Application of nDATA Workflow for Semi-Quantitative Screening of 1094 Pesticide Residues in Fruits and Vegetables Using UHPLC/ESI Q-Orbitrap Full MS/vDIA

nDATA combines both non-target data acquisition and target analysis. The non-target data acquisition generates data for retrospective analysis of a large number (over one thousand) of pesticides. The target analysis using a compound database (CDB) and a one-point standard calibration affords confidence in semi-quantitative screening results.

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Publication Details

Journal
Journal of AOAC International
Published
2025-02-18
DOI
https://doi.org/10.1093/jaoacint/qsaf009
Primary Topic
Pesticide Residue Analysis and Safety
Type
article
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article

Application of nDATA Workflow for Semi-Quantitative Screening of 1094 Pesticide Residues in Fruits and Vegetables Using UHPLC/ESI Q-Orbitrap Full MS/vDIA

Jon W. Wong, Willis Chow, Jian Wang
Journal of AOAC International
Pesticide Residue Analysis and Safety
article

Application of nDATA Workflow for Semi-Quantitative Screening of 1094 Pesticide Residues in Fruits and Vegetables Using UHPLC/ESI Q-Orbitrap Full MS/vDIA

Jon W. Wong, Willis Chow, Jian Wang
article en

Abstract

nDATA combines both non-target data acquisition and target analysis. The non-target data acquisition generates data for retrospective analysis of a large number (over one thousand) of pesticides. The target analysis using a compound database (CDB) and a one-point standard calibration affords confidence in semi-quantitative screening results.

Journal of AOAC International
Center for Food Safety and Applied Nutrition (US), Canadian Food Inspection Agency (CA), United States Food and Drug Administration (US), Université Bourgogne Franche-Comté (FR), Food and Drug Administration (TH)
Openalex Percentile: Top 97%
Pesticide Residue Analysis and Safety
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Application of nDATA Workflow for Semi-Quantitative Screening of 1094 Pesticide Residues in Fruits and Vegetables Using UHPLC/ESI Q-Orbitrap Full MS/vDIA — Jon W. Wong, Willis Chow, et al. · Journal of AOAC International (2025) | TGRS Research Map | TGRS