DOI: 10.12187/2023.06.006
A non-targeted detection method of multi-pesticide residues in cowpea based on OMWTTFA
LI Pao
SU Guanglin
LI Caiting
YANG Qinghua
Abstract：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 the moving window target transfer factor analysis(MWTTFA)algorithm.And a new method for non-targeted detection of multi-pesticide residues in cowpea was established by combining with gas chromatography-mass spectrometry(GC-MS).A mass spectrometry database of 500 common pesticides was established and high throughput analysis of cowpea GC-MS data was realized by using OMWTTFA algorithm.The method was verified with actual cowpea and spiked samples.The results showed that the method could realize non-targeted detection of all pesticide residues in the two groups of spiked cowpea samples within 30 min retention time,while no pesticide residues were detected in the actual cowpea samples.The matc-hing values of all components were larger than 800‰,and this method was more accurate than MWTTFA algo-rithm.The above results showed that this method promised to become a new way for non-targeted and high-through-put detection of multi-pesticide residues in fruits and vegetables.
Keywords：cowpeapesticide residuesnon-targeted detectionoptimize moving window target transfer factor analy-sisgas chromatography-mass spectrometry
Publication Date：2023-12-15
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 46-51 )