Determination of Chlorpyrifos Pesticide Residues in Rice by NIR Spectroscopy Coupled with a Membrane Enrichment Technique
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Abstract:
Fiber filters were used in this study to accumulate trace pesticide residues in rice in order to improve the detection limit for near-infrared (NIR) spectroscopy. Rice samples containing pesticide residues were prepared by spraying different concentrations of chlorpyrifos standard solutions onto non-contaminated rice. Acetonitrile was used to extract the chlorpyrifos from the rice, the extracted liquid was concentrated using a nitrogen-blowing instrument, and filter papers were used to collect the pesticide from the extracted liquid. After vacuum freeze-drying, the diffuse reflectance NIR spectra of filters were recorded using an NIR spectrometer. The results indicated that a model with a good performance could be established when the subinterval [3 4 5 10] was selected from the full spectral region using synergy interval partial least square (siPLS) algorithm, and 80 optimal variables were selected from the subinterval using a genetic algorithm (GA). Within the concentration range of 0.46~11.20 mg/kg, the correlation coefficient of the model for the samples in the prediction set (Rp) was 0.9798 with a root mean square error of prediction (RMSEP) of 0.604 mg/kg. The contents of chlorpyrifos pesticide in four rice samples were predicted by this model, and the prediction values were consistent with the measured values. The results show that this method can detect trace pesticide residues in rice effectively and quickly.
