Application and Research Progress of Immunoassay Technology in Rapid Detection of Pesticide Residues

doi:10.11924/j.issn.1000-6850.casb2020-0419

Abstract

Abstract:

In order to solve the problems of time-consuming and high cost in the detection of pesticide residues by conventional methods such as chromatography, a simple, fast, high selectivity and high sensitivity rapid detection method for pesticide residues based on immunoassay was proposed. This review summarized the principles, characteristics and research progress of commonly used rapid detection techniques for pesticide residues, including enzyme-linked immunosorbent assay, fluorescence immunoassay, immunochromatography, immunomagnetic beads, biomimetic immunoassay and bio-barcode assay. Different methods have their own advantages, disadvantages and scope of application, and the rapid development of molecular imprinting, nanotechnology and genetic detection technology could provide high sensitivity and accuracy for pesticide residue immunoassay. Based on the advantages of immunoassay technology, it will play an important role in the field of rapid pesticide residue detection combined with new technology and continuous improvement. The miniaturization and integration of the detection methods, and higher stability and sensitivity of detect instruments are the development direction of pesticide residue detection in the future.

Key words: agricultural products, immunoassay, pesticide residues, rapid detection, review

CLC Number:

S481.8

Guo Siyi, Sun Mingna, Dong Xu, Chu Yue, Tong Zhou, Wang Mei, Gao Tongchun, Duan Jinsheng. Application and Research Progress of Immunoassay Technology in Rapid Detection of Pesticide Residues[J]. Chinese Agricultural Science Bulletin, 2021, 37(23): 106-112.

Figures/Tables 2

References 50

[1]	邢玮玮, 陈燕敏. 酶联免疫吸附分析法测定食品中有机磷农药残留[J]. 科技通报, 2018, 34(8):50-54.
[2]	Skerritt J H, Hill A S, Beasley H L, et al. Enzyme-Linked Immunosorbent Assay for Quantitation of Organophosphate Pesticides: Fenitrothion, Chlorpyrifos-methyl, and Pirimiphos-methyl in Wheat Grain and Flour-Milling Fractions[J]. Journal of AOAC International, 2020, 75(3):519-528. doi: 10.1093/jaoac/75.3.519 URL
[3]	冯璐. 噻虫啉单克隆抗体的制备及其免疫分析方法研究[D]. 南京:南京农业大学, 2017:8-9.
[4]	Lan J, Zhao H, Jin X, et al. Development of a monoclonal antibody-based immunoaffinity chromatography and a sensitive immunoassay for detection of spinosyn A in milk, fruits, and vegetables[J]. Food Control, 2019, 95:196-205. doi: 10.1016/j.foodcont.2018.08.002 URL
[5]	Fang Q, Zu Q, Hua X, et al. Quantitative Determination of Acetamiprid in Pollen Based on a Sensitive Enzyme-Linked Immunosorbent Assay[J]. Molecules, 2019, 24(7):1265-1275. doi: 10.3390/molecules24071265 URL
[6]	Li X, Wu H, Cui Z, et al. Indirect Competitive Aptamer-Based Enzyme-Linked Immunosorbent Assay (apt-ELISA) for the Specific and Sensitive Detection of Isocarbophos Residues[J]. Analytical Letters, 2019, 52(12):1-10. doi: 10.1080/00032719.2018.1473415 URL
[7]	郭建军. 喹乙醇化学发光免疫技术及时间分辨荧光免疫层析技术研究[D]. 杭州:浙江工商大学, 2020:2-3.
[8]	吕梦雨, 牛晓君, 彭志芳, 等. 时间分辨荧光免疫分析在环境中的应用进展[J]. 环境科学与技术, 2019, 42(8):95-102.
[9]	解肖鹏, 张雷. 时间分辨荧光免疫分析技术的研究进展[J]. 食品与药品, 2012, 14(5):203-206.
[10]	Xu Z, Dong J, Yang J, et al. Development of a sensitive time-resolved fluoroimmunoassay for organophosphorus pesticides in environmental water samples[J]. Analytical Methods, 2012, 4(10):3484-3490. doi: 10.1039/c2ay25534k URL
[11]	Liu Z, Yan X, Hua X, et al. Time-resolved fluoroimmunoassay for quantitative determination of thiacloprid in agricultural samples[J]. Analytical Methods, 2013, 5(14):3572-3576. doi: 10.1039/c3ay00033h URL
[12]	Shi H, Sheng E, Feng L, et al. Simultaneous detection of imidacloprid and parathion by the dual-labeled time-resolved fluoroimmunoassay[J]. Environmental Science & Pollution Research, 2015, 22(19):14882-14890.
[13]	柳颖, 郭逸蓉, 朱国念. 荧光偏振免疫分析在农药残留检测中的研究进展[J]. 分析仪器, 2016(Z1):64-68.
[14]	Liu Y, Liu R, Boroduleva A, et al. Fluorescence polarization immunoassay for the rapid detection of triazophos residue in agricultural products[J]. Analytical methods, 2016, 8(36):6636-6644. doi: 10.1039/C6AY00908E URL
[15]	Yu. B A, Manclús J J, Montoya, et al. Fluorescence polarization immunoassay for rapid screening of the pesticides thiabendazole and tetraconazole in wheat[J]. Analytical and Bioanalytical Chemistry, 2018, 410:6923-6934. doi: 10.1007/s00216-018-1296-z URL
[16]	Xu Z, Wang Q, Lei H, et al. A simple, rapid and high-throughput fluorescence polarization immunoassay for simultaneous detection of organophosphorus pesticides in vegetable and environmental water samples[J]. Analytica Chimica acta, 2011, 708(1):123-129. doi: 10.1016/j.aca.2011.09.040 URL
[17]	雷红涛, 吴青, 卢蓝蓝, 等. 置换型荧光偏振免疫检测除草剂丁草胺[J]. 分析化学, 2013, 41(7):1031-1036.
[18]	唐婷婷. 基于量子点标记的毛细管电泳-激光诱导荧光法对有机磷农药检测的研究[D]. 上海:华东师范大学, 2016:10-17.
[19]	Tan L, Guo M, Tan J, et al. Development of high-luminescence perovskite quantum dots coated with molecularly imprinted polymers for pesticide detection by slowly hydrolysing the organosilicon monomers in situ[J]. Sensors & Actuators B Chemical, 2019, 291:226-234.
[20]	Liao Y, Cui X, Chen G, et al. Simple and sensitive detection of triazophospesticide by using quantum dots nanobeads based on immunoassay[J]. Food and Agricultural Immunology, 2019, 30(1):522-532. doi: 10.1080/09540105.2019.1597022
[21]	Jiang M, He J, Gong J, et al. Development of a quantum dot-labelled biomimetic fluorescence immunoassay for the simultaneous determination of three organophosphorus pesticide residues in agricultural products[J]. Food & Agricultural Immunology, 2019, 30(1):248-261.
[22]	Liu Q, Tian J, Jiang M, et al. Direct Competitive Biomimetic Immunoassay Based on Quantum Dot Label for Simultaneous Determination of Two Pesticide Residues in Fruit and Vegetable Samples[J]. Food Analytical Methods, 2018, 11(1):3015-3022. doi: 10.1007/s12161-018-1285-z URL
[23]	Wang Q, Yin Q, Fan Y, et al. Double quantum dots-nanoporphyrin fluorescence-visualized paper-based sensors for detecting organophosphorus pesticides.[J]. Talanta, 2019, 199:46-53. doi: S0039-9140(19)30158-4 pmid: 30952284
[24]	肖石妹. 构建金纳米比色法和免疫分析法检测环境和食品中的农药残留[D]. 南昌:南昌大学, 2017:8-9.
[25]	朱建国. 粮油中真菌毒素和农药残留多组分检测技术研究[D]. 北京:中国农业科学院, 2016:8-9.
[26]	Lan J, Sun W, Chen L, et al. Simultaneous and rapid detection of carbofuran and 3-hydroxy-carbofuran in water samples and pesticide preparations using lateral-flow immunochromatographic assay[J]. Food & Agricultural Immunology, 2020, 31(1):165-175.
[27]	朱亮亮, 王琳琛, 王兆芹, 等. 检测4种有机磷农药胶体金免疫层析试纸条的研制[J]. 山东畜牧兽医, 2019, 40(8):10-12.
[28]	Wu J, Ma J, Wang H, et al. Rapid and visual detection of benzothiostrobin residue in strawberry using quantum dot-based lateral flow test strip[J]. Sensors and Actuators, 2019, B283(MAR):222-229.
[29]	Oouyang H, Wang W, Shu Q, et al. Novel chemiluminescent immunochromatographic assay using a dual-readout signal probe for multiplexed detection of pesticide residues[J]. The Analyst, 2018, 143(12):2883-2888. doi: 10.1039/C8AN00661J URL
[30]	Li X, Yang T, Sonh Y, et al. Surface-enhanced Raman spectroscopy (SERS)-based immunochromatographic assay (ICA) for the simultaneous detection of two pyrethroid pesticides[J]. Sensors & Actuators:B. Chemical, 2019, 283(MAR):230-238.
[31]	胡泽宇. 苊单克隆抗体的制备及免疫磁珠-ELISA方法的建立[D]. 长春:吉林大学, 2016:5-6.
[32]	柳心梅, 田巍, 肖治理. 免疫磁珠的制备及其在食品安全检测中的应用[J]. 食品安全质量检测学报, 2018, 9(18):4775-4780.
[33]	Du P, Jin M, Yang L, et al. A rapid immunomagnetic-bead-based immunoassay for triazophos analysis[J]. RSC Adv, 2015, 5(99):81046-81051. doi: 10.1039/C5RA15106F URL
[34]	崔涵雨. 基于免疫磁珠和分子印迹技术建立农药西维因检测方法的研究[D]. 镇江:江苏大学, 2016:14-24.
[35]	刘运清. 基于金纳米棒的有机磷农药等离子体ELISA方法的建立[D]. 长春:吉林大学, 2018:38-46.
[36]	郑亚丽, 顾丽莉, 张梦晓, 等. 分子印迹技术及其在农药残留检测中的研究进展[J]. 化工科技, 2017, 25(2):70-75.
[37]	Zhang Z, Ma X, Jia M, et al. Deposition of CdTe quantum dots on microfluidic paper chips for rapid fluorescence detection of pesticide 2,4-D[J]. Analyst, 2019, 144(4):1282-1291. doi: 10.1039/C8AN02051E URL
[38]	Li J, Lu J, Qiao X, et al. A study on biomimetic immunoassay-capillary electrophoresis method based on molecularly imprinted polymer for determination of trace trichlorfon residue in vegetables[J]. Food Chemistry, 2017, 221:1285-1290. doi: 10.1016/j.foodchem.2016.11.028 URL
[39]	Tang Y, Fang G, Wang S, et al. Rapid Determination of Metolcarb Residues in Foods Using a Biomimetic Enzyme-Linked Immunosorbent Assay Employing a Novel Molecularly Imprinted Polymer Film as Artificial Antibody[J]. Journal of AOAC International, 2013.
[40]	洪思慧. 基于分子印迹识别材料的三唑磷仿生免疫快速检测技术研究[D]. 北京:中国农业科学院, 2019:8-19.
[41]	任蕾. 苯磺隆分子印迹仿生酶联免疫检测方法研究[D]. 天津:天津科技大学, 2012:18-21.
[42]	霍冰洋. 基于免疫生物条形码及杂交链式反应高灵敏快速检测牛奶中SEB的研究[D]. 长春:吉林大学, 2018:5-8.
[43]	Alizadeh N, Hallaj R, Salimi A. A highly sensitive electrochemical immunosensor for hepatitis Bvirus surface antigen detection based on Hemin/G-quadruplex horseradish peroxidase-mimicking DNAzyme-signal amplification[J]. Biosens Bioelectron, 2017, 94:184-192. doi: S0956-5663(17)30126-4 pmid: 28284078
[44]	Pratiwi F W, Rijiravanich P, Somasundrum M, et al. Electrochemical immunoassay for Salmonella Typhimurium based on magnetically collected Ag-enhanced DNA biobarcode labels[J]. Analyst, 2013, 138(17):5011-5018. doi: 10.1039/c3an00606a pmid: 23833764
[45]	Yin H Q, Jia M X, Yang S, et al. A nanoparticle-based bio-barcode assay for ultrasensitive detection of ricin toxin[J]. Toxicon Official Journal of the International Society on Toxinology, 2012, 59(1):12-16. doi: 10.1016/j.toxicon.2011.10.003 URL
[46]	Dong H, Meng X, Dai W, et al. Highly sensitive and selective microRNA detection based on DNA-bio-bar-code and enzyme-assisted strand cycle exponential signal amplification[J]. Analytical chemistry, 2015, 87(8):4334-4340. doi: 10.1021/acs.analchem.5b00029 URL
[47]	杨光昕. 基于免疫PCR生物条形码技术检测多氯联苯的研究[D]. 上海:上海交通大学, 2014:7-17.
[48]	Du P, Jin M, Zhang C, et al. Highly sensitive detection of triazophos pesticide using a novel bio-bar-code amplification competitive immunoassay in a micro well plate-based platform[J]. Sensors and Actuators B, 2018, 256:457-464. doi: 10.1016/j.snb.2017.10.075 URL
[49]	崔雪妍, 金茂俊, 杜鹏飞, 等. 水果中毒死蜱农药残留生物条形码免疫分析方法研究[J]. 农产品质量与安全, 2019(2):35-38.
[50]	崔雪妍. 基于微滴式数字PCR的有机磷农药多残留生物条形码免疫分析方法研究[D]. 北京:中国农业科学院, 2019:26-41.