现代食品科技2017，Vol.33Issue(4)：289-294,6.DOI:10.13982/j.mfst.1673-9078.2017.4.044
近红外光谱结合膜富集技术测定大米中毒死蜱农药残留
Determination of Chlorpyrifos Pesticide Residues in Rice by NIR Spectroscopy Coupled with a Membrane Enrichment Technique
摘要
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.关键词
近红外光谱/样品预处理/特征变量筛选/农药残留/毒死蜱Key words
near-infrared spectroscopy/sample pretreatment/characteristic variable selection/pesticide residues/chlorpyrifos pesticide引用本文复制引用
严寒,郭平,骆鹏杰,文建萍,范苑,纪炜达,吴瑞梅,樊十全..近红外光谱结合膜富集技术测定大米中毒死蜱农药残留[J].现代食品科技,2017,33(4):289-294,6.基金项目
“十二五”国家科技支撑计划项目(2012BAK17B02)资助 （2012BAK17B02）
