Non-destructive detection of pesticide residues in cucumber using visible/near-infrared spectroscopy

Food Additives & Contaminants. Part A, Chemistry, Analysis, Control, Exposure & Risk Assessment
Bahareh JamshidiAhmad Sharifi

Abstract

The feasibility of using visible/near-infrared (Vis/NIR) spectroscopy was assessed for non-destructive detection of diazinon residues in intact cucumbers. Vis/NIR spectra of diazinon solution and cucumber samples without and with different concentrations of diazinon residue were analysed at the range of 450-1000 nm. Partial least squares-discriminant analysis (PLS-DA) models were developed based on different spectral pre-processing techniques to classify cucumbers with contents of diazinon below and above the MRL as safe and unsafe samples, respectively. The best model was obtained using a first-derivative method with the lowest standard error of cross-validation (SECV = 0.366). Moreover, total percentages of correctly classified samples in calibration and prediction sets were 97.5% and 92.31%, respectively. It was concluded that Vis/NIR spectroscopy could be an appropriate, fast and non-destructive technology for safety control of intact cucumbers by the absence/presence of diazinon residues.

References

Jan 14, 2010·Pest Management Science·María-Teresa SánchezDolores Pérez-Marín
Jun 13, 2012·Shokuhin eiseigaku zasshi. Journal of the Food Hygienic Society of Japan·Takahide KondoMotonobu Miyazaki
Aug 3, 2012·Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy·Congying GuJianping Xu

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Citations

Aug 14, 2020·Molecules : a Journal of Synthetic Chemistry and Natural Product Chemistry·Min JiaXin Bing
Apr 17, 2021·Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy·Yi LuFei Liu

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BETA
chemical treatments
biosensor
PCA

Software Mentioned

Unscrambler
OOIBase32
CAMO

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