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| Application of SERS Technology in the Detection of Harmful Chemical Residues in Agricultural Products |
| YANG De-hong1,2, ZHANG Lei-lei1,2, ZHU Cheng1,2* |
1. College of Life Sciences, China Jiliang University, Hangzhou 310000, China
2. Key Laboratory of Marine Food Quality and Hazard Control Technology in Zhejiang Province, Hangzhou 310018, China |
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Abstract Food safety issues, especially those related to pesticides and antibiotics residues, have aroused widespread concern in recent years. Therefore, the detection of pesticides, antibiotics and other harmful residues in agricultural products is an indispensable step for guaranteeing the national food safety, consumer's health and promoting economic and trade development. As an emerging detection method, Surface-enhanced Raman scattering (SERS) has the advantages of simple operation, short operation time and high sensitivity. A brief introduction on SERS, the SERS enhancement theory and SERS active substrate is given first of all. The paper focuses on the current research status of SERS in the field of pesticides residue detection in agricultural products (such as animal meat, aquatic products, fruits and vegetables and other agricultural products, etc.). Traditional colloids substrate has the characteristics of low cost, easy synthesis and excellent Performance of SERS. In order to improve the enhancement effect, many researchers optimize the size and morphology of the substrate to form flower-shaped nanostructure, star nanostructure, rod nanostructure and chain nanostructure and other forms of colloids particles. In order to improve the performance and stability of colloidal substrates, a series of core-shell nanostructures have been developed based on the synergy of composite materials. The solid substrate structure is stable and has good consistency and repeatability. There are three kinds of flexible substrates, SERS substrate based on flexible devices, SERS substrate based on flexible polymer and SERS substrate based on flexible carbon material, which has the advantages of excellent mechanical properties, not easy to damage and low cost, which is conducive to the realization of minimally invasive or non-destructive detection. The review summarized and compared these different studies of SERS methods, which could be used to detect pesticides, antibiotics and other harmful residues in agricultural products based on different substrates, different agricultural products, different pesticides. The sensitivity of the current study is relatively high, which shows the application potential of SERS technology combined with nano substrates in detecting pesticide residues in a complex matrix. At the same time, there are still great challenges for the application of SERS technology in the pesticides residue analysis.（1）Low pesticides residues and uneven distribution of pesticides in agricultural products lead to relatively weak Raman signals, which are susceptible to fluorescence and background noise.（2）The complex matrix of agricultural products has a great influence on the SERS spectral data.（3）The current SERS detection method has not been standardized, and the results of different detection schemes are quite different. Surface-enhanced Raman scattering, whether it is the detection technology or the support theory is progressing, are given for a broader application prospect in food safety.
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Received: 2020-04-20
Accepted: 2020-07-05
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Corresponding Authors:
ZHU Cheng
E-mail: pzhch@cjlu.edu.cn
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[1] Podhorniak L V, Negron J F, Griffith F D. Journal of AOAC INTERNATIONAL, 2019，84(3): 873.
[2] Panofarias N S, Ceballosmagana S G, Munizvalencia R, et al. Journal of Food and Drug Analysis, 2017, 25(3): 501.
[3] Wu C. Food Chemistry, 2017, 229: 580.
[4] Morenogonzalez D, Perezortega P, Gilbertlopez B, et al. Journal of Chromatography A, 2017, 1512: 78.
[5] Pang S, Yang T, He L. TrAC Trends in Analytical Chemistry, 2016, 85: 73.
[6] Tang S, Li Y, Huang H, et al. ACS Applied Materials & Interfaces, 2017, 9(8): 7472.
[7] Salem S, Sakir M, Sahin K, et al. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2020, 589: 124436.
[8] Pang Y, Wan N, Shi L, et al. Analytica Chimica Acta, 2019, 1077: 288.
[9] Erzina M, Trelin A, Guselnikova O, et al. Sensors and Actuators B: Chemical, 2020, 308: 127660.
[10] Xie J, Li L, Khan I M, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2020, 231: 118104.
[11] Le Ru E C, Blackie E, Meyer M, et al. The Journal of Physical Chemistry C, 2007, 111(37): 13794.
[12] Lee J, Park J, Mun H, et al. Food Chemistry, 2018, 254: 109.
[13] Boca S, Farcau C, Astilean S A. Nuclear Instruments & Methods in Physics Research B, 2009, 267(2): 406.
[14] Wali L A, Hasan K K, Alwan A M. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2019, 206: 31.
[15] Li J L, Sun D W, Pu H, et al. Food Chemistry, 2017, 218: 543.
[16] Li Y, Tang S, Zhang W, et al. Sensors and Actuators: B. Chemical, 2019, 282: 703.
[17] Luo H, Huang Y, Lai K, et al. Food Control, 2016, 68: 229.
[18] Feng S, Hu Y, Ma L, et al. Sensors and Actuators B: Chemical, 2017, 241: 750.
[19] PENG Yi-jie，LIU Mu-hua，ZHAO Jin-hui, et al(彭义杰, 刘木华, 赵进辉, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2017, 37(12): 3736.
[20] Chen X, Lin M, Sun L, et al. Food Chemistry, 2019, 293: 271.
[21] Yaseen T, Sun D-W, Pu H, et al. Food Analytical Methods, 2018, 11(9): 2518.
[22] Alsammarraie F K, Lin M. Journal of Agricultural & Food Chemistry, 2017, 65(3): 666.
[23] Wu H, Luo Y, Hou C, et al. Talanta, 2019, 200: 84.
[24] Chen Q, Hassan M, Xu J, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2019, 211: 86.
[25] Huang D, Zhao J, Wang M, et al. Food Control, 2020, 108: 106835.
[26] Zhu J, Liu M J, Li J J, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2018, 189: 586.
[27] Xu Q, Guo X, Xu L, et al. Sensors and Actuators B: Chemical, 2017, 241: 1008.
[28] Jiao A, Dong X, Zhang H, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2019, 209: 241.
[29] Yaseen T, Pu H, Sun D. Talanta, 2019, 196: 537.
[30] XU Nian-wei, HUANG Yi-qun, LAI Ke-qiang(徐念薇, 黄轶群, 赖克强). Food &Machinery(食品与机械), 2019, 35(5): 72.
[31] Wang W, Sang Q, Yang M, et al. Science of the Total Environment, 2020, 702: 134956.
[32] Muhammad M, Yao G, Zhong J, et al. Talanta, 2020, 207: 120324.
[33] Wang K, Sun D W, Pu H, et al. Food Chemistry, 2020, 310: 125923.
[34] Zhu J, Lin G, Wu M, et al. Nanomaterials, 2018, 8(7): 520.
[35] Deng D, Lin Q, Li H, et al. Talanta, 2019, 200: 272.
[36] Lee M, Oh K, Choi H K, et al. ACS Sensors, 2018, 3(1): 151.
[37] Mekonnen M L, Chen C H, Osada M, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2020, 225: 117484.
[38] Gong X, Tang M, Gong Z, et al. Food Chemistry, 2019, 295: 254.
[39] YANG Huan-di, LIN Xiang, LIU Yuan-lan, et al(杨焕娣，林 翔，刘远兰，等). Spectroscopy and Spectral Analysis（光谱学与光谱分析），2018, 38(1): 99.
[40] Hong J, Kawashima A, Hamada N. Applied Surface Science, 2017, 407: 440.
[41] Kumar S, Goel P, Singh J P. Sensors and Actuators B: Chemical, 2017, 241: 577.
[42] Alyami A, Quinn A J, Iacopino D. Talanta, 2019, 201: 58.
[43] Zhang L L, Li X D, Liu W H, et al. Journal of Materials Chemistry C, 2019, 7(48): 15259.
[44] Wang P, Wu L, Lu Z, et al. Analytical Chemistry, 2017, 89(4): 2424.
[45] Sun H, Liu H, Wu Y. Materials Letters, 2017, 207: 125.
[46] Luo W, Chen M, Hao N, et al. Talanta, 2019, 197: 225.
[47] Ouyang L, Yao L, Zhou T, et al. Analytica Chimica Acta, 2018, 1027: 83.
[48] Sun H, Liu H, Wu Y. Applied Surface Science, 2017, 416: 704.
[49] Gonzalez Fa A, Pignanelli F, Lopezcorral I, et al. TrAC: Trends in Analytical Chemistry, 2019, 121: 115673.
[50] Chen W, Kang Y, Zhang H, et al. Chinese Chemical Letters, 2019, 30(5): 1027.
[51] Dhakal S, Chao K, Huang Q, et al. Sensors, 2018, 18(2): 424.
[52] LI Yao, LIU Mu-hua, YUAN Hai-chao, et al(李 耀，刘木华，袁海超，等). Journal of Analytical Science(分析科学学报), 2018, 34(3): 367.
[53] Li H, Jiang J, Wang Z, et al. Journal of Colloid and Interface Science, 2017, 501: 86.
[54] Jiang Y, Sun D, Pu H, et al. Talanta, 2019, 197: 151.
[55] Liu Y, Zhou F, Wang H, et al. Sensors and Actuators B: Chemical, 2019, 299: 126990.
[56] Sun M, Li B, Liu X, et al. Journal of Materials Science & Technology, 2019, 35(10): 2207.
[57] Wang M L, Shi G C, Zhu Y Y, et al. Nanomaterials, 2018, 8(5): 289.
[58] Yan X, Wang Y, Shi G, et al. Optik, 2018, 172: 812.
[59] Yan X, Wang M, Sun X, et al. Applied Surface Science, 2019, 479(JUN. 15): 879.
[60] Li H, Wang M, Shen X, et al. Journal of Environmental Management, 2019, 249: 109387.
[61] Shi G, Wang M, Zhu Y, et al. Optics Communications, 2018, 412: 28.
[62] Feng J, Hu Y, Grant E, et al. Food Chemistry, 2018, 239: 816.
[63] Zhang H, Sun L, Zhang Y, et al. Chinese Chemical Letters, 2018, 29(6): 981.
[64] Shi Q Q, Huang J, Sun Y N, et al. Microchimica Acta, 2018, 185(2): 84.
[65] SUN Lin，ZHANG Han，DU Yi-ping（孙 琳, 张 涵, 杜一平）. Chemical Journal of Chinese Universities（高等学校化学学报）, 2018, 39(3): 455.
[66] Wang M C, Wang Y, Qiao Y, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2019, 222: 117116. |
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