Abstract:Surface-enhanced Raman spectroscopy (SERS) combined with chemometrics method was used to rapidly detect triazophos residues in navel orange peel. Acetonitrile was used to rapidly produce navel orange peel extract. Graphite carbon, C18 and Periodic acid-Schiff (PSA) were used to remove interferences, e.g., pigments from the navel orange peel extracts. The obtained extracts were used as the base to prepare triazophos solutions of different concentrations and their signals were collected by laser Raman spectrometer. The resultant Raman characteristic peaks were largely consistent with those of triazophos standard solution. A partial least-squares regression model was developed to predict residual triazophos content in navel orange peel. The results showed that the minimum detection concentration for triazophos in solutions of navel orange peel extract was 0.8 mg/L, the root mean square error of the model’s prediction was 1.60 mg/L, and the correlation coefficient was 0.9669. When this method was used to detect the actual triazophos residue in navel orange peel, the absolute values of the relative error were between 0.08% and 5.98%, while the prediction recoveries were 94.36% to 104.36%. The results of this study demonstrated good predicting ability and reproducibility of the model.
