Imidacloprid Detection Based on Functional Nanomaterials: History
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Imidacloprid (IMI) has been applied in agricultural production to prevent pests. It is vital to detect IMI residues with high sensitivity for food safety. In general, nanomaterials have driven the development of highly sensitive sensing platforms owing to their unique physical and chemical properties. Nanomaterials play important roles in the construction of high-performance sensors, mainly through sample pretreatment and purification, recognition molecules immobilization, signal amplification, and providing catalytic active sites. 

  • imidacloprid
  • nanomaterials
  • chromatographic methods
  • electrochemical sensors
  • optical sensors

1. Introduction

In recent years, the market share of neonicotinoid pesticides has steadily increased in the global insecticide market because of their relative low toxicity to mammals but high activity against insects [1]. As a first-generation neonicotinoid pesticide, imidacloprid (IMI, 1-((6-Chloro-3-pyridiny)methyl)-N-nitro-imidazolidinimine) was first introduced in the 1990s. IMI is the largest-selling pesticide among neonicotinoid pesticides, and it is widely used for seed treatment in agriculture to protect crops from pests. It acts on the nicotinic acetylcholine receptor (nAChRs) by disturbing the central nervous systems of insects [2]. However, the long lifetime and high dose uses of IMI lead to large residues in environmental water, soil, and food, which could enter the human body through the food chain and pose a potential risk to human health [3][4][5]. This has led to some related laws being established to limit the maximum amount of IMI residue.
Up until now, various analytical methods have been developed for pesticide detection, including chromatographic techniques, electrochemical methods, and optical methods. Each of them has its own advantages and disadvantages (discussed in detail in Part 3). For example, efficient sample pretreatment methods are required before chromatographic analysis [6]. The weaker electrochemical response of IMI on traditional bare electrodes results in low sensitivity. Introducing nanomaterials into these analytical techniques can overcome these shortcomings. With the advancement of nanotechnology and synthetic methodologies, various nanostructure materials (NMs), including carbon-base materials (graphene, carbon nanotubes, porous carbon, etc.), metal nanoparticles, metal oxides and sulfides, upconverting nanoparticles, metal-organic frameworks (MOFs), conducting polymers, and their composites, have been designed and prepared [7][8][9][10]. These nanostructure materials possess excellent physicochemical and plasmonic properties owing to their small particle size and high surface area. These properties make them an essential part of the field of analytical techniques [11][12][13][14]. Nanomaterials play roles in sensor construction by enhancing catalytic activity, immobilizing biological entities (enzyme, antibody, aptamer, etc.), signal amplification, purification, exaction, and separation [15][16][17][18][19].

2. The Metabolites of IMI

When pesticides are applied to crops, they are often converted into metabolites. In the case of IMI, the degradation of IMI produces several metabolites, including imidacloprid-olefin (IMI-olefin), urea-imidacloprid (IMI-urea), 6-chloronicotinic acid (6-CNA, or 6-chl), 5-hydroxy-imidacloprid (5-OH-IMI), desnitro-imidacloprid (DN-IMI), and nitro-methylene analogue (CH-IMI) [20][21][22][23][24][25], etc. Their chemical structures are shown in Figure 1. The metabolites produced by IMI are related to the environment, and they exhibit higher toxicity than IMI. For example, in casing soil during mushroom cultivation, the main metabolites were IMI-urea, IMI-olefin, and 6-CNA [26]. In honey, the concentrations of IMI-olefin (5.6 ng g−1) and 5-OH-IMI (21.1 ng g−1) were higher than those of IMI (0.8 ng g−1) [27]. To make matters worse, the metabolites are more toxic than IMI itself. For example, IMI-olefin is twice as toxic as IMI [28]. Hence, the risk of IMI metabolites should be considered comprehensively when evaluating the harm of IMI.
Figure 1. Chemical structures of IMI and its metabolites.

3. Detection Methods

3.1. Sample Pretreatment and Chromatographic Analysis

The traditional chromatographic methods, including gas chromatography (GC), high-performance liquid chromatography (HPLC), mass spectrometry (MS), gas chromatography-tandem mass spectrometry (GC-MS), high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS), capillary electrophoresis-mass spectrometry (CE-MS), and ultraperformance liquid chromatography/tandem mass spectrometry (UPLC-MS/MS), can offer high accuracy and have been recognized as the gold standard for the detection of many organic analytes [29][30][31][32]. However, owing to the wide use of insecticides, they may exist in a variety of complex matrices, such as soil, food, Chinese medicine, etc., and the interferences in these matrices often affect the accuracy and sensitivity of detection [33]. Therefore, the determination of pesticide residues generally includes two steps: sample pretreatment and quantitative detection. Up to now, researchers have proposed versatile sample pretreatment methods to extract targets from different samples, such as solvent extraction, solid phase extraction (SPE), the QuEChERS method (the Quick, Easy, Cheap, Effective, Rugged, and Safe method), etc. [6][34][35][36][37]. Nanomaterials could be used for the extraction and enrichment of targets in complex matrices due to their small size, large specific surface area, and adjustable surface groups.

3.2. Electrochemical Sensors

Recently, various electrochemical techniques have attracted much attention from researchers due to their numerous advantages, including high sensitivity, low cost, and easy preparation [38]. Hence, electrochemical methods have been used for constructing sensors for IMI. The electrochemical detection performance of IMI is mainly dependent on various electrode-modified materials, such as carbon composite, reduced graphene oxide, β-cyclodextrin, bismuth film, silica film, molecularly imprinted polymers, biological materials, and so on. There are mainly three electrochemical strategies for IMI detection: direct detection, indirect detection (electrochemical sensors based on MIPs and biometric recognition elements), and electrochemical ratio sensors.

3.2.1. Direct Electrochemical Detection

IMI is an electroactive molecule in which the nitro group can undergo two-electron or four-electron reduction on an electrode surface. The direct electrochemical reduction of IMI proceeded on various modified electrodes to improve the sensitivity. β-cyclodextrin (β-CD) has a hydrophobic internal cavity and a hydrophilic external surface, which make it useful for capturing various molecules. Therefore, β-CD was extensively applied for sensor construction. For instance, Pereira [39] developed an electrochemical sensor for IMI based on β-CD film coated on a glass carbon electrode (GCE). The electrochemical performance of IMI on β-CD/GCE was better than that on bare GCE due to the encapsulating effect of β-CD for IMI. A variety of carbon materials, including carbon nanotubes, carbon paste, graphene oxide (GO) or reduced graphene oxide (rGO), etc., have excellent electrochemical properties and are widely used in electrochemical sensors.

3.2.2. Electrochemical Sensors Based on MIPs

Molecularly imprinted polymers (MIPs) are tailor-made synthetic materials with high-affinity binding sites for a specific target molecule [40]. MIPs are prepared by mixing a target molecule as a template with a cross-linking agent and an initiator. After polymerization, the template is removed, leaving the hole exactly the same as the target molecule. The forming hole can rebind perfectly with the target molecule, allowing it to be specifically recognized and detected target molecule. Therefore, sensors based on MIPs have been designed and applied in various fields, such as environmental analysis [41], pharmaceutical analysis [42], nucleic acid assay [43], and food safety [44].

3.2.3. Electrochemical Sensor Based on Biometric Molecules

Except for MIP, some biometric recognition elements such as antibodies, enzymes, and aptamers have been used to improve the selectivity of sensors. Timur et al. [45] found an aptamer of IMI by the Systematic Evolution of Ligands by Exponential Enrichment (SELEX) process, and an aptasensor was constructed for IMI detection in a range of 0.1–50 ng mL−1 with a LOD of 0.19 ng mL−1. Pérez-Fernández et al. [46] reported a competitive immunosensor for IMI detection based on AuNPs-modified screen-printed carbon electrodes (AuNPs-SPCE). In the work, a monoclonal antibody to IMD (mAb-IMD) was immobilized on AuNPs-SPCE, and a competitive assay was performed between free IMI and IMI labeled with horseradish peroxidase (HRP). The electrochemical reduction signal of oxidized 3,3’,5,5’-tetramethylbenzidine (TMB) was associated with IMI concentration, avoiding the use of secondary antibodies. This sensor exhibited excellent performance for IMI determination, with a satisfactory low LOD, high selectivity, and stability. Furthermore, this sensor was successfully applied in IMI analysis on a real sample, and the reliability was also validated by HPLC-MS/MS.

3.2.4. Ratiometric Electrochemical Sensor

The classical electrochemical sensor contains only a single electrochemical signal of the target molecule, and its reproducibility is easily influenced by electrode properties or the complex detection system. To overcome this limitation, ratiometric electrochemical sensors involving the simultaneous measurement of two electrochemical signals at different potentials have been developed. By introducing a built-in correction for the analyte’s signal, the ratio electrochemical sensor greatly improves the reproducibility and reliability of electrochemical detection. So far, ratio electrochemical sensors have been used to detect metal ions, nucleic acids, proteins, biological small molecules, etc. [47][48]. The researchers also applied the ratio sensing strategy for IMI detection. The Kan group [49] constructed a ratio electrochemical sensor by electropolymerization of thionine and β-CD composite on GCE for IMI determination, in which thionine as an internal reference element provides a built-in correction. The current ratio of IMI and thionine was employed as the signal for IMI detection, and it exhibited a good linear relationship in the concentration range of 0.04–10 μM.
To sum up, researchers have developed a variety of electrochemical sensing strategies based on nanomaterials for IMI detection. On the one hand, designing and synthesizing nanomaterials with controlled morphology or preparing hybrid materials to further improve the electrocatalytic reduction of IMI is highly necessary. On the other hand, combining the advantages of easy miniaturization of electrochemical sensors with specific recognition elements, the establishment of hand-held electrochemical sensing devices with high selectivity and sensitivity has great prospects.

3.3. Optical Sensors

Over the past decades, researchers have devoted intensive efforts to developing various optical sensors due to their advantages, including simplicity, ultra-sensitivity, and high selectivity. The principle of an optical sensor is based on the shift of the characteristic signal caused by the interaction of the analyst with the substrate or with other optical molecules. With the development of nanotechnology, many optical detection platforms have been born. According to the different detection signals, multiple optical sensors, including fluorescence, colorimetry, surface plasmon resonance (SPR), and surface enhanced Raman spectroscopy (SERS), have been applied to detect IMI.

3.3.1. Fluorescent Method

Recently, with the significant development of optical nanomaterials, fluorescence sensing has dramatically benefited from various luminescent nanoparticles. For instance, Tian et al. [50] developed two kinds of lateral flow immunoassay (LFIA) for IMI determination based on time-resolved fluorescent nanobeads and colloidal gold, respectively. The proposed LFIAs achieved high accuracy and a low LOD for IMI analysis. Guo et al. [10] established a competitive fluorescence resonance energy transfer (FRET) immunoassay for IMI detection. FRET occurred through the specific immunoreaction between antigen/GO and mAb/up-converting nanoparticles, (UCNPs). The fluorescence intensity of UCNPs was weakened by GO, and the florescent recovery of UCNPs is associated with IMI concentration through the competitive mechanism. This sensor showed a wide range of 0.08–50 ng/mL for IMI in the presence of other interferences.

3.3.2. Colorimetric and Surface Plasmon Resonance (SPR) Sensors

A colorimetric sensor has the merits of visualization, simplicity, low cost, and being a powerful tool for high-throughput analysis. In recent years, various noble metal nanoparticles, such as AuNPs and AgNPs, have been applied for the construction of colorimetric sensors owing to their strong localized surface plasmon resonance (LSPR) effect. Further, plasmonic colorimetric sensors based on metal nanoparticles have been applied to detect various analytes, including metal ions, pesticides, proteins, DNA, pathogens, and so on [51][52][53][54][55].

3.3.3. Surface-Enhanced Raman Spectroscopy

The Surface Enhance Raman Scattering (SERS) technique has received much attention in the field of analysis due to its non-invasive and unique fingerprint characteristics. In particular, the Raman signal can be enhanced with the use of nanomaterials with plasmonic properties, greatly improving the sensitivity of detection. For example, the O’Riordan group [56] proposed a SERS sensor for two neonicotinoids, including clothianidin and IMI, using Ag nanoparticles coated Polyvinylidene fluoride (PVDF) substrates. The developed SERS can sense 1 ng/mL IMI with a LOD of 4 nM.

This entry is adapted from the peer-reviewed paper 10.3390/chemosensors11050300

References

  1. Jeschke, P.; Nauen, R. Neonicotinoids—From zero to hero in insecticide chemistry. Pest. Manag. Sci. 2008, 64, 1084–1098.
  2. Li, Q.; Kong, X.; Xiao, Z.; Zhang, L.; Wang, F.; Zhang, H.; Li, Y.; Wang, Y. Structural determinants of imidacloprid-based nicotinic acetylcholine receptor inhibitors identified using 3D-QSAR, docking and molecular dynamics. J. Mol. Model. 2012, 18, 2279–2289.
  3. Sriapha, C.; Trakulsrichai, S.; Intaraprasong, P.; Wongvisawakorn, S.; Tongpoo, A.; Schimmel, J.; Wananukul, W. Imidacloprid poisoning case series: Potential for liver injury. Clin. Toxicol. 2020, 58, 136–138.
  4. Millot, F.; Decors, A.; Mastain, O.; Quintaine, T.; Berny, P.; Vey, D.; Lasseur, R.; Bro, E. Field evidence of bird poisonings by imidacloprid-treated seeds: A review of incidents reported by the French SAGIR network from 1995 to 2014. Environ. Sci. Pollut. Res. 2017, 24, 5469–5485.
  5. Wan, Y.; Han, Q.; Wang, Y.; He, Z. Five degradates of imidacloprid in source water, treated water, and tap water in Wuhan, central China. Sci. Total Environ. 2020, 741, 140227.
  6. Wang, Y.; Fu, Y.; Wang, Y.; Lu, Q.; Ruan, H.; Luo, J.; Yang, M. A comprehensive review on the pretreatment and detection methods of neonicotinoid insecticides in food and environmental samples. Food Chem. X 2022, 15, 100375.
  7. Liu, L.; Guo, J.; Liu, X.; Wang, A.; Yu, X.; Ding, L. Photoelectrochemical Clothianidin Detection Based on a WO3/CdS Heterostructure Coated with a Molecularly Imprinted Thin Film. Anal. Sens. 2022, 2, e202200029.
  8. Liu, L.; Guo, J.; Ding, L. Polyaniline Nanowire Arrays Deposited on Porous Carbon Derived from Raffia for Electrochemical Detection of Imidacloprid. Electroanalysis 2021, 33, 2048–2052.
  9. Guo, J.-W.; Yang, Z.-W.; Liu, X.-L.; Zhang, L.-W.; Guo, W.-B.; Zhang, J.; Ding, L.-H. 2D Co metal-organic framework nanosheet as an oxidase-like nanozyme for sensitive biomolecule monitoring. Rare Met. 2023, 42, 797–805.
  10. Guo, Y.; Zou, R.; Si, F.; Liang, W.; Zhang, T.; Chang, Y.; Qiao, X.; Zhao, J. A sensitive immunoassay based on fluorescence resonance energy transfer from up-converting nanoparticles and graphene oxide for one-step detection of imidacloprid. Food Chem. 2021, 335, 127609.
  11. Gao, L.; He, C. Application of nanomaterials decorated with cyclodextrins as sensing elements for environment analysis. Environ. Sci. Pollut. Res. 2021, 28, 59499–59518.
  12. Kumar, S.; Wang, Z.; Zhang, W.; Liu, X.; Li, M.; Li, G.; Zhang, B.; Singh, R. Optically Active Nanomaterials and Its Biosensing Applications—A Review. Biosensors 2023, 13, 85.
  13. Xue, X.-y.; Cheng, R.; Shi, L.; Ma, Z.; Zheng, X. Nanomaterials for water pollution monitoring and remediation. Environ. Chem. Lett. 2017, 15, 23–27.
  14. Ahmadi, M.; Elmongy, H.; Madrakian, T.; Abdel-Rehim, M. Nanomaterials as sorbents for sample preparation in bioanalysis: A review. Anal. Chim. Acta 2017, 958, 1–21.
  15. Ding, L.; Yan, J.; Zhao, Z.; Li, D. Synthesis of NiGa2O4 nanosheets for non-enzymatic glucose electrochemical sensor. Sens. Actuators B Chem. 2019, 296, 126705.
  16. Ding, L.; Ma, C.; Li, L.; Zhang, L.; Yu, J. A photoelectrochemical sensor for hydrogen sulfide in cancer cells based on the covalently and in situ grafting of CdS nanoparticles onto TiO2 nanotubes. J. Electroanal. Chem. 2016, 783, 176–181.
  17. An, H.; Li, M.; Ga, J.; Zhang, Z.; Ma, S.; Chen, Y. Incorporation of biomolecules in Metal-Organic Frameworks for advanced applications. Coord. Chem. Rev. 2019, 384, 90–106.
  18. Bilal, M.; Asgher, M.; Cheng, H.; Yan, Y.; Iqbal, H.M.N. Multi-point enzyme immobilization, surface chemistry, and novel platforms: A paradigm shift in biocatalyst design. Crit. Rev. Biotechnol. 2019, 39, 202–219.
  19. Ding, L.; Zhang, L.; Yang, H.; Liu, H.; Ge, S.; Yu, J. Electrochemical biosensor for p53 gene based on HRP-mimicking DNAzyme-catalyzed deposition of polyaniline coupled with hybridization chain reaction. Sens. Actuators B Chem. 2018, 268, 210–216.
  20. Thompson, D.A.; Lehmler, H.-J.; Kolpin, D.W.; Hladik, M.L.; Vargo, J.D.; Schilling, K.E.; LeFevre, G.H.; Peeples, T.L.; Poch, M.C.; LaDuca, L.E.; et al. A critical review on the potential impacts of neonicotinoid insecticide use: Current knowledge of environmental fate, toxicity, and implications for human health. Environ. Sci. Process. Impacts 2020, 22, 1315–1346.
  21. Loser, D.; Grillberger, K.; Hinojosa, M.G.; Blum, J.; Haufe, Y.; Danker, T.; Johansson, Y.; Möller, C.; Nicke, A.; Bennekou, S.H.; et al. Acute effects of the imidacloprid metabolite desnitro-imidacloprid on human nACh receptors relevant for neuronal signaling. Arch. Toxicol. 2021, 95, 3695–3716.
  22. Brunet, J.-L.; Maresca, M.; Fantini, J.; Belzunces, L.P. Human intestinal absorption of imidacloprid with Caco-2 cells as enterocyte model. Toxicol. Appl. Pharmacol. 2004, 194, 1–9.
  23. Zhang, Q.; Wang, X.; Rao, Q.; Chen, S.; Song, W. Imidacloprid dissipation, metabolism and accumulation in Agaricus bisporus fruits, casing soil and compost and dietary risk assessment. Chemosphere 2020, 254, 126837.
  24. Suchail, S.; Guez, D.; Belzunces, L.P. Discrepancy between acute and chronic toxicity induced by imidacloprid and its metabolites in Apis mellifera. Environ. Toxicol. Chem. 2001, 20, 2482–2486.
  25. Eng, M.L.; Hao, C.; Watts, C.; Sun, F.; Morrissey, C.A. Characterizing imidacloprid and metabolites in songbird blood with applications for diagnosing field exposures. Sci. Total Environ. 2021, 760, 143409.
  26. Jiao, X.; Li, Z.; He, J.; Wang, C. Enhanced photodegradation of applied dithianon fungicides on plant leaves by dissolved substances in atmosphere under simulated sunlight. Chemosphere 2020, 254, 126807.
  27. Codling, G.; Al Naggar, Y.; Giesy, J.P.; Robertson, A.J. Concentrations of neonicotinoid insecticides in honey, pollen and honey bees (Apis mellifera L.) in central Saskatchewan, Canada. Chemosphere 2016, 144, 2321–2328.
  28. Wu, C.; Dong, F.; Mei, X.; Ning, J.; She, D. Distribution, Dissipation, and Metabolism of Neonicotinoid Insecticides in the Cotton Ecosystem under Foliar Spray and Root Irrigation. J. Agric. Food Chem. 2019, 67, 12374–12381.
  29. Song, S.; Zhang, C.; Chen, Z.; He, F.; Wei, J.; Tan, H.; Li, X. Simultaneous determination of neonicotinoid insecticides and insect growth regulators residues in honey using LC–MS/MS with anion exchanger-disposable pipette extraction. J. Chromatogr. A 2018, 1557, 51–61.
  30. Sánchez-Hernández, L.; Hernández-Domínguez, D.; Bernal, J.; Neusüß, C.; Martín, M.T.; Bernal, J.L. Capillary electrophoresis–mass spectrometry as a new approach to analyze neonicotinoid insecticides. J. Chromatogr. A 2014, 1359, 317–324.
  31. Li, S.; Yu, P.; Zhou, C.; Tong, L.; Li, D.; Yu, Z.; Zhao, Y. Analysis of pesticide residues in commercially available chenpi using a modified QuEChERS method and GC-MS/MS determination. J. Pharm. Anal. 2020, 10, 60–69.
  32. Li, S.; Xu, H.; Sui, Y.; Mei, X.; Shi, J.; Cai, S.; Xiong, T.; Carrillo, C.; Castagnini, J.M.; Zhu, Z.; et al. Comparing the LC-MS Phenolic Acids Profiles of Seven Different Varieties of Brown Rice (Oryza sativa L.). Foods 2022, 11, 1552.
  33. Ingle, R.G.; Zeng, S.; Jiang, H.; Fang, W.-J. Current developments of bioanalytical sample preparation techniques in pharmaceuticals. J. Pharm. Anal. 2022, 12, 517–529.
  34. Zhao, W.-H.; Shi, Y.-P. A porous boron nitride nanorods-based QuEChERS analysis method for detection of five neonicotinoid pesticide residues in goji berries. J. Chromatogr. A 2022, 1670, 462968.
  35. Song, Z.; Li, J.; Lu, W.; Li, B.; Yang, G.; Bi, Y.; Arabi, M.; Wang, X.; Ma, J.; Chen, L. Molecularly imprinted polymers based materials and their applications in chromatographic and electrophoretic separations. TrAC Trends Anal. Chem. 2022, 146, 116504.
  36. Tao, X.-y.; Zhang, Y.; Zhou, Y.; Liu, Z.-f.; Feng, X.-s. Nicotine in Complex Samples: Recent Updates on the Pretreatment and Analysis Method. Crit. Rev. Anal. Chem. 2021.
  37. Abdel-Ghany, M.F.; Hussein, L.A.; El Azab, N.F.; El-Khatib, A.H.; Linscheid, M.W. Simultaneous determination of eight neonicotinoid insecticide residues and two primary metabolites in cucumbers and soil by liquid chromatography-tandem mass spectrometry coupled with QuEChERS. J. Chromatogr. B 2016, 1031, 15–28.
  38. Li, H.; Qi, H.; Chang, J.; Gai, P.; Li, F. Recent progress in homogeneous electrochemical sensors and their designs and applications. TrAC Trends Anal. Chem. 2022, 156, 116712.
  39. Oliveira, A.E.F.; Bettio, G.B.; Pereira, A.C. Optimization of an Electrochemical Sensor for Determination of Imidacloprid Based on β-cyclodextrin Electropolymerization on Glassy Carbon Electrode. Electroanalysis 2018, 30, 1929–1937.
  40. BelBruno, J.J. Molecularly Imprinted Polymers. Chem. Rev. 2019, 119, 94–119.
  41. Rebelo, P.; Costa-Rama, E.; Seguro, I.; Pacheco, J.G.; Nouws, H.P.A.; Cordeiro, M.N.D.S.; Delerue-Matos, C. Molecularly imprinted polymer-based electrochemical sensors for environmental analysis. Biosens. Bioelectron. 2021, 172, 112719.
  42. Ramanavicius, S.; Samukaite-Bubniene, U.; Ratautaite, V.; Bechelany, M.; Ramanavicius, A. Electrochemical molecularly imprinted polymer based sensors for pharmaceutical and biomedical applications (review). J. Pharm. Biomed. Anal. 2022, 215, 114739.
  43. Nawaz, N.; Abu Bakar, N.K.; Mahmud, H.N.M.E.; Jamaludin, N.S. Molecularly imprinted polymers-based DNA biosensors. Anal. Biochem. 2021, 630, 114328.
  44. Garcia, Y.; Vera, M.; Giraldo, J.D.; Garrido-Miranda, K.; Jimenez, V.A.; Urbano, B.F.; Pereira, E.D. Microcystins Detection Methods: A Focus on Recent Advances Using Molecularly Imprinted Polymers. Anal. Chem. 2022, 94, 464–478.
  45. Bor, G.; Man, E.; Ugurlu, O.; Ceylan, A.E.; Balaban, S.; Durmus, C.; Pinar Gumus, Z.; Evran, S.; Timur, S. In vitro Selection of Aptamer for Imidacloprid Recognition as Model Analyte and Construction of a Water Analysis Platform. Electroanalysis 2020, 32, 1922–1929.
  46. Pérez-Fernández, B.; Mercader, J.V.; Abad-Fuentes, A.; Checa-Orrego, B.I.; Costa-García, A.; Escosura-Muñiz, A.d.l. Direct competitive immunosensor for Imidacloprid pesticide detection on gold nanoparticle-modified electrodes. Talanta 2020, 209, 120465.
  47. Wei, J.; Liu, C.; Wu, T.; Zeng, W.; Hu, B.; Zhou, S.; Wu, L. A review of current status of ratiometric molecularly imprinted electrochemical sensors: From design to applications. Anal. Chim. Acta 2022, 1230, 340273.
  48. Zhang, J.; Wang, D.; Li, Y. Ratiometric Electrochemical Sensors Associated with Self-Cleaning Electrodes for Simultaneous Detection of Adrenaline, Serotonin, and Tryptophan. ACS Appl. Mater. Interfaces 2019, 11, 13557–13563.
  49. Li, X.; Kan, X. A ratiometric strategy-based electrochemical sensing interface for the sensitive and reliable detection of imidacloprid. Analyst 2018, 143, 2150–2156.
  50. Tan, G.; Zhao, Y.; Wang, M.; Chen, X.; Wang, B.; Li, Q.X. Ultrasensitive quantitation of imidacloprid in vegetables by colloidal gold and time-resolved fluorescent nanobead traced lateral flow immunoassays. Food Chem. 2020, 311, 126055.
  51. Yu, L.; Song, Z.; Peng, J.; Yang, M.; Zhi, H.; He, H. Progress of gold nanomaterials for colorimetric sensing based on different strategies. TrAC Trends Anal. Chem. 2020, 127, 115880.
  52. Sun, J.; Lu, Y.; He, L.; Pang, J.; Yang, F.; Liu, Y. Colorimetric sensor array based on gold nanoparticles: Design principles and recent advances. TrAC Trends Anal. Chem. 2020, 122, 115754.
  53. Ma, Y.; Li, Y.; Ma, K.; Wang, Z. Optical colorimetric sensor arrays for chemical and biological analysis. Sci. China Chem. 2018, 61, 643–655.
  54. Liu, B.; Zhuang, J.; Wei, G. Recent advances in the design of colorimetric sensors for environmental monitoring. Environ. Sci. Nano 2020, 7, 2195–2213.
  55. Yan, P.; Zheng, X.; Liu, S.; Dong, Y.; Fu, T.; Tian, Z.; Wu, Y. Colorimetric Sensor Array for Identification of Proteins and Classification of Metabolic Profiles under Various Osmolyte Conditions. ACS Sens. 2023, 8, 133–140.
  56. Creedon, N.; Lovera, P.; Moreno, J.G.; Nolan, M.; O’Riordan, A. Highly Sensitive SERS Detection of Neonicotinoid Pesticides. Complete Raman Spectral Assignment of Clothianidin and Imidacloprid. J. Phys. Chem. A 2020, 124, 7238–7247.
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