表面增强拉曼技术在茶叶农药残留检测中的研究进展
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  • 英文篇名:Advances in detection of pesticide residues in tea products by surface enhanced Raman scattering
  • 作者:张德 ; 陈金磊 ; 倪德江 ; 陈玉琼 ; 梁培 ; 余志
  • 英文作者:ZHANG De;CHEN Jin-Lei;NI De-Jiang;CHEN Yu-Qiong;LIANG Pei;YU Zhi;Key Laboratory of Horticultural Plant Biology, Ministry of Education, College of Horticulture & Forestry Sciences,Huazhong Agricultural University;College of Optical and Electronic Technology, China Jiliang University;
  • 关键词:茶叶 ; 农药残留 ; 表面增强拉曼 ; 纳米颗粒
  • 英文关键词:tea;;pesticides residues;;surface enhanced Raman scattering;;nano particles
  • 中文刊名:SPAJ
  • 英文刊名:Journal of Food Safety & Quality
  • 机构:华中农业大学园艺林学学院园艺植物生物学教育部重点实验室;中国计量大学光学与电子科技学院;
  • 出版日期:2019-07-15
  • 出版单位:食品安全质量检测学报
  • 年:2019
  • 期:v.10
  • 基金:茶叶初制精制智能生产线研制与示范项目(2018YFD0700505);; 高校自主创新基金项目(2662017JC035)~~
  • 语种:中文;
  • 页:SPAJ201913031
  • 页数:7
  • CN:13
  • ISSN:11-5956/TS
  • 分类号:167-173
摘要
茶叶是世界上重要的经济作物,其消费和饮用遍布全球各地,因此,茶叶的质量安全备受人们的关注。农药残留是茶叶质量安全最重要的问题之一。传统的检测方法往往具有步骤复杂,耗费时间长,成本高且不能现场检测的缺点而无法完全满足现实检测的需求。愈来愈高的贸易壁垒迫切需求新的检测方法的出现。表面增强拉曼光谱技术(surface enhanced Raman scattering, SERS)因其选择性强、灵敏度高、无损检测等优点吸引着研究者们的目光。茶叶农药残留的SERS检测前处理技术是非常重要的一步,不同的茶叶农药需要不同的前处理方法。良好的衬底能够大大提高拉曼增强检测的灵敏度。先进的算法可以优化拉曼光谱的处理,提高检测准确度。因此,本文主要总结了SERS技术在茶叶农药残留检测方面的概况,阐述相关技术难点、解决方案及发展趋势,为茶叶农药残留的快速检测技术提供新的思路和方向。
        Tea is an important cash crop in the world, which is consumed and drunk all over the world. Therefore,the quality and safety of tea products attract human's attention. Pesticides residues is one of the most significant problem of tea products. Traditional detection methods often have the disadvantages of complicated steps, long time consuming, high cost and no on-site detection, so they cannot fully meet the requirements of practical detection.Increasingly high trade barriers call for new testing methods. Surface enhanced Raman scattering(SERS) is so attractive to researchers because of its strong selectivity, high sensitivity, and non-destructive inspection. It is a very important step to apply the SERS detection and pretreatment technology for tea residue. Different tea pesticides require different pretreatment methods. A good substrate can greatly improve the sensitivity of Raman enhanced detection. The advanced algorithm can optimize the processing of Raman spectrum and improve the detection accuracy. This paper mainly summarized the general situation of SERS technology in the detection of pesticide residues in tea and elaborated the technical difficulties, solutions and development trends, providing new ideas and directions for the rapid detection technology of tea pesticide residues.
引文
[1]Jiménez AM,Cabanes J,Gand??A HF,et al.Kinetic analysis of catechin oxidation by polyphenol oxidase at neutral pH[J].Biochem Biophys Res Commun,2004,319:902-910.
    [2]GB 2763.1-2018食品安全国家标准食品中百草枯等43种农药最大残留限量[S].GB 2763.1-2018 National food safety standard-Maximum residue limits of43 pesticides in food[S].
    [3]European Commission.Health and food safety[DB/OL].[2017-4-20].https://ec.europa.eu/info/departments/health-and-food-safety_en
    [4]蒋大强,周勇,杨莉.农产品、食品安全检测方法与仪器发展[J].分析仪器,2006,(3):1-6.Jiang DQ,Zhou Y,Yang L.Development of agricultural products,food safety testing methods and instruments[J].Anal Instrum,2006,(3):1-6.
    [5]王升.近红外分析技术在中药检测体系中的应用[J].中国科技纵横,2011,(5):339-339.Wang S.Application of near infrared spectroscopy in the detection system of traditional Chinese medicine[J].Sci Technol China,2001,(5):339-339.
    [6]关于《中国药典》2020年版四部通则增修订内容的公示[EB/OL].[2018-8-23].http://www.chp.org.cn/view/ff80808164eede7e01656995f153286c?a=BZFL.Notification of the additional and revised contents of the four general principles of the 2020 edition of the Chinese Pharmacopoeia[EB/OL].[2018-8-23].http://www.chp.org.cn/view/ff80808164eede7e01656995f153286c?a=BZFL.
    [7]Fleischmann M,Hendra PJ,Mcquillan AJ.Raman spectra of pyridine adsorbed at a silver electrode[J].Chem Phys Lett,1974,26(2):163-166.
    [8]Kneipp K,Wang Y,Kneipp H,et al.Single molecule detection using surface-enhanced Raman scattering(SERS)[J].Phys Rev Lett,1997,78(9):1667.
    [9]Qin S,Meng J,Tang X,et al.Monitoring the inorganic chemical reaction by surface-enhanced Raman spectroscopy:A case of Fe3+to Fe2+conversion[J].Talanta,2016,146:452-456.
    [10]Liu Z,Wang X,Dai K,et al.Tip-enhanced Raman spectroscopy for investigating adsorbed nonresonant molecules on single-crystal surfaces:tip regeneration,probe molecule,and enhancement effect[J].J Raman Spectrosc,2010,40(10):1400-1406.
    [11]Fujita K,Ando J,Smith NI,et al.Dynamic SERS imaging with gold nanoparticles transported in a living cell[J].Proc Spie,2013,8597(17):7.
    [12]Xie X,Pu H,Sun DW.Recent advances in nanofabrication techniques for SERS substrates and their applications in food safety analysis[J].Crit Rev Food Sci Nutr,2018,58(16):2800-2813.
    [13]Chen K,Leona M,Vodinh KC,et al.Application of surface-enhanced Raman scattering(SERS)for the identification of anthraquinone dyes used in works of art[J].J Raman Spectrosc,2010,37(4):520-527.
    [14]Makam P,Shilpa R,Kandjani AE,et al.SERS and fluorescence-based ultrasensitive detection of mercury in water[J].Biosens Bioelectron,2018,100:556-564.
    [15]张莘民,杨凯.固相萃取技术在我国环境化学分析中的应用[J].中国环境监测,2000,16(6):53-57.Zhang SM,Yang K.Application of solid phase extraction in environmental chemistry analysis in China[J].Environ Monit China,2000,16(6):53-57.
    [16]陈浩,田景振.超临界流体萃取技术[J].山东中医杂志,1999,(11):509-511.Chen H,Tian JZ.Supercritical fluid extraction technology[J].Shandong JTradit Chin Med,1999,(11):509-511.
    [17]乌日娜,李建科.基质固相分散在食品安全分析中的应用[J].食品科学,2005,26(6):266-268.Wu RN,Li JK.Application of matrix solid dispersion in food safety analysis[J].Food Sci,2005,26(6):266-268.
    [18]Sarafraz A.Liquid-phase microextraction[J].Trends Anal Chem,2010,29(1):1-14.
    [19]Lord H,Pawliszyn J.Evolution of solid-phase microextraction technology[J].J Chromatogr A,2000,885(1):153-193.
    [20]Hage DS.Survey of recent advances in analytical applications of immunoaffinity chromatography[J].J Chromatogr B,1998,715(1):3-28.
    [21]张洪昌.农药质量鉴别[M].北京:金盾出版社,2014.Zhang HC.Pesticide Quality Identification[M].Beijing:Golden Shield Publishing House,2014.
    [22]吴民富.茶叶农药残留检测前处理新技术研究进展[J].广东茶业,2015,(3):12-14.Wu MF.Advances in new pretreatment technologies for pesticide residues in tea[J].Guangdong Tea Ind,2015,(3):12-14.
    [23]蔺磊,吴瑞梅,郭平,等.鲜茶叶中噻菌灵农药的SERS快速检测方法研究[J].现代食品科技,2015,(5):291-296.Lin L,Wu RM,Guo P,et al.Study on SERS rapid detection of thiabendazole pesticides in fresh tea[J].Mod Food Sci Technol,2015,(5):291-296.
    [24]熊俊飞.茶叶中农药残留的光谱快速检测研究[D].南昌:江西农业大学,2016.Xiong JF.Rapid spectral detection of pesticide residues in tea[D].Nanchang:Jiangxi Agricultural University,2016.
    [25]吴燕,彭芳,吴斌,等.基于SERS技术的茶叶中乐果农药残留的快速检测[J].江苏农业科学,2017,45(14):160-163.Wu Y,Peng F,Wu B,et al.Rapid detection of dimethoate pesticide residues in tea based on SERS technology[J].Jiangsu Agric Sci,2017,45(14):160-163.
    [26]吴燕,吴瑞梅,黄双根,等.茶叶中多菌灵残留的SERS快速检测[J].江苏农业科学,2015,(9):338-340.Wu Y,Wu RM,Huang SG,et al.Rapid detection of carbendazim residues in tea by SERS[J].Jiangsu Agric Sci,2015,(9):338-340.
    [27]Zhu J,Ahmad W,Xu Y,et al.Development of a novel wavelength selection method for the trace determination of chlorpyrifos on Au@Ag NPs substrate coupled surface-enhanced Raman spectroscopy[J].Analyst,2019,144:1167-1177.
    [28]Jia JZ,Akomeah AA,Kutsanedzie FY,et al.Qualitative and quantitative analysis of chlorpyrifos residues in tea by surface-enhanced Raman spectroscopy(SERS)combined with chemometric models[J].LWT,2018:S0023643818306388.
    [29]Ma CH,Zhang J,Hong YC,et al.Determination of carbendazim in tea using surface enhanced Raman spectroscopy[J].Chin Chem Lett,2015,26:1455-1459.
    [30]Hou R,Pang S,He L.In situ SERS detection of multi-class insecticides on plant surfaces[J].Anal Methods,2015,7:6325-6330.
    [31]Hou R,Zhang Z,Pang S,et al.Alteration of the nonsystemic behavior of the pesticide ferbam on tea leaves by engineered gold nanoparticles[J].Environ Sci Technol,2016,50(12):6216-6223.
    [32]Qu Y,Tan C,Zhang Z,et al.A facile solvent mediated self-assembly silver nanoparticle mirror substrate for quantitatively improved surface enhanced Raman scattering[J].Analyst,2017:10.1039.C7AN00784A.
    [33]Pan Y,Guo X,Zhu J,et al.A new SERS substrate based on silver nanoparticle functionalized polymethacrylate monoliths in a capillary,and it application to the trace determination of pesticides[J].Microchim Acta,2015,182(9):1775-1782.
    [34]Li H,Hu W,Hassan MM,et al.A facile and sensitive SERS-based biosensor for colormetric detection of acetamiprid in green tea based on unmodified gold nanoparticles[J].J Food Measur Characteriz,2019,13(1):259-268.
    [35]胡薇薇.茶叶中啶虫脒农药的纳米生物传感器检测方法研究[D].镇江:江苏大学,2017.Hu WW.Detection of acetamiprid pesticide in tea by nano-biosensor[D].Zhenjiang:Jiangsu University,2017.
    [36]Hassan MM,Chen Q,Kutsanedzie FY,et al.r GO-NS SERS-based coupled chemometric prediction of acetamiprid residue in green tea[J].J.Food Drug Anal,2019,27:145-153.
    [37]尧超平.表面增强拉曼散射基底的研发及其在食品安全中的应用[D].成都:电子科技大学,2014.Yao CP.Development of surface enhanced raman scattering substrate and its application in food safety[D].Chengdu:University of Electronic Science and Technology,2014.
    [38]Zhu J,Chen Q,Kutsanedzie F,et al.Highly sensitive and label-free determination of thiram residue using surface-enhanced Raman spectroscopy(SERS)coupled with paper-based microfluidics[J].Anal Methods,2017,9(43):6186-6193.
    [39]Chen Q,Hassan MM,Xu J,et al.Fast sensing of imidacloprid residue in tea using surface-enhanced Raman scattering by comparative multivariate calibration[J].Spectr Acta A,2019,211:86-93.
    [40]蔺磊.表面增强拉曼光谱(SERS)定性定量分析茶叶中农药残留的方法研究[D].南昌:江西农业大学,2014.Lin L.Method for qualitative and quantitative analysis of pesticide residues in tea by surface enhanced Raman spectroscopy(SERS)[D].Nanchang:Jiangxi Agricultural University,2014.
    [41]李凌.武夷茶中苯醚甲环唑的残留检测[J].山东农业大学学报(自然科学版),2017,48(6):57-900.Li L.Residual detection of difenoconazole in Wuyi tea[J].J Shandong Agric Univ,2017,48(6):57-900.
    [42]Ma CH,Zhang J,Hong YC,et al.Determination of carbendazim in tea using surface enhanced Raman spectroscopy[J].Chin Chem Lett,2015,26(12):1455-1459.
    [43]郑华军,王骏,倪德江,等.表面增强拉曼散射中贵金属纳米材料的研究进展[J].材料导报,2016,(S1):17-23.Zheng HJ,Wang J,Ni DJ,et al.Progress of noble metal nanomaterials in surface-enhanced Raman scattering[J].Materials Report,2016,(S1):17-23.
    [44]Zheng H,Ni D,Yu Z,et al.Preparation of SERS-active substrates based on graphene oxide/silver nanocomposites for rapid zdetection of l-theanine[J].Food Chem,2017,217:511-516.
    [45]钟洁,黄青.基于不同大小SiO2@Au纳米粒子的SERS技术检测多氯联苯[J].光散射学报,2018,30(4):325-331.Zhong J,Huang Q.Detection of polychlorinated biphenyls by SERS based on SiO2@Au nanoparticles of different sizes[J].J Light Scatt,2018,30(4):325-331.
    [46]Yang C,Liang P,Tang L,et al.Synergistic effects of semiconductor substrate and noble metal nano-particles on SERS effect both theoretical and experimental aspects[J].Appl Surf Sci,2017:S0169433217336620.
    [47]刘传朴,朱静.卤素离子对喹哪啶酸SERS光谱的影响[J].中国化学物理杂志,1991,(3):204-208.Liu CP,Zhu J.Effect of halogen ions on SERS spectra of quinaridinic acid[J].Chin J Chem Phys,1991,(3):204-208.
    [48]Xu ML,Gao Y,Han XX,et al.Detection of pesticide residues in food using surface-enhanced Raman spectroscopy:A review[J].J Agric Food Chem,2017,65(32):6719.
    [49]Kubackova J,Fabriciova G,Miskovsky P,et al.Sensitive surfaceenhanced Raman spectroscopy(SERS)detection of organochlorine pesticides by alkyl dithiol-functionalized metal nanoparticles-induced plasmonic hot spots[J].Anal Chem,2015,87(1):663-669.
    [50]Guerrini L,Aliaga AE,Cárcamo J,et al.Functionalization of Ag nanoparticles with the bis-acridinium lucigenin as a chemical assembler in the detection of persistent organic pollutants by surface-enhanced Raman scattering[J].Anal Chim Acta,2008,624(2):286-293.
    [51]段凌风,徐璐,王李冬.基于PCA-BP神经网络的合成色素SERS信号判别[J].电脑知识与技术,2017,13(11):196-198.Duan LF,Xu L,Wang LD.SERS signal discrimination of synthetic pigments based on PCA-BP neural network[J].Computer Knowl Technol,2017,13(11):196-198.

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