表面增强拉曼光谱检测脐橙果皮混合农药残留

发布时间：2018-03-28 14:00

本文选题：农药　切入点：光谱分析　出处：《农业工程学报》2017年02期

【摘要】：为了研究果皮农药残留快速检测方法。该文以脐橙为例,混合农药(亚胺硫磷和乐果)为研究对象,选用银纳米线作为增强基底,利用共焦显微拉曼光谱仪对农药残留进行检测。通过表面增强拉曼光谱(surface enhanced Raman scattering,SERS)技术,采集脐橙表皮混合农药残留的SERS光谱。对混合农药定性分析,银纳米线对2种农药都有较好的增强效果。对采集的光谱进行预处理后,建立模型,进行定量分析,研究结果表明,经过二阶微分预处理后光谱数据结合偏最小二乘法(partial least squares,PLS)得到的模型预测效果最好,预测相关系数(R_p)为0.954,其预测均方根误差(root-mean-square prediction error,RMSEP)为4.822 mg/L。挑选两种农药特征峰的特征波段,混合农药中亚胺硫磷的特征波段经多元散射校正(multiplicative scatter correction,MSC)处理后,建模效果较好,其中R_p为0.898,RMSEP为6.621 mg/L;混合农药中乐果的特征波段经基线校正处理后,建模效果较好,其中R_p为0.911,RMSEP为7.369 mg/L。研究结果表明SERS技术是一种快速、可靠的检测混合农药残留的方法。
[Abstract]:In order to study the rapid detection method of pesticide residues in pericarp, the navel orange was taken as an example, the mixed pesticide (iminphosphos and dimethoate) was used as the object of study, and silver nanowires were selected as the enhancement substrate. The pesticide residues were detected by confocal micro-Raman spectrometer. The SERS spectra of mixed pesticide residues in navel orange epidermis were collected by surface-enhanced Raman spectroscopy (SERS) technique. The mixed pesticides were qualitatively analyzed. Silver nanowires have a good enhancement effect on both pesticides. After pretreatment of the collected spectra, the model is established and quantitative analysis is carried out. The results show that, After the second order differential preprocessing, the model with partial least squares and partial least square method is the best, the correlation coefficient of prediction is 0.954, and the root-mean-square prediction error of root-square prediction error is 4.822 mg / L. the characteristic bands of the two characteristic peaks of pesticides are selected, the correlation coefficient is 0.954, and the root-mean-square prediction error is 4.822 mg 路L ~ (-1), and the correlation coefficient of prediction is 0.954, and the root-mean-square root-mean-square prediction error error (RMS) is 4.822 mg / L. The modeling effect of the characteristic band of iminphos-thioate in mixed pesticides was better after the treatment of multiple scattering correction scatter correction MSCS (R _ p = 0.898g / L), the characteristic band of dimethoate in mixed pesticide was treated by baseline correction, and the modeling effect was better. The results showed that SERS was a rapid and reliable method for the detection of pesticide residues.
【作者单位】：华东交通大学机电与车辆工程学院光机电技术及应用研究所;
【基金】：南方山地果园智能化管理技术与装备协同创新中心(赣教高字[2014]60号) 华东交通大学校立科研基金项目(14JD01)资助江西省载运工具与装备重点实验室资助
【分类号】：S481.8;O657.37

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