Determination of dimethoate and phosmet pesticides with surface-enhanced Raman spectroscopy |
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Authors: | Yande Liu Bing Ye Changlan Wan Yong Hao Aiguo Ouyang Yubin Lan |
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Institution: | 1. School of Mechatronics Engineering, East China Jiaotong University, Nanchang, Chinajxliuyd@163.com;3. School of Mechatronics Engineering, East China Jiaotong University, Nanchang, China;4. U.S. Department of Agriculture (USDA), Agricultural Research Service (ARS), Southern Plain Agricultural Research Center, College Station, TX, USA |
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Abstract: | ABSTRACTSurface-enhanced Raman spectroscopy spectra of dimethoate and phosmet pesticides were recorded using a Klarite substrate. Significant enhancements were achieved with dimethoate over a concentration range of 0.5–10 µg mL?1 and phosmet over a concentration range of 0.1–10 µg mL?1. The best prediction model for dimethoate pesticide was achieved with a correlation coefficient of 0.940 and a root mean square error of prediction of 0.864 µg mL?1, with the first derivative and standard normalized variate data preprocessing, and the best prediction model of phosmet pesticide was achieved with a correlation coefficient of 0.949 and a root mean square error of prediction of 0.741 µg mL?1 with the first derivative data preprocessing. Our study shows that pesticides, including dimethoate and phosmet, could be quantitatively measured at as low as 0.5 µg mL?1 level using surface-enhanced Raman technology coupled with a Klarite substrate and the results indicated that surface-enhanced Raman spectroscopy with a Klarite substrate has potential for the analysis of dimethoate and phosmet residues. |
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Keywords: | Data preprocessing dimethoate and phosmet pesticides partial least squares regression surface-enhanced Raman spectroscopy |
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