Prioritizing Chemical Features in Non-targeted Analysis through Spatial Trend Analysis: Application to the Identification of Organic Chemicals Subject to Mountain Cold-Trapping

• Published in: Environmental science & technology Vol. 59; no. 6; pp. 3121 - 3130
• Main Authors: Zhang, Xianming, Zhan, Faqiang, Hao, Chunyan, Lei, Ying-Duan, Wania, Frank
• Format: Journal Article
• Language: English
• Published: United States American Chemical Society 18.02.2025
• Subjects: air; Air sampling; Altitude; Canada; chlorinated hydrocarbons; Chromatography; computer simulation; Contaminants; Elevation; Environmental Monitoring - methods; environmental science; Gas chromatography; Gas Chromatography-Mass Spectrometry; isotopes; Mass spectrometry; Mass spectroscopy; motivation; Mountain ecosystems; Mountains; Occurrence, Fate, and Transport of Contaminants in Indoor Air and Atmosphere; Organic carbon; Organic chemicals; Organic Chemicals - analysis; Organic chemistry; Organic compounds; Organochlorine pesticides; Pattern Analysis, Machine; prioritization; soil; Soil - chemistry; Spatial analysis; Trapping; Trend analysis; Trends; tricamba; Canada; methoxybenzenes; mountain cold-trapping; spatial trends; non-targeted analysis; pesticide

One of the challenges arising during non-targeted analysis (NTA) is that the number of detected chemical features is generally too large for detailed processing and interpretation. Here, we illustrate how the analysis of spatial trends in peak intensities can be an effective tool to prioritize chemi...