Comprehensive Two‐Dimensional Gas Chromatography–Mass Spectrometry for the Analysis of Atmospheric Particulate Matter
GC × GC-MS offers superior separation and identification of complex pollutants, making it invaluable for environmental analysis and applications. Emerging technologies, such as machine learning, will enhance its analytical capabilities and broaden its future applications.
Authors
- Jingying Ma
- Dietrich A. Volmer (ORCID: https://orcid.org/0000-0003-2820-1480)
- Yulin Qi (ORCID: https://orcid.org/0000-0003-2504-0685)
- Jinfeng Ge (ORCID: https://orcid.org/0009-0000-2499-8803)
- Yufu Han
- Chao Ma (ORCID: https://orcid.org/0000-0002-4866-8945)
- Ling Wen
Institutions
- Tianjin University (CN)
- Humboldt-Universität zu Berlin (DE)
Publication Details
- Journal
- Rapid Communications in Mass Spectrometry
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1002/rcm.10034
- Citations
- 1
- Primary Topic
- Analytical Chemistry and Chromatography
- Type
- article
- Field-Weighted Citation Impact
- 0.76
Funders
- National Natural Science Foundation of China