucumber and orange juice 37
GC ERNGO DPV 0.02–4.45 μM 5 nM Dendrobium[thin space (1/6-em)]candidum powder 36
GC MXene/carbon nanohorns/β-cyclodextrin-metal–organic frameworks DPV 3.0 nM–10.0 μM 1.0 nM Tomato 39
GC Ti2C MXene/Au–Ag nanoshuttles DPV 0.006–9.8 μM 0.002 μM Tea and rice samples 40
GC Ayous sawdust-CNT DPV 0.1–2.0 μM 0.04 μM Grefonsec complex 210WP 31
GC In2S3 nanotubes DPV 5–80 μM 0.75 μM Orange juice 30
GC MWCNT-COOH/black phosphorus SWV 9.0–1000 nM 4.0 nM Pear, lake and tap water 8
GC GO SWV 0.1–2.4 μM 13.8 nM Soil and water samples 89
GC NiCo-LDH DPV 0.006–14.1 μM 0.001 μM NA 90
GC Cobalt diselenide DPV 0.01–2.43 μM and 2.43–382.43 μM 1.69 nM Tomatoes and river water 91
GC MoS2/MWCNT DPV 0.04–100 μM 7.4 nM Tea and rice samples 92
GC MIP/CdMoO4/g–C3N4–15 DPV 10 pM–1 nM 2.5 pM Apple and orange juices 49
GC Vat violet 2R dye SWV 0.05–0.7 μM 1.7725 nM Soil and water 93
GC Nitrogen and sulfur-doped hollow Mo2C/C spheres/MIP CV 1 pM–8 nM 0.67 pM Grapes, apple, tomatoes, egg plant and cucumber 46
GC C-ZIF-67@Ni/MIP CV 0.4 pM–1 nM 0.135 pM Soil and water 45
BDD SWV 4.95–69 μM 1.6 μM Lemon juice samples 60
BDD SWV 0.5–15.0 μM 0.12 μM Natural water 61
BDD β-CD-MWCNTs SWV 0.672–11.2 μM 0.196 μM River water 94
Paper/SPCE DPV 0.5–10 μM 0.06 μM Apple and cabbage 51
SPCE Gd2(WO4)3 nanoflakes DPV 0.02–40 μM 0.005 μM Soil and rice 95
SPCE gloves DPV 0.1–1 μM 0.047 μM Apple, cabbage and orange juice 50
SPCE DPV 0.1–1 μM 60 nM Red and white wine 58
SPCE Aptamer/CNT DPV 1.0–50.0 nM 4.35 nM Tomato 96
SPCE Mo2C@NiMn-LDH DPV 0.001–232.14 μM 0.2 nM Water and vegetables 97
SPE Pt-doped NiCo2O4 nanograss DPV 0.03–140 μM 0.005 μM Tomato samples 12
SPE Biosynthesized Au Amperometry 0.05–25 μM 0.0029 μM Soil 16
SPCE Samarium molybdate DPV 0.01–22 μM 1.0 nM Pond and river water 18
SPE Biosynthesized Au Amperometry 0.05–50 μM 0.01 μM Vegetables 15
SPCE MWCNT SWV 40 nM–0.4 μM 14 nM Orange juice 29
SPCE Se-GCN DPV 0.099–346.6 μM 0.006 μM Orange juice and vegetables extract 14
Carbon fiber ultramicroelectrode DPV 0.1–2 μM 2.6 μM Soil 11
Porous carbon SWV 0.010–1.0 μM 0.0061 μM River water, lettuce, and soil samples 98
Graphite epoxy HKUST-1@MIPs DPV 0.01–50 μM 2 nM Tangerine, tomato, apple and cucumber juices 48
CPE DPV 14 nM–0.2 μM 5 nM River water and orange juice 99
CPE MWCNTs/Ca-ZnO SWV 0.01–0.45 μM 4.68 nM Soil and water 100
CPE Zeolite SWV 12.9–777.7 nM 1.5 nM Soy and cow milk 101
CPE MWCNTs/MIP SWV 0.1–50 nM 0.02 nM Agricultural, waste and tap water, urine and strawberries 47
CPE 2-Hydroxy ethylammonium acetate DPV 0.009–0.476 μM 1.69 nM Grapes 102
CPE Tricresyl phosphate DPV 0.5–10 μM 0.3 μM River water 103
CPE Silver nanoparticles modified fumed silica DPV 50 nM–3 μM 0.9 nM River water and tomato, orange and apple juice 104
CPE TiO2 SWV 0.01–0.3 μM 17 nM Soil and water samples 19
CPE Reduced graphene oxide DPV 30–900 nM 2.3 nM Orange juice, lettuce leaves, drinking and wastewater 33
Graphite pencil electrode Pd NPs SWV 0.20–1.6 μM 0.018 μM River water, synthetic urine 13
Additively manufactured SWV 0.5–40.0 μM 0.09 μM Honey 52


We first consider the electrochemical oxidation of carbendazim, where a few mechanisms have been proposed, for example the oxidation mechanism occurs via a two-proton and two-electron transfer process with many different scenarios are presented. One particular scenario involves a two-proton and two-electron transfer process that produces methyl carbamate and an unstable benzimidazole radical, which react completely to form a dimer. Furthermore, the resulting dimer can also be electrochemically reduced to give the corresponding alcohol.8 As shown within Fig. 1A, the electrochemical oxidation of carbendazim has been performed using a GC electrode where a well-defined oxidation peak (O1) is observed at +0.8 V (vs. SCE), and when the potential is returned, two reduction peaks are observed at +0.5 V (R1) and +0.3 V (R2), which are lower in intensities.9 During the second scan, a second oxidation peak appears at +0.3 V (O2), corresponding to the electrochemical oxidation of carbendazim. Also shown within Fig. 1B is the effect upon changing the pH which confirms that the electrochemical mechanism involves electrons and protons. In order to unambiguously determine the electrochemical mechanism of carbendazim researchers must use high-resolution accurate mass spectrometry coupled with the electrolysis of carbendazim.9 As shown in Fig. 1C, the main chemical species are observed, where the most feasible approach is that the electrochemical oxidation occurs via hydroxylation (forming COP4) via four electrons and four protons. This is backed up by the elegant work of Hernandez and co-workers who measured the number of electrons which were determined coulometrically at a controlled potential, with a global transfer of 4 electrons.10,11 Thus, the overall mechanism involves four electrons and four protons which shows a typical adsorption-controlled electrochemical process.


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Fig. 1 (A) Cyclic voltammograms of 1 mM carbendazim in H2O/MeCN 50[thin space (1/6-em)]:[thin space (1/6-em)]50 with 0.1 M ammonium acetate pH 7.4, scan rate 50 mV s−1, and (B) cyclic voltammograms of 1 mM carbendazim at three different pH (Basic, B; Neutral, N and Acidic, A). (C) the main chemical species observed after the electrochemical oxidation of carbendazim. Figures reproducible from ref. 9. Copyright 2021 Elsevier.

From inspection of Table 1, as expected, there is a range of nanoparticles that have been evaluated towards the sensing of carbendazim, such as platinum-doped nickel–cobalt oxide,12 selenium with palladium,13 graphitic carbon nitride,14 gold nanoparticles,15–17 samarium molybdate,18 titanium dioxide,19 platinum,12 ytterbium oxide,20 neodymium oxide,21 tin selenium22 and gadolinium sesquisulfide,23 to name just a few. Using nanoparticles have enhanced electron-conducting properties and increased the electrochemical area of electrodes, however, most reports never mentioned is the cost of implementing such sensors.24Table 1 also shows the use of carbon nanotubes (CNT), which are attractive due to their unique nano-geometry and are ideal templates to immobilize nanoparticles, allowing the construction of designed nanoarchitecture. They are also beneficial on their own, they provide intrinsic properties, which include, high surface area, unique physical properties and morphology, high electrical conductivity and depending on the availability of edge plane sites/defects, this can give rise to improved electroanalytical properties.25–27 Using CNTs has been the basis of β-cyclodextrin (β-CD) functionalized carbon nanosheets@carbon nanotubes (CNS@CNT) for the sensing of carbendazim.28 This sensor was fabricated through the use of ball-milling CNTs with sodium citrate for 2 h. The composite was pyrolyzed at 850 °C for 3 h at a heating range of 3 °C min−1 under an argon atmosphere producing CNS@CNT; see Fig. 2A. Next, the CNS@CNT was mixed with β-CD within dimethyl formamide (DMF) under ultrasound, and then drop-cast upon a GC electrode. This sensor was able to measure carbendazim over the range of 0.03 to 30 μM with a limit of detection (LOD) reported to be 9.4 nM. The CNS@CNT combined large surface area of CNS and excellent electrical conductivity of CNT are responsible for their electroanalytical output along with β-CD possessing excellent host-guest supramolecular recognition ability, which could improve the selective recognition and enrichment capability toward carbendazim.28 The sensor showed feasibility for the detection of carbendazim within spiked apple juice with recoveries of 97.1–99.4% reported. Other work has reported the use of a screen-printed carbon electrode modified with MWCNT and with the surfactant sodium dodecyl sulfate.29 The surfactant increased the sensor's response to carbendazim, where the enhancement is attributed to the surfactants capacity to adsorb on a rough surface, such as carbon-based electrodes, via hydrophobic interactions to generate a surfactant-adsorbed layer. The higher peak currents observed results from a better adsorption and electrostatic interactions between carbendazim and this surfactant-adsorbed layer, which leads to an increase of carbendazim available at the electrode surface through the sodium dodecyl sulphate adsorbed layer.29 This sensor provided a dynamic range of 40 nM to 0.4 μM with a LOD reported to be 14 nM. This sensor was validated through the measurement of carbendazim within spiked orange juice, which was compared to HPLC providing excellent recoveries. Work by Lan et al.30 has reported on the use of In2S3 nanotubes, which involved taking a In salt with terephthalic acid via a solvothermal reaction within DMF at 100 °C for 30 min. This produced a metal–organic framework (MOF), MIL-68(In), which has an average length of 8–10 μm and a diameter of 500 nm. Next, the MIL-68(In) and thioacetamide were added to a methanol solution which was kept at 160 °C for 3 h forming In2S3 hollow nanotubes. This sensor exhibits a dynamic range of 5–80 μM, which was measured within orange juice. Of interest, fine particles of Ayous sawdust were successfully modified by maleic anhydride to increase their accumulation capability towards carbendazim, which were mixed with carbon nanotubes to yield a conductive composite.31 This sensor was evaluated towards the detection of carbendazim within commercially available pesticide formulation (grefonsec complex 210WP, with carbendazim at 50 g per kg, as purchased from a local market) where a recovery of 90.3% was feasible.


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Fig. 2 (A) Fabrication of the of β-cyclodextrin (β-CD) functionalized carbon nanosheets@carbon nanotubes (CNS@CNT) sensor for the determination of carbendazim. Figure reproduced from ref. 28. Copyright 2022 Elsevier. (B) Scheme of carbendazim sensor preparation. SEM image (i) of etched Ti3C2Tx and delaminated (ii) Ti3C2Tx. (iii) TEM image, (iv) XRD pattern and (v) XPS survey of Ti3C2Tx. Figure reproduced from ref. 37. Copyright 2019 Elsevier. (C) The synthetic route of MXene@AgNCs/NH2-MWCNTs/GCE and its electrochemical application for the detection of carbendazim. Figure reproduced from ref. 38. Copyright 2021 Elsevier.

Related to CNTs is graphene, which is akin to an unrolled nanotube. It is a single layer of atoms arranged in a hexagonal lattice nanostructure.32 Pristine graphene is a poor electrochemical sensor because the majority of it comprises basal plane with a low amount of edge plane whereas, holey graphene, which has more assessable edge planes gives rise to improved electron transfer properties.32 Reduced graphene oxide (GO) has been used for the sensing of carbendazim where the GO was made by the Hummers' method. This exfoliated graphite, which is then reduced to GO via treatment with ascorbic acid. The GO was then mixed with biochar, which was obtained through pyrolysis of Eichhornia crassipes biomass at 400 °C. This sensor exhibited a low dynamic range of 30–900 nM with an impressive LOD of 2.3 nM and was then successfully applied to the sensing of carbendazim within spiked orange juice, lettuce leaves, drinking and wastewater.33 This has been extended to graphene nanosheets mixed with amberlite resin, which was shown to produce low nM ranges and was evaluated in spiked soil, banana, waste and ground water, blood serum and urine.34 Further work has developed a nanoparticle (30–40 nm) Sm2O3/rGO composite, which was synthesised through a facile hydrothermal route.35 This senor exhibits a dynamic range from 0.019–421.3 μM with a LOD of 3 nM and was evaluated toward the sensing of carbendazim within orange juice, river and lake water, and vegetable extract. Ya and co-workers36 have reported on the electrochemically reduced nitrogen-doped graphene oxide-modified glassy carbon electrode. The nitrogen-doped graphene oxide was synthesised by taking graphite powder mixed with sulfuric acid and sodium nitrate, with potassium permanganate added into the mixture over 2 h. Next melamine was added in, which was stirred for 30 °C for 12 h. Last, hydrogen peroxide was added and the mixture was sonicated for 30 min and then washed. The electrochemical reduction was performed by drop-casting the nitrogen-doped graphene oxide onto a GC electrode, which was scanned using cyclic voltammetry from 0 to −1.0 V at a scan rate of 25 mV s−1 for 20 cycles. The sensor was able to measure carbendazim over the range 5.0–850 μg L−1 with a LOD of 1.0 μg L−1. The author report that 5000-fold of sucrose, glucose, and fructose and a 1000-fold Na+, K+, Ca2+, Mg2+, Cu2+, Zn2+, Fe3+, Al3+, Cl, NO3, CO32−, and SO42− and 200-fold methyl parathion, ethyl parathion, vitamin B1, B2, C, and E, L-aspartic acid, glutamic acid, serine, thiophanate, thiophanate-methyl, thiabendazole, endodsulfan, ametryn, fenamiphos, and benomyl did not interfere with the sensing of carbendazim. Furthermore, the authors reported that pesticides containing 200-fold of methyl parathion, ethyl parathion, thiophanate, thiophanate-methyl, thiabendazole, endodsulfan, ametryn, fenamiphos, and benomyl did not affect the signal of carbendazim.36 This sensor was evaluated with the sensing of carbendazim within spiked Dendrobium candidum powder with recoveries of 90.5–94.8%. The benefits of this sensor are reported to be a large electroactive area and its good conductivity.36

Transition metal carbides and nitrides (MXenes) are a family of two-dimensional materials originated from the selective etching “A” layer element of MAX phases, where M generally represents an early transition metal (e.g., V, Nb, Ti, Mo), A stands for an A group element (Al or Si), and X refers to either carbon or nitrogen. MXenes are unique in that they possess a layered structure, consisting of transition metal carbide or nitride layers interleaved with functional groups, such as hydroxyl or other surface terminations. The versatility of MXenes arises from their tuneable properties, achieved by varying the transition metal, surface terminations, and layer thickness. This allows the researcher to tailor MXenes for specific applications by modifying their composition and structure. MXenes have properties such as high electrical conductivity, large specific surface areas, and notable electrochemical properties, thus MXenes have gained attention in the use of a carbendazim electroanalytical sensor. As shown within Fig. 2B, the overview of how Ti3C2Tx MXene was prepared.37 In summary, Ti3AlC2 is immersed into HF for 5 h providing etching, where after delamination was performed by sonication. Fig. 2B presents the SEM images of the etched, delaminated Ti3C2Tx MXene along with a TEM image showing that the sample has a perfect layered structure.37 X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS) are also shown (Fig. 2B), where the XRD pattern shows the characteristic (0 0 2) peak of the Ti3C2Tx (8.3°), which was shifted from 9.5° in Ti3AlC2, suggesting that the etching process expanded the d-spacing between layers. The XPS survey shows signals from Ti, C, O and F elements showing the existence of F and O, which implied that the surface of the Ti3C2Tx was terminated by –F and –O groups.37 Using differential pulse voltammetry (DPV), the sensor was able to measure carbendazim over the range of 50 nM to 100 μM with a LOD reported to be 10.3 nM. The authors explored the 50-folds of common ions including Ca2+, Na+, Pb2+, Zn2+, NO3, PO43− and SO42−, which showed no clear influence upon the sensing of carbendazim, while pesticides such as 10-folds of ametryn and fenamiphos also showed no clear influence. As shown within Fig. 2C, Ti3C2Tx MXene can be self-reduced via the addition of silver nitrate producing MXene@Ag nanoclusters.38 Next NH2-MWCNT are mixed with the MXene@Ag nanoclusters within DMF and sonicated for 30 min to obtain MXene@AgNCs/NH2-MWCNTs composites. This composite is then drop-cast onto a GC electrode which shows two peaks, one due to the electrochemical oxidation of silver, occurring at +0.12 V which can be used an internal reference and the second peak, +0.8 V, is due to the electrochemical oxidation of carbendazim. This sensor has a low LOD of 0.1 nM, and was shown to be successful in the measurement of carbendazim within lettuce samples with recoveries from 96.8 to 100.7% and RSD values less than 3.6%.38 The other uses of MXenes have been developed for the sensing of carbendazim within tomato,39 cucumber and orange juice,37 and tea and rice.40

Molecularly imprinted polymers (MIP) are bespoke synthetic recognition sites, designed for a specific target molecule and can have better, affinity and selectivity than their naturally occurring counterparts.41–44 To this end, a variety of MIP sensors have been reported for the sensitive levels of carbendazim.45–49Fig. 3A shows how a C-ZIF67@Ni/MIP has been made for the detection of carbendazim from 0.4 pM to 1 nM with a LOD of 0.135 pM.45 This was fabricated by taking cobalt and nickel salts with 2-methylimidazole dissolved into methanol and sonicating for 1 h. The product was centrifuged and washed, which was then placed into a vacuum furnace at 850 °C in an argon atmosphere at a heating rate of 5 °C min−1. This C-ZIF67@Ni was drop cast upon a GC electrode and was then utilised for the formation of an electropolymerized MIP. Utilising o-aminophenol as the functional monomer with carbendazim as the target, the system was electrochemically polymerised by cyclic voltammetry through scanning at 50 mV s−1 from 0 to +0.8 V for 60 cycles. The template, carbendazim was removed by cyclic voltammetric scanning for 8 cycles within 0.1 M NaOH from −1.0 to +1.0 V until steady redox peaks were generated using a redox probe. This C-ZIF67@Ni/MIP sensor was explored within spiked soil and river water samples which have recoveries of 98.2–105.9% and 99.2–105.9%, respectively.


image file: d3ay01053h-f3.tif
Fig. 3 (A) Schematic preparation process of MIP/C-ZIF67@Ni/GC; figure reproduced from ref. 45. Copyright 2022 Elsevier. (B) An overview of how a HKUST-1@MIP has been fabricated alongside DPV voltammetry. Figure reproduced from ref. 48. Copyright 2022 Elsevier. (C) Preparation protocol of CdMoO4/g-C3N4 nanocomposite and CAR imprinted electrochemical electrode. Figure reproduced from ref. 49. Copyright 2022 Elsevier. (D) Schematic preparation process of carbendazim-MIP/N, S–Mo2C/GC. Figure reproduced from ref. 46. Copyright 2019 Elsevier.

A graphite-epoxy electrode has been modified with MIP and a Cu-metal–organic framework.48 The framework, [Cu3(BTC)2(H2O)3]n (HKUST-1) was synthesized via a solvothermal method. The MIP was formed via polymerisation by adding HKUST-1 with carbendazim and methacrylic acid dissolved within chloroform and was stirred for 60 min. Next ethylene glycol dimethyacrylate as cross-linker, and 2,2′-azobisisobutyronitrile as initiator were added and polymerization was initiated in an oil bath at 60 °C for 12 h with magnetic stirring. In order to remove the template molecules, a Soxhlet system with methanol[thin space (1/6-em)]:[thin space (1/6-em)]chloroform mixture (9[thin space (1/6-em)]:[thin space (1/6-em)]1 v/v) was used for 48 h. Finally, the HKUST-1@MIP was dried at 40 °C for one hour under vacuum and stored in a desiccator for further use.48 This sensor displayed a dynamic range of 0.01 to 50 μM with a LOD of 2 nM, and was shown to measure carbendazim within spiked tangerine, tomato, apple and cucumber juices, which was validated against HPLC and showed that the HKUST-1@MIP sensor has practicability and effectiveness in the validation of real samples. Fig. 3C shows how a CdMoO4/g-C3N4 nanocomposite is fabricated via one-pot in situ hydrothermal approach.49 A MIP was produced via electrochemical polymerisation using pyrrole which was scanned for +0.3 to +1.2 V at a scan rate of 50 mV s−1. This sensor exhibited a low dynamic range of 10 pM to 1 nM with a LOD of 2.5 pM; this was exemplified in the measurement of spiked carbendazim within apple and orange juices. Fig. 3D overviews the development of a sensor that utilises nitrogen and sulphur-doped hollow Mo2C/C spheres (N, S-Mo2C) and MIP for the sensing of carbendazim.46 The fabrication of N, S-Mo2C involved nitrogen and sulphur-doped molybdenum-polydopamine hollow spheres (N, S-MPD), which was synthesized and then carbonized in high temperature; see Fig. 4D for further details. The MIP was synthesised via electropolymerization using o-phenylenediamine as the functional monomer in the presence of carbendazim. The dynamic range of the sensor was from 1 pM to 8 nM with a LOD of 0.67 pM. Real sample analysis was performed of carbendazim in spiked fruits (∼10−11M levels) and vegetables with the recoveries varying from 98.40 to 100.08% for grape, 95.45 to 97.74% for apple, 97.5 to 100.8% for tomatoes, 99.64 to 99.80% for eggplant and 95.20 to 98.19% for cucumber.


image file: d3ay01053h-f4.tif
Fig. 4 (A) An overview of paper sensors allowed pesticide sensing on the skin of fruits and vegetables. (B) Differential pulse voltammograms for (a) SPCE/K-n and (b) SPCE/K-a at different concentrations of carbendazim (0.5, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10 μM) and in the absence of carbendazim (grey line) in 0.1 M PB solution (pH 7.0). (c) Analytical curves for carbendazim on SPCE/K-n, SPCE/K-a, and SPCE/K. (d) Found concentrations of carbendazim on the surface of apple and cabbage with SPCE/K-a sensor. (e and f) Setup used in detecting carbendazim on apple and cabbage. Photos of the sensor and connector are also shown. Figures reproduced from ref. 51. Copyright 2023 Elsevier.

A novel approach is the use of sensors that can be applied directly to the measurement of carbendazim50,51 avoiding the sample pre-treatment that is commonly required; see Fig. 4A. For example, Martins and co-workers have developed screen-printed carbon electrodes printed upon parchment (SPCE/P) and Kraft (SPCE/K) paper. Each electrode was electrochemically treated within acid (SPCE/P-a and SPCE/K-a) and with basic (SPCE/K-b and SPCE/P-b) or neutral medium (SPCE/K-n and SPCE/P-n), which involved cyclic voltammetry within the chosen medium from −2.5 V to +2.5 V five times. The authors reported that the Kraft paper gives rise to a larger electrode surface and with less resistance. As shown within Fig. 4B, the DPV is shown for SPCE/K-n and SPCE/K-a at different concentrations of carbendazim, which are compared to just SPCE/K where the SPCE/K-a. The provided a superior response due to the carboxylic groups formed during the activation; this sensor was able to detect carbendazim between 0.5 and 10 μM, with a detection limit of 0.06 μM. The authors demonstrated the sensing of carbendazim upon the surface of apple and cabbage, finding that concentrations found varied between 0.7 and 1.1 μM for apples, and from 0.3 to 1.3 μM for cabbages. To investigate whether organic substances on the surface of the apple or cabbage could interfere with the detection of carbendazim, the reliability of the SPCE/K-a sensor was evaluated through recovery studies using a 0.1 M PB solution (pH 7) that had been exposed to apple or cabbage for 24 h51 The values obtained were compared with those from the standard HPLC method where the recoveries with SPCE/K-a sensor ranged between 96 and 100.8% for apples and from 101.5 to 104.0% for cabbages, being equivalent to those from HPLC. This work shows a simple way to measure carbendazim in the skin of both types of samples, which is a demonstration of non-destructive, on-site monitoring of pesticides.51

Last, the use of additive manufactured (AM) sensors has been reported for the sensing of carbendazim.52 The use of additive manufacturing allows one to provide low-cost, scalable, and the ability to obtain varied shapes and designs for fluidic platforms.53 Recently, researchers have begun to design and produce their own conductive filament utilising different loadings and nanomaterials compared to the commercially available options.54–56 Silva et al.52 took this approach and have reported the design of a fully AM microfluidic platform coupled with a paper-based distribution channel for the sensing of carbendazim within in honey samples. As shown within Fig. 5A, a mixture of PLA and carbon black (28.5% wt) is extruded into a filament and fed into a 3D printer, which produces the conductive parts of the cell alongside a non-conductive PLA filament. These devices were printed on a rectangular mould with a width of 2 cm, a height of 10 cm, and a thickness of 1.5 cm, with the mould for the allocation of the filter paper responsible for the fluidic channel to the solution. In addition, the microfluidic system contained a mould for fitting the three electrodes, working, counter, and pseudo reference, so that they can be placed on the fluidic paper channel and a circular waste reservoir with a diameter of 3.5 cm at the end of the fluidic paper. As shown within Fig. 5B, the response of treated and untreated sensors is shown, where the best response is due to the treated sensor which is obtained by potential cycling within sodium hydroxide alongside the calibration plot (Fig. 6C) recorded within a pH 4 buffer. This sensor exhibited a dynamic range of 0.5–40 μM with a LOD of 0.09 μM. This sensor was evaluated within spiked wild and Jatai honey, which was diluted 1[thin space (1/6-em)]:[thin space (1/6-em)]1 with pH 4 buffer and exhibited 92.4–108.8% recoveries.52


image file: d3ay01053h-f5.tif
Fig. 5 (A) Illustration of a summary scheme of all the steps involved in this work. (top image) Production of conductive filaments with using a nanocarbon/PLA feedstocks, additive manufacturing of the microfluidic device based on non-conductive PLA filaments, and electrochemical sensors based on nanocarbon/PLA feedstocks, (middle image) structural scheme of the complete microfluidic device, sensors, fluidic paper, and base, with their respective dimensions. (bottom image) Analysis of carbendazim in honey from a portable potentiostat and microfluidic device using only a 30 μL drop. (B) Amperograms recorded for increasing concentrations of FcMeOH (0.01, 0.05, 0.1, 0.5, and 1.0 μM). Working potential: +0.1 V with the calibration plot (C). Reproduced from ref. 52. Copyright 2023 Elsevier.

image file: d3ay01053h-f6.tif
Fig. 6 (A) An overview of palladium nanoparticles supported upon a graphite pencil electrode direct to the sensing of direct yellow 50, tryptophan, carbendazim and caffeine. Figure reproduced from ref. 13. Copyright 2021 Elsevier. (B) An overview of the fabrication of ZnFe2O4/SWCNTs nanohybrid. Figure reproduced from ref. 57. Copyright 2017 American Chemical Society. (C) An overview of screen-printed electrodes are used for the simultaneous detection of quercetin and carbendazim. Figure reproduced from ref. 58. Copyright 2020 Wiley. (D) The detection of methyl parathion and carbendazim by the nano-porous gold electrode in HAC-NaAC solution (100 mM, pH 4.0). (i) The independent detection of methyl parathion within the range from 0.5 to 150 μM; (ii) the independent detection of carbendazim within the range from 3 to 120 μM; (iii) the selective detection of methyl parathionP in the presence of 20 μM carbendazim; (iv) the selective detection of carbendazim in the presence of 20 μM methyl parathion. The insert profiles show the calibration curves between the peak current density and the target pesticide concentration. Figure reproduced from ref. 59. Copyright 2019 Elsevier.

3. Electroanalytical based sensors for the simultaneous detection of carbendazim with other analytes

Wong and co-workers13 reported the simultaneous detections of direct yellow 50, tryptophan, carbendazim, and caffeine in river water and synthetic urine samples using palladium nanoparticles (250–450 nm) supported upon a graphite pencil electrode (see Fig. 6A). All peaks are well resolved allowing them to be measured simultaneously given the underlying relevance and effects of the aforementioned substances, coupled with the fact that they are consumed and discarded in the environment.13 The dynamic range for carbendazim was over the range 0.2–1.5 μM with a LOD reported to be 0.018 μM and was compared to a spectrophotometric method for all analytes.

The successful sensing of carbendazim and thiabendazole has been realized using a ZnFe2O4/SWCNTs nanohybrid (diameter ∼100 nm).57 As shown within Fig. 6B, the ZnFe2O4/SWCNTs nanohybrid was prepared via a facile one-step hydrothermal method, which involved iron and zinc salts with urea dissolved into ethanol where SWCNTs were added and stirred for 10 minutes. This was then poured into a Teflon-lined stainless-steel autoclave and was heated at 180 °C for 12 hours. After being washed, these were drop cast upon a GC electrode. The analytes are well-resolved, which benefited from the presence of CTAB, providing a dynamic range of 0.5–100.0 μM, with a LOD reported to be 0.09 μM. The author commented upon the signal enhancement: (i) there is a beneficial effect of dispersing ZnFe2O4 on SWCNTs and there are synergetic effects in the ZnFe2O4/SWCNTs composites, which are well dispersed on the surfaces of SWCNTs; (ii) the significant enhancements in the electrochemical response of carbendazim and thiabendazole could be ascribed to the large increase in the electroactive sites of the ZnFe2O4/SWCNTs electrode; (iii) ZnFe2O4/SWCNTs have excellent conductivity, which may be attributed to the strong synergistic effect between the ZnFe2O4 and SWCNTs, further accelerating the direct electron transfer.57 The ZnFe2O4/SWCNTs nanohybrid sensor was successfully applied to the determination of CBZ and TBZ in the apple, tomato, leek, paddy and seawater.

As shown within Fig. 6C, screen-printed carbon electrodes were utilized to detect excessive concentrations of naturally occurring polyphenols and pesticide residues, namely the flavonoid quercetin and the pesticide carbendazim simultaneously in wine samples with a LOD of 60 nM reported for carbendazim.58 The authors found that the use of an electrochemical pre-treatment through chronoamperometric experiments at a potential fixed of +1.2 V for 5 min in a saturated solution of sodium bicarbonate solution eliminated residues and impurities from the homemade carbon ink comprising graphite and alkyd resin eventually deposited on the electrodes.58 The authors applied their sensor to the simultaneous detection of quercetin and carbendazim within white and red white observing 90–114% recoveries. Other notable work has been reported by Gao et al.,59 namely the use of nano-porous gold deposited upon a GC electrode for the simultaneous sensing of methyl parathion and carbendazim which exhibited a large peak potential of +0.7 V between the two analytes. The nano-porous gold was prepared by chemical etching of Au/Ag binary alloy (50% Au, 50% Ag by weight) in concentrated nitric acid under free corrosion for 30 °C for 30 min. To remove residual nitric acid, the nano-porous gold was washed using ultrapure water until the pH of the ultrapure water was neutral. The treated nano-porous film was drop cast onto the surface of GC where Nafion® was then applied. This film possesses a nano-porous network structure with uniform pores ∼35 nm in diameter and it has 100 nm thickness. The sensor measured 3.0 to 120 μM with a LOD reported to be 0.24 μM. for carbendazim. The authors explored the simultaneous detection of methyl parathion and carbendazim with interfering inorganic ions, both cations (Mg2+, K+, Na+, and NH4+) and aqueous anions (SO42−, PO43−, CO32−, and NO3). The concentrations of these inorganic ions were 100 times higher than those of methyl parathion and carbendazim, and no interferences in the peak current densities of methyl parathion and carbendazim were noted, with the changes of peak current density were all below 3.51%. Additionally, the key interfering pesticides added were thiabendazole, methomyl, chlorpyrifos, tebuconazole, and benomyl, where their concentrations of the pesticides were two times higher than those of methyl parathion and carbendazim which didn't interfere. Last, the sensor was shown for the simultaneous detection of methyl parathion and carbendazim within spiked waste and seawater.

A useful approach is a development of screen-printing onto the fingers of rubber gloves that allows the sensing of carbendazim, diuron, paraquat and fenitrothion via simply touching with the finger onto apple, cabbage, and in orange juice.50 As shown within Fig. 7A, three sensors are screen-printed onto three separate fingers, where one sensor is a pre-treated screen-printed carbon electrode while the other two are coated with carbon spherical shells (CSS) or with printed carbon nanoballs (PCNB).


image file: d3ay01053h-f7.tif
Fig. 7 (A): (a) Details of finger sensor design with a complete electrochemical system: auxiliary, reference and working electrodes. The connection between electrodes and potentiostat was made via flexible conductive wires for on-site detection. (b) Image of the real screen-printed sensing glove. (c–e) Schematic representation of the side views of CSS, PCNB and pre-treated sensing layers for index, middle and ring fingers, respectively. The electrochemical signatures and corresponding analytical curves obtained with index, middle and ring fingers of the glove-embedded sensors are shown in (f) through (h). (f) DP voltammograms for carbendazim detection from 0.1–1 μM; (g) DP voltammograms for diuron detection from 0.1–10 μM; (h) SW voltammograms for paraquat detection from 0.1–1 μM and fenitrothion detection from 0.1–10 μM. Conditions for detection: 0.1 M phosphate buffer solution, pH 7.0. (i) LSP plot for all pesticides measured with differential pulse and square wave voltammetry, where each voltammogram was converted into a coloured dot on the plot. The black bar is only a guide to measure distances between data points. The silhouette coefficient is 0.79. (B) Photos of actual measuring conditions with the wearable glove-embedded sensors on food samples of cabbage in (a), apple in (b) and orange juice in (c). Each photo is accompanied with the corresponding electrochemical screening of DPV signature and LSP plot for carbendazim and diuron made with IF/CSS and MF/PCNB, and SWV signature of paraquat and fenitrothion made with RF/pre-treated, also including the LSP plot. Figures reproduced from ref. 50. Copyright 2021 Elsevier.

The pre-treatment involved cyclic voltammetry within 0.5 M sulfuric acid between −2.5 to +2.5 V at a scan rate of 100 mV s−1 for two cycles. This approach was adopted since the simultaneous detection of carbendazim, diuron, paraquat, and fenitrothion using a single sensor was not suitable due to overlapping and poor definition of the oxidation peaks, and small current signals. Although, there is no data showing how the researchers connected the sensor to a potentiostat nor how to define the working electrode area. That said, as shown within Fig. 7A, the calibration plots are shown which were measured over the range of 0.1–1 μM with a LOD of 0.047 μM reported. As shown within Fig. 7B, the sensing was achieved on the skins of cabbages and apples where a drop of 500 μL of phosphate buffer solution (pH = 7) where a standard addition protocol was reported for the spiked value for carbendazim, diuron, paraquat and fenitrothion. The multidimensional projection technique least square projection again led to the highest discrimination capability of the pesticides with an average silhouette coefficient of 0.88 and the recoveries varied between 90 and 110%.50 Such sensors are robust against flexion in multiple times and with their high selectivity, sensitivity, easy operation, and rapid pesticide detection, these glove-embedded sensors may also be employed in on-site analysis of other chemical threats and be extended to further environmental and water samples. Other work has reported the use of boron-doped diamond for the simultaneous sensing of carbendazim and fenamiphos, within lemon juice60 and natural water.61

4. Conclusion and outlook

Carbendazim is a broad-spectrum systemic fungicide that is used to control various fungal diseases in agriculture, horticulture, and forestry. It is regulated in terms of maximum residue limits (MRLs) in various food products to ensure consumer safety. MRLs are the maximum concentrations of pesticide residues legally allowed in, or on food products. As such the development of electroanalytical sensing platforms is of interest. We collate the reports of the electroanalytical determination of carbendazim, categorising them in terms of the base electrode material, with the majority of reports utilising glassy carbon electrodes. Interesting works have been highlighted that use various electrode modifiers, including nanoparticles, MXenes and MIPs, while the use of MIPs are preferred as they provide selectivity when other analytes will be presented when detection carbendazim in real samples. The use of these electroanalytical systems has been shown to allow measurement of carbendazim, in some cases simultaneously with other analytes and applied in situ on food products. These systems must continue to be benchmarked against classical laboratory techniques to ensure confidence in the system and allow for products to penetrate the commercial market.

Author contributions

RDC: original draft, writing – review & editing. PSA: writing – review & editing; CEB: conceptualization, methodology, resources, formal analysis, writing – original draft, validation, writing – review & editing.

Conflicts of interest

There are no conflicts to declare.

References

  1. S.-Y. Wang, X.-C. Shi, F.-Q. Liu and P. Laborda, J. Agric. Food Chem., 2020, 68, 11880–11894 CrossRef CAS PubMed .
  2. S. Singh, N. Singh, V. Kumar, S. Datta, A. B. Wani, D. Singh, K. Singh and J. Singh, Environ. Chem. Lett., 2016, 14, 317–329 CrossRef CAS .
  3. I. Suresh, S. Selvaraj, N. Nesakumar, J. B. B. Rayappan and A. J. Kulandaiswamy, Trends Environ. Anal. Chem., 2021, 31, e00137 CrossRef CAS .
  4. Q. Wu, Y. Li, C. Wang, Z. Liu, X. Zang, X. Zhou and Z. Wang, Anal. Chim. Acta, 2009, 638, 139–145 CrossRef CAS PubMed .
  5. R. Paranthaman, A. Sudha and S. Kumaravel, Am. J. Biochem. Biotechnol., 2012, 8, 1–6 CrossRef CAS .
  6. H. S. Lee, M. M. Rahman, H. S. Chung, H. Kabir, K.-S. Yoon, S.-K. Cho, A. Abd El-Aty and J.-H. Shim, J. Chromatogr. B, 2018, 1095, 1–7 CrossRef CAS PubMed .
  7. H. Liu, Y. Wang, R. Fu, J. Zhou, Y. Liu, Q. Zhao, J. Yao, Y. Cui, C. Wang and B. Jiao, Anal. Methods, 2021, 13, 4256–4265 RSC .
  8. X. Liao, X. Luo, Y. Li, Y. Zhou, Q. Liang, K. Feng, M. B. Camarada and J. Xiong, Microchem. J., 2023, 190, 108671 CrossRef CAS .
  9. R. C. T. Temgoua, U. Bussy, D. Alvarez-Dorta, N. Galland, J. Hémez, C. Thobie-Gautier, I. K. Tonlé and M. Boujtita, Talanta, 2021, 221, 121448 CrossRef CAS PubMed .
  10. P. Hernandez, Y. Ballesteros, F. Galan and L. Hernandez, Electroanalysis, 1996, 8, 941–946 CrossRef CAS .
  11. M. J. González de la Huebra, P. Hernández, O. Nieto, Y. Ballesteros and L. Hernández, Fresenius. J. Anal. Chem., 2000, 367, 474–478 CrossRef PubMed .
  12. H. Mahmoudi-Moghaddam, H. Akbari Javar and Z. Garkani-Nejad, Food Chem., 2022, 383, 132398 CrossRef CAS PubMed .
  13. A. Wong, A. M. Santos, R. da Fonseca Alves, F. C. Vicentini, O. Fatibello-Filho and M. Del Pilar Taboada Sotomayor, Talanta, 2021, 222, 121539 CrossRef CAS PubMed .
  14. N. Nataraj, T.-W. Chen, M. Akilarasan, S. M. Chen, A. A. Al-Ghamdi and M. S. Elshikh, Chemosphere, 2022, 302, 134765 CrossRef CAS PubMed .
  15. W. Wang, F. Yao, D. Wang, X. Zhou, X. Wang, C. Zhao, M. Fang and J. Cai, Int. J. Electrochem. Sci., 2017, 12, 842–851 CrossRef CAS .
  16. L. Li and Z. Zhang, Int. J. Electrochem. Sci., 2016, 11, 4550–4559 CrossRef CAS .
  17. C. Zhu, D. Liu, Z. Chen, L. Li and T. You, J. Colloid Interface Sci., 2019, 546, 92–100 CrossRef CAS PubMed .
  18. T. Kokulnathan, E. Ashok Kumar and T.-J. Wang, Microchem. J., 2020, 158, 105227 CrossRef CAS .
  19. L. Killedar, D. Ilager, S. J. Malode and N. P. Shetti, Mater. Chem. Phys., 2022, 285, 126131 CrossRef CAS .
  20. A. Krishnapandi, S. M. Babulal, S.-M. Chen, S. Palanisamy, S.-C. Kim and M. Chiesa, J. Environ. Chem. Eng., 2023, 11, 109059 CrossRef CAS .
  21. S. Palanisamy, K. Alagumalai, M. Chiesa and S.-C. Kim, Environ. Res., 2023, 219, 115140 CrossRef CAS PubMed .
  22. P. Santhoshkumar, B. Thirumalraj, B. Sriram, K. Karuppasamy, D. Vikraman, A. Kathalingam, H. Choe and H.-S. Kim, Ceram. Int., 2022, 48, 16023–16032 CrossRef CAS .
  23. K. Y. Kumar, M. Prashanth, L. Parashuram, B. Palanivel, F. A. Alharti, B.-H. Jeon and M. Raghu, Chemosphere, 2022, 296, 134030 CrossRef PubMed .
  24. R. D. Crapnell and C. E. Banks, Microchim. Acta, 2021, 188, 1–23 CrossRef PubMed .
  25. X. Ji, R. O. Kadara, J. Krussma, Q. Chen and C. E. Banks, Electroanalysis, 2010, 22, 7–19 CrossRef CAS .
  26. W. Wang, F. Lu, L. M. Veca, M. J. Meziani, X. Wang, L. Cao, L. Gu and Y.-P. Sun, in Encyclopedia of Inorganic and Bioinorganic Chemistry, 2012,  DOI:10.1002/9781119951438.eibc0320 .
  27. C. Kalinke, R. D. Crapnell, E. Sigley, M. J. Whittingham, P. R. de Oliveira, L. C. Brazaca, B. C. Janegitz, J. A. Bonacin and C. E. Banks, Chem. Eng. J., 2023, 467, 143513 CrossRef CAS .
  28. R. Liu, B. Li, F. Li, V. Dubovyk, Y. Chang, D. Li, K. Ding, Q. Ran, G. Wang and H. Zhao, Food Chem., 2022, 384, 132573 CrossRef CAS PubMed .
  29. J. M. Petroni, B. G. Lucca, D. K. Fogliato and V. S. Ferreira, Electroanalysis, 2016, 28, 1362–1369 CrossRef CAS .
  30. L. Lan, B. Li, X. Chen, Y. Gao and X. Kuang, ChemNanoMat, 2023, 9, e202200522 CrossRef CAS .
  31. G. A. Fozing Mekeuo, C. Despas, C. Péguy Nanseu-Njiki, A. Walcarius and E. Ngameni, Electroanalysis, 2022, 34, 667–676 CrossRef CAS .
  32. D. A. C. Brownson, D. K. Kampouris and C. E. Banks, Chem. Soc. Rev., 2012, 41, 6944–6976 RSC .
  33. M. V. S. Sant'Anna, S. W. M. M. Carvalho, A. Gevaerd, J. O. S. Silva, E. Santos, I. S. C. Carregosa, A. Wisniewski, L. H. Marcolino-Junior, M. F. Bergamini and E. M. Sussuchi, Talanta, 2020, 220, 121334 CrossRef PubMed .
  34. N. G. Khare, R. A. Dar and A. K. Srivastava, Electroanalysis, 2015, 27, 1915–1924 CrossRef CAS .
  35. T. Sakthi Priya, N. Nataraj, T.-W. Chen, S.-M. Chen and T. Kokulnathan, Chemosphere, 2022, 307, 135711 CrossRef CAS PubMed .
  36. Y. Ya, C. Jiang, L. Mo, T. Li, L. Xie, J. He, L. Tang, D. Ning and F. Yan, Food Anal. Methods, 2017, 10, 1479–1487 CrossRef .
  37. D. Wu, M. Wu, J. Yang, H. Zhang, K. Xie, C.-T. Lin, A. Yu, J. Yu and L. Fu, Mater. Lett., 2019, 236, 412–415 CrossRef CAS .
  38. W. Zhong, F. Gao, J. Zou, S. Liu, M. Li, Y. Gao, Y. Yu, X. Wang and L. Lu, Food Chem., 2021, 360, 130006 CrossRef CAS PubMed .
  39. X. Tu, F. Gao, X. Ma, J. Zou, Y. Yu, M. Li, F. Qu, X. Huang and L. Lu, J. Hazard. Mater., 2020, 396, 122776 CrossRef CAS PubMed .
  40. X. Zhu, P. Liu, T. Xue, Y. Ge, S. Ai, Y. Sheng, R. Wu, L. Xu, K. Tang and Y. Wen, Ceram. Int., 2021, 47, 173–184 CrossRef CAS .
  41. O. Jamieson, F. Mecozzi, R. D. Crapnell, W. Battell, A. Hudson, K. Novakovic, A. Sachdeva, F. Canfarotta, C. Herdes, C. E. Banks, H. Snyder and M. Peeters, Phys. Status Solidi A, 2021, 218, 2100021 CrossRef CAS .
  42. J. McClements, L. Bar, P. Singla, F. Canfarotta, A. Thomson, J. Czulak, R. E. Johnson, R. D. Crapnell, C. E. Banks, B. Payne, S. Seyedin, P. Losada-Pérez and M. Peeters, ACS Sens., 2022, 7, 1122–1131 CrossRef CAS PubMed .
  43. R.-N. Chen, S.-H. Kang, J. Li, L.-N. Lu, X.-P. Luo and L. Wu, Anal. Methods, 2021, 13, 4538–4556 RSC .
  44. R. D. Crapnell, N. C. Dempsey-Hibbert, M. Peeters, A. Tridente and C. E. Banks, Talanta Open, 2020, 2, 100018 CrossRef .
  45. Y. Li, X. Chen, H. Ren, X. Li, S. Chen and B.-C. Ye, Talanta, 2022, 237, 122909 CrossRef CAS PubMed .
  46. S. Feng, Y. Li, R. Zhang and Y. Li, Biosens. Bioelectron., 2019, 142, 111491 CrossRef CAS PubMed .
  47. A. Kasaeinasab, H. A. Mahabadi, S. J. Shahtaheri, F. Faridbod, M. R. Ganjali and F. Mesgari, PLoS One, 2023, 18, e0279816 CrossRef CAS PubMed .
  48. F. Beigmoradi, M. Rohani Moghadam, A. Bazmandegan-Shamili and H. R. Masoodi, Microchem. J., 2022, 179, 107633 CrossRef CAS .
  49. M. L. Yola, Chemosphere, 2022, 301, 134766 CrossRef CAS PubMed .
  50. P. A. Raymundo-Pereira, N. O. Gomes, F. M. Shimizu, S. A. S. Machado and O. N. Oliveira, Chem. Eng. J., 2021, 408, 127279 CrossRef CAS .
  51. T. S. Martins, S. A. S. Machado, O. N. Oliveira and J. L. Bott-Neto, Food Chem., 2023, 410, 135429 CrossRef CAS PubMed .
  52. L. R. G. Silva, J. S. Stefano, R. D. Crapnell, C. E. Banks and B. C. Janegitz, Talanta Open, 2023, 7, 100213 CrossRef .
  53. M. J. Whittingham, R. D. Crapnell, E. J. Rothwell, N. J. Hurst and C. E. Banks, Talanta Open, 2021, 4, 100051 CrossRef .
  54. R. D. Crapnell, E. Sigley, R. J. Williams, T. Brine, A. Garcia-Miranda Ferrari, C. Kalinke, B. C. Janegitz, J. A. Bonacin and C. E. Banks, ACS Sustain. Chem. Eng., 2023, 11(24), 9183–9193 CrossRef CAS PubMed .
  55. E. Sigley, C. Kalinke, R. D. Crapnell, M. J. Whittingham, R. J. Williams, E. M. Keefe, B. C. Janegitz, J. A. Bonacin and C. E. Banks, ACS Sustain. Chem. Eng., 2023, 11, 2978–2988 CrossRef CAS PubMed .
  56. P. Wuamprakhon, R. D. Crapnell, E. Sigley, N. J. Hurst, R. J. Williams, M. Sawangphruk, E. M. Keefe and C. E. Banks, Adv. Sustainable Syst., 2023, 7, 2200407 CrossRef CAS .
  57. Y. Dong, L. Yang and L. Zhang, J. Agric. Food Chem., 2017, 65, 727–736 CrossRef CAS PubMed .
  58. P. A. Raymundo-Pereira, N. O. Gomes, J. H. S. Carvalho, S. A. S. Machado, O. N. Oliveira Jr and B. C. Janegitz, ChemElectroChem, 2020, 7, 3074–3081 CrossRef CAS .
  59. X. Gao, Y. Gao, C. Bian, H. Ma and H. Liu, Electrochim. Acta, 2019, 310, 78–85 CrossRef CAS .
  60. T. Lima, H. T. D. Silva, G. Labuto, F. R. Simões and L. Codognoto, Electroanalysis, 2016, 28, 817–822 CrossRef CAS .
  61. R. F. França, H. P. M. de Oliveira, V. A. Pedrosa and L. Codognoto, Diamond Relat. Mater., 2012, 27–28, 54–59 CrossRef .
  62. P. Manisankar, G. Selvanathan and C. Vedhi, Appl. Clay Sci., 2005, 29, 249–257 CrossRef CAS .
  63. P. Manisankar, G. Selvanathan and C. Vedhi, Int. J. Environ. Anal. Chem., 2005, 85, 409–422 CrossRef CAS .
  64. J. Li and Y. Chi, Pestic. Biochem. Physiol., 2009, 93, 101–104 CrossRef CAS .
  65. P. L. A. Sundari, S. P. Palaniappan and P. Manisankar, Anal. Lett., 2010, 43, 1457–1470 CrossRef CAS .
  66. Y. Yao, Y. Wen, L. Zhang, Z. Wang, H. Zhang and J. Xu, Anal. Chim. Acta, 2014, 831, 38–49 CrossRef CAS PubMed .
  67. Y. Guo, S. Guo, J. Li, E. Wang and S. Dong, Talanta, 2011, 84, 60–64 CrossRef CAS PubMed .
  68. C. A. Razzino, L. F. Sgobbi, T. C. Canevari, J. Cancino and S. A. S. Machado, Food Chem., 2015, 170, 360–365 CrossRef CAS PubMed .
  69. W. F. Ribeiro, T. M. G. Selva, I. C. Lopes, E. C. S. Coelho, S. G. Lemos, F. Caxico de Abreu, V. Bernardo do Nascimento and M. C. Ugulino de Araújo, Anal. Methods, 2011, 3, 1202–1206 RSC .
  70. D. N. Teadoum, S. K. Noumbo, K. T. Arnaud, T. T. Ranil, A. D. Mvondo Zé and I. K. Tonle, Int. J. Electrochem., 2016, 2016, 7839708 Search PubMed .
  71. L. Fang, W. Xinfa, V. I. Dubovyk and L. Runqiang, Bulletin of Sumy National Agrarian University. The series: Agronomy and Biology, 2022, 46, 76–82 CrossRef .
  72. S. Luo, Y. Wu and H. Gou, Ionics, 2013, 19, 673–680 CrossRef CAS .
  73. D. Ilager, H. Seo, S. S. Kalanur, N. P. Shetti and T. M. Aminabhavi, J. Environ. Manage., 2021, 279, 111611 CrossRef CAS PubMed .
  74. A. Yamuna, T.-W. Chen, S.-M. Chen and T.-Y. Jiang, Microchim. Acta, 2021, 188, 277 CrossRef CAS PubMed .
  75. R. Liu, Y. Chang, F. Li, V. Dubovyk, D. Li, Q. Ran and H. Zhao, Food Chem., 2022, 392, 133301 CrossRef CAS PubMed .
  76. X. Chen, W. Li, C. Lu, J. Chu, R. Lin, P. Wang, G. Xie, Q. Gu, D. Wu and B. Chu, Sci. Total Environ., 2022, 851, 158324 CrossRef CAS PubMed .
  77. Y. Yang, Z. Chen, Q. Wang, Q. Wang and Y. Zhang, Phys. Status Solidi A, 2022, 219, 2100412 CrossRef CAS .
  78. T. Kokulnathan and S.-M. Chen, ACS Appl. Mater. Interfaces, 2020, 12, 16216–16226 CrossRef CAS PubMed .
  79. Y.-w. Hu, W. Wang, H.-e. Li, Q.-k. Li and K.-k. Niu, Int. J. Electrochem. Sci., 2018, 13, 5031–5040 CrossRef CAS .
  80. P. Yang, X. Pan, J. Wang, R. Yang, J. Chu, H. Chen, H. Nan, L. Yang and X. Zhao, ChemistrySelect, 2019, 4, 2059–2063 CrossRef CAS .
  81. T. Gan, J. Li, H. Li, Y. Liu and Z. Xu, Nanoscale, 2019, 11, 7839–7849 RSC .
  82. W. Li, P. Wang, B. Chu, X. Chen, Z. Peng, J. Chu, R. Lin, Q. Gu, J. Lu and D. Wu, Food Chem., 2023, 402, 134197 CrossRef CAS PubMed .
  83. B. Sriram, J. N. Baby, Y.-F. Hsu, S.-F. Wang and M. George, Inorg. Chem., 2021, 60, 5271–5281 CrossRef CAS PubMed .
  84. D. Xu, R. Li, G. Wang, H. Zhu and Z. Li, New J. Chem., 2021, 45, 21308–21314 RSC .
  85. D. Ilager, N. P. Shetti, Y. Foucaud, M. Badawi and T. M. Aminabhavi, Chemosphere, 2022, 292, 133450 CrossRef CAS PubMed .
  86. L. Guo, B. Zhao, L. Hao, Y. Zhang and C. Wang, Microchim. Acta, 2022, 189, 454 CrossRef CAS PubMed .
  87. L. Yang, Y.-P. Zhu, A.-J. Wang, X. Weng and J.-J. Feng, Microchim. Acta, 2023, 190, 211 CrossRef CAS PubMed .
  88. R. Cui, D. Xu, X. Xie, Y. Yi, Y. Quan, M. Zhou, J. Gong, Z. Han and G. Zhang, Food Chem., 2017, 221, 457–463 CrossRef CAS PubMed .
  89. D. Ilager, S. J. Malode and N. P. Shetti, Chemosphere, 2022, 303, 134919 CrossRef CAS PubMed .
  90. T. Kokulnathan, T.-J. Wang, F. Ahmed and N. Arshi, Surf. Interfaces, 2023, 36, 102570 CrossRef CAS .
  91. E. Tamilalagan, M. Akilarasan, S.-M. Chen, S. Maheshwaran and Y.-F. Huang, Colloids Surf., A, 2022, 653, 129941 CrossRef CAS .
  92. X. Zhu, P. Liu, Y. Ge, R. Wu, T. Xue, Y. Sheng, S. Ai, K. Tang and Y. Wen, J. Electroanal. Chem., 2020, 862, 113940 CrossRef CAS .
  93. N. P. Shetti, K. Prabhu and S. J. Malode, Electrochemical Detection and Degradation of Carbendazim at Poly (Vat Violet 2r) Modified GCE, 2021, available at SSRN 3928374 Search PubMed .
  94. M. Brycht, O. Vajdle, K. Sipa, J. Robak, K. Rudnicki, J. Piechocka, A. Tasić, S. Skrzypek and V. Guzsvány, Ionics, 2018, 24, 923–934 CrossRef CAS .
  95. S. Periyasamy, J. Vinoth Kumar, S.-M. Chen, Y. Annamalai, R. Karthik and N. Erumaipatty Rajagounder, ACS Appl. Mater. Interfaces, 2019, 11, 37172–37183 CrossRef CAS PubMed .
  96. C. J. Venegas, L. Rodríguez and P. Sierra-Rosales, Chemosensors, 2023, 11, 117 CrossRef CAS .
  97. X. B. Joseph, J. N. Baby, S.-F. Wang, B. Sriram and M. George, ACS Sustain. Chem. Eng., 2021, 9, 14900–14910 CrossRef CAS .
  98. L. Wei, X. Huang, J. Yang, Y. Wang, K. Huang, L. Xie, F. Yan, L. Luo, C. Jiang, J. Liang, T. Li and Y. Ya, J. Electroanal. Chem., 2022, 915, 116370 CrossRef CAS .
  99. G. J. Arruda, F. D. Lima and C. A. L. Cardoso, J. Environ. Sci. Health, Part B, 2016, 51, 534–539 CrossRef CAS PubMed .
  100. S. J. Malode, P. K. Keerthi, N. P. Shetti and R. M. Kulkarni, Electroanalysis, 2020, 32, 1590–1599 CrossRef CAS .
  101. E. M. Maximiano, F. de Lima, C. A. L. Cardoso and G. J. Arruda, J. Appl. Electrochem., 2016, 46, 713–723 CrossRef CAS .
  102. J. F. de Macedo, A. A. C. Alves, M. V. S. Sant'Anna, F. G. C. Cunha, G. d. A. R. Oliveira, L. M. Lião and E. M. Sussuchi, J. Appl. Electrochem., 2022, 52, 729–742 CrossRef CAS .
  103. A. M. Ashrafi, J. Đorđević, V. Guzsvany, I. Švancara, T. Trtić-Petrović, M. Purenović and K. Vytřas, Int. J. Electrochem. Sci., 2012, 7, 9717–9731 CrossRef CAS .
  104. A. Özcan, F. Hamid and A. A. Özcan, Talanta, 2021, 222, 121591 CrossRef PubMed .

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