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Updated: Jul 5, 2025

Natural Product Discovery with LC-MS/MS Diagnostic Fragmentation Filtering: Application for Microcystin Analysis
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Natural Product Discovery with LC-MS/MS Diagnostic Fragmentation Filtering: Application for Microcystin Analysis

Published on: May 31, 2019

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提高MS/MS全离子碎片化的效率,用于使用多变量曲线分辨率和数据融合进行地表水中微量污染物的非目标分析

Maryam Vosough1,2, Amir Salemi3, Sarah Rockel3

  • 1Instrumental Analytical Chemistry and Centre for Water and Environmental Research (ZWU), University of Duisburg-Essen, Universitätsstr. 5, Essen, 45141, Germany. maryam.vosough@uni-due.de.

Analytical and bioanalytical chemistry
|January 11, 2024
PubMed
概括

本研究引入了一种使用多变量曲线分辨率-交替最小平方 (MCR-ALS) 来分析表面水中的复杂质谱数据的新方法,改进了污染物识别和环境影响评估.

关键词:
所有离子碎片化的碎片化.污染物 污染物 污染物数据融合数据融合液体染色学高分辨率质谱学多变量曲线分辨率多变量曲线分辨率非有针对性的分析.表面的水是表面的水.

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