title: Non-destructive detection of pesticide residues in cucumber using visible/near-infrared spectroscopy.
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.
authors: a Agricultural Engineering Research Institute, Agricultural Research Education and Extension Organization (AREEO) , Karaj , Iran.
authors: Bahareh
authors: B
authors: Jamshidi
authors: Ezeddin
authors: E
authors: Mohajerani
authors: Jamshid
authors: J
authors: Jamshidi
authors: Saeid
authors: S
authors: Minaei
authors: Ahmad
authors: A
authors: Sharifi
mesh_terms: D018553:Cucumis sativus / Q000737:chemistry*; D003976:Diazinon / Q000032:analysis*; D005506:Food Contamination / Q000032:analysis*; D007492:Iran; D016018:Least-Squares Analysis; D008962:Models, Theoretical; D010573:Pesticide Residues / Q000032:analysis*; D019265:Spectroscopy, Near-Infrared
chemical_list: D010573:Pesticide Residues; D003976:Diazinon
keywords: cucumber; diazinon; maximum residue level; near-infrared spectroscopy; non-destructive; pesticide residues