Study of Rapid Detection of Carbaryl Pesticide Residues in Pakchoi Based on SERS Technology
HUANG Shuang-gen1, 2, WANG Xiao1, 2, WU Yan2, 3*, LIU Mu-hua1, 2
1. Collaborative Innovation Center of Post-Harvest Key Technology and Quality Safety of Fruits and Vegetables in Jiangxi Province, Nanchang 330045, China
2. Key Laboratory of Modern Agricultural Equipment,Jiangxi Agricultural University,Nanchang 330045,China
3. Computer Information and Engineering College, Jiangxi Agricultural University, Nanchang 330045, China
Abstract:Carbaryl is a broad-spectrum and efficient carbamate pesticide. In this study, we proposed a surface-enhanced Raman scattering (SERS) approach for quantitative and qualitative analysis of carbaryl residues in pakchoi. Density functional theory(DFT) calculations with Gaussian 03 using B3LYP/6-311G basis sets were executed. The experimental vibrational spectrum and theoretical spectrum of carbaryl were contrasted for its assignments of Raman peaks. Magnesium sulfate, PSA, carbopack and C18 were used to remove the influences of fluorescent substances in pakchoi. The limit of detection can achieve the standard of 0.976 mg·L-1 for carbaryl pesticide residues in pakchoi. Primordial spectra were pretreated by three methods of MSC, SNV and Normalization, and then the spectra were used to construct the pesticide residues models by the method of Partial Least Squares (PLS). Based on the results of PLS, carbaryl residues extracted from pakchoi can be predicted by the MSC model with a lower root mean square error of prediction (RMSEP=1.71 mg·L-1) and higher correlation coefficient in the prediction set (Rp=0.986 5) value. It shows that the model of MSC can accurately predict the carbaryl pesticide residues extracted from pakchoi. Five unknown carbaryl concentration pakchoi samples were prepared for prediction model precision, and the values of relative deviation were calculated to be between 1.98% and 7.28%, and the predicted recovery rates were calculated to be between 95.73% and 107.28%. The T value is 0.397, which is smaller than t0.05, 4=2.776. These demonstrate that there is not evident difference between the measured and predicted values. This study illustrates that SERS method serves as an efficient method for the detection of carbaryl pesticide residues extracted from pakchoi quickly and reliably.
Key words:Pakchoi; Carbaryl; Density functional theory (DFT); SERS; PLS; Rapid detection
黄双根,王 晓,吴 燕,刘木华. SERS技术的小白菜中西维因农药残留检测[J]. 光谱学与光谱分析, 2019, 39(01): 130-136.
HUANG Shuang-gen, WANG Xiao, WU Yan, LIU Mu-hua. Study of Rapid Detection of Carbaryl Pesticide Residues in Pakchoi Based on SERS Technology. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(01): 130-136.
[1] Fan Yuxia, Lai Keqiang, Rasco Barbara A, et al. LWT-Food Science and Technology, 2015, 60(1): 352.
[2] Seebunrueng Ketsarin, Santaladchaiyakit Yanawath, Srijaranai Supalax. Chemosphere, 2014, 103: 51.
[3] Beale David J, Kaserzon Sarit L, Porter Nichola A, et al. Talanta, 2010, 82(2): 668.
[4] Assoumani A, Margoum C, Guillemain C, et al. Analytical and Bioanalytical Chemistry, 2014, 406(11): 2559.
[5] Tong Yanling, Xue Jian, Wu Xiaobo. Analytical Letters, 2013, 46(4): 615.
[6] Moskovits Martin. Reviews of Modern Physics, 1985, 57(3): 783.
[7] Fleischmann M, Hendra P J, McQuillan A J, et al. Journal of Raman Spectroscopy, 1976, 4: 269.
[8] Creighton J Alan, Blatchford Christopher G, Albrecht M Grant. Journal of the Chemical Society, Faraday Transactions 2, 1979, 75: 790.
[9] Creightion J A. Surface Science, 1983, 124: 209.
[10] Santos Elias De Barros, Lima Elaine Cristina Nogueira Lopes, Oliveira Cristine Santos De, et al. Analytical Methods, 2014, 6(11): 3564.
[11] Trouvé Pascal, Calvez Marie-Laure, Moisan Stéphanie, et al. Anal. Methods, 2015, 7(1): 226.
[12] Fang Cheng, Brodoceanu Daniel, Kraus Tobias, et al. RSC Advances, 2013, 3(13): 4288.
[13] Kim Hee Jin, Lee Chul Jae, Karim Mohammad Rezaul, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2011, 78(1): 179.
[14] Clauson Susan L, Sylvia James M, Arcury Thomas A, et al. Applied Spectroscopy, 2015, 69(7): 785.
[15] Dhakal Sagar, Li Yongyu, Peng Yankun, et al. Journal of Food Engineering, 2014, 123: 94.
[16] Clauson Susan L, Sylvia James M, Arcury Thomas A, et al. Applied Spectroscopy, 2015, 69(7): 785.
[17] Liu Bin, Zhou Peng, Liu Xiaoming, et al. Food and Bioprocess Technology, 2013, 6(3): 710.
[18] Pang S, Labuza T P, He L. Analyst, 2014, 139(8): 1895.
[19] Xie Yunfei, Mukamurezi Godelieve, Sun Yingying, et al. European Food Research and Technology, 2012, 234(6): 1091.
[20] Wijaya Wisiani, Pang Shintaro, Labuza Theodore P, et al. Journal of Food Science, 2014, 79(4): T743.
[21] Kubackova Jana, Fabriciova Gabriela, Miskovsky Pavol, et al. Analytical Chemistry, 2015, 87(1): 663.
[22] Fodjo Essy K, Riaz Sara, Li Da-Wei, et al. Analytical Methods, 2012, 4(11): 3785.
[23] Hou Ruyan, Pang Shintaro, He Lili. Anal. Methods, 2015, 7(15): 6325.
[24] Xie Yunfei, Mukamurezi Godelieve, Sun Yingying, et al. European Food Research and Technology, 2012, 234(6): 1091.
[25] Deval Vipin, Kumar Amit, Gupta Vineet, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2014, 132: 15.
[26] He Lili, Lin Mengshi, Li Hao, et al. Journal of Raman Spectroscopy, 2009: 739.
[27] HUANG Shuang-gen, WU Yan, HU Jian-ping, et al(黄双根, 吴 燕, 胡建平, 等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2016,32(6): 296.
[28] Liu Bin, Zhou Peng, Liu Xiaoming, et al. Food and Bioprocess Technology, 2013, 6(3): 710.
[29] Fan Yuxia, Lai Keqiang, Rasco Barbara A, et al. LWT-Food Science and Technology, 2015, 60(1): 352.