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J Agric Food Chem. 2018 Sep 19;66(37):9573-9581. doi: 10.1021/acs.jafc.8b03468. Epub 2018 Sep 11.

Perspectives on Liquid Chromatography-High-Resolution Mass Spectrometry for Pesticide Screening in Foods.

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Center for Food Safety and Applied Nutrition , United States Food and Drug Administration , 5001 Campus Drive , College Park , Maryland 20740 , United States.
Calgary Laboratory , Canadian Food Inspection Agency , 3650 36th Street Northwest , Calgary , Alberta T2L 2L1 , Canada.
Center for Analytical Chemistry , California Department of Food and Agriculture , 3292 Meadowview Road , Sacramento , California 95832 , United States.
Shanghai Institute for Food and Drug Control (SIFDC) , 1500 Zhangheng Road , Shanghai 210203 , People's Republic of China.
Thermo Fisher Scientific , 355 River Oaks Parkway , San Jose , California 95134 , United States.


This perspective discusses the use of liquid chromatography coupled with high-resolution mass spectrometry (LC-HRMS) for multiresidue analysis of pesticides in foods and agricultural commodities. HRMS has the important distinction and advantage of mass-resolving power and, therefore, requires different concepts, experiments, and guidance for screening, identification, and quantitation of pesticides in complex food matrices over triple quadrupole mass spectrometry. HRMS approaches for pesticide screening, including full-scan experiments in conjunction with tandem mass spectrometry (MS/MS) experiments, are described. This approach results in the generation of chromatographic retention times and high-resolution mass spectra with accurate mass measurements that can be used to create compound databases. New data processing tools can create an efficient and optimized screening approach that can speed the analysis and identification of compounds, reduce the need for chemical standards, and harmonize pesticide analytical procedures.


data dependent acquisition (DDA); data independent acquisition (DIA); liquid chromatography−high-resolution mass spectrometry (LC−HRMS); multiresidue pesticide analysis; non-target data acquisition target analysis (nDATA); pesticide screening

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