期刊论文

A non-targeted detection method of multi-pesticide residues in cowpea based on OMWTTFA

中文

轻工学报

2096-1553

2023

38

6

46-51

10.12187/2023.06.006

31601551:国家自然科学基金 2019M650187:中国博士后科学基金面上项目 2023JJ30290:湖南省自然科学基金项目 21A0127:湖南省教育厅科学研究项目 QL20220173:湖南省研究生科研创新项目

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针对豇豆多农药残留检测难度不断增大的问题,在移动窗口目标转换因子分析(MWTTFA)算法基础上增加了自适应迭代重加权惩罚最小二乘计算步骤,提出一种优化移动窗口目标转换因子分析(OMWT-TFA)算法,结合气相色谱-质谱(...展开更多 针对豇豆多农药残留检测难度不断增大的问题,在移动窗口目标转换因子分析(MWTTFA)算法基础上增加了自适应迭代重加权惩罚最小二乘计算步骤,提出一种优化移动窗口目标转换因子分析(OMWT-TFA)算法,结合气相色谱-质谱(GC-MS)联用技术,建立一种豇豆多农药残留非靶向检测新方法。通过建立500种常见农药MS数据库,利用OMWTTFA算法对豇豆GC-MS数据进行高通量解析,采用实际豇豆样...

To the increasing difficulty of the detection of multi-pesticide residues in cowpea,optimized moving window target conversion factor analysis(OMWTTFA)algorithm was proposed,in which an adaptive iterative re-weighted penalized least squares calculation had been added to ...MORE To the increasing difficulty of the detection of multi-pesticide residues in cowpea,optimized moving window target conversion factor analysis(OMWTTFA)algorithm was proposed,in which an adaptive iterative re-weighted penalized least squares calculation had been added to th...