Journal
FOOD ANALYTICAL METHODS
Volume 10, Issue 5, Pages 1202-1208Publisher
SPRINGER
DOI: 10.1007/s12161-016-0677-1
Keywords
SERS; Pesticide; Isofenphos-methyl; Corn; PLS
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Funding
- National Natural Science Foundation of China [31601426]
- Natural Science Foundation of Hainan Province [20163058, 20152018]
- Research Start-up Fund Project of Hainan University [kyqd1521]
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Residual pesticides in agricultural production are one of the major food safety concerns around the world. In this study, we investigated the amount of isofenphos-methyl in corns by using surface-enhanced Raman spectroscopy (SERS) coupled with chemometric methods. The highest isofenphos-methyl peak at 1043 cm(-1) was used to detect and quantify the amount of isofenphos-methyl spiked in methanol-water (1:1) solvent and corns. The limits of detection (LODs) of isofenphos-methyl in methanol-water solvent and corns were 0.01 mu g/mL and 0.01 mu g/g, respectively. Quantitative detection of isofenphos-methyl residues (0-5 mu g/mL) was conducted using partial least squares (PLS) model. Based upon the results of leave-one-out cross-validation, isofenphos-methyl could be predicted by PLS (the correlation coefficient was 0.9964) with a low root mean square error of calibration (RMSEC=0.146). The developed SERS method provides a much simpler and more sensitive way to monitor isofenphos-methyl for safe production of corns, which can be extended to the other agricultural products.
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