期刊文献+

表面增强拉曼光谱快速检测西瓜中甲基异柳磷农药残留 被引量:7

Rapid detection of isofenphos-methyl in watermelon based on surface enhanced raman spectroscopy
下载PDF
导出
摘要 为实现西瓜中甲基异柳磷农药残留的快速检测,本文利用表面增强拉曼光谱技术结合化学计量学方法建立了西瓜中甲基异柳磷农药残留的快速检测模型。结果表明,甲基异柳磷在1043 cm^(-1)处有最强的拉曼峰,在0~5μg/g的浓度范围内其强度随甲基异柳磷浓度增强而增强。对西瓜中甲基异柳磷农药的原始表面增强拉曼光谱进行预处理后建立主成分分析模型,得到最低检测限为0.01μg/g,再建立偏最小二乘模型,对模型进行验证,分析得出农药浓度在0~5μg/g时模型的校正集相关系数与验证集相关系数分别为0.9960和0.9952,模型的校正均方根误差(RMSEC)和验证均方根误差(RMSECV)分别为0.163和0.183。结果表明,利用表面增强拉曼光谱技术可以实现西瓜中甲基异柳磷农药残留的快速检测。 In this study,in order to detect isofenphos-methyl pesticide residues in watermelon fastly,the amount of isofenphosmethyl in watermelon was determined by using surface-enhanced raman spectroscopy( SERS) and a rapid prediction model was built by chemometrics methods. Our study showed that the characteristic Raman peak of isofenphos-methyl was located in1043 cm^-1,and its intensity changes with the concentration of isofenphos-methyl between 0 -5 μg/g.Then the model was established by using principal component analysis( PCA),the detection limit were analysed to be 0.01 μg/g. The prediction model was created by using partial least squares( PLS) after the original Raman spectra had been preprocessed.The performance of the model was tested,the correlation coefficient of calibration and validation were 0.9960 and 0.9952,respectively. And the root mean square error of calibration( RMSEC) and validation( RMSECV) were 0.163 and 0.183,which indicated that the model was reliable.This study proved that SERS method was capable of providing a simpler and more sensitive way to identify and detect isofenphos-methyl pesticide residues in watermelon.
出处 《食品工业科技》 CAS CSCD 北大核心 2017年第20期288-291,322,共5页 Science and Technology of Food Industry
基金 海南省自然科学基金(20163058) 海南自然科学基金创新研究团队项目(2017CXTD001)
关键词 甲基异柳磷 表面增强拉曼光谱 偏最小二乘 快速检测 isofenphos- methyl SERS PLS rapid detection
  • 引文网络
  • 相关文献

参考文献8

二级参考文献55

共引文献87

同被引文献83

引证文献7

二级引证文献27

;
使用帮助 返回顶部