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Non-destructive detection of pesticide residues in cucumber using visible/near-infrared spectroscopy.
- Source :
-
Food Additives & Contaminants. Part A: Chemistry, Analysis, Control, Exposure & Risk Assessment . Jun2015, Vol. 32 Issue 6, p857-863. 7p. - Publication Year :
- 2015
-
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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 19440049
- Volume :
- 32
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- Food Additives & Contaminants. Part A: Chemistry, Analysis, Control, Exposure & Risk Assessment
- Publication Type :
- Academic Journal
- Accession number :
- 102578258
- Full Text :
- https://doi.org/10.1080/19440049.2015.1031192