journal article·2026-02

A Semi‐Continuous Versatile Aerosol Concentration Enrichment System Coupled to Online Extraction and Lc–Ms for Molecular‐Level Analysis of Atmospheric Aerosol Organic Matter

Haiping Xiong, Quanliang Yao, Xiaona Shang, Jianmin Chen

Small Methods· Volume 10· Issue 3
Publisher page

Abstract

Abstract Organic matter (OM) constitutes a major fraction of atmospheric aerosols. However, achieving molecular‐level and high‐temporal‐resolution analysis of OM remains a significant analytical challenge. Here, an observation system, is developed the versatile aerosol concentration enrichment system coupled to online extraction and liquid chromatography–mass spectrometry (VACE–OE–LC–MS), for online observation of OM in PM 2.5 . This system enables molecular‐level detection and quantification of particle‐bound organic compounds, with chromatographic separation allowing the identification of structural isomers. It integrates a modified VACE module for particle enrichment, an OE module for collecting particles, extracting analytes, and concentrating the extracts, and an LC–MS module for compound analysis. The VACE module delivers a ≈10‐fold enrichment of particle concentration. The OE module innovatively employs N,N ‐dimethylacetamide (DMA) with a swirling aerosol collector, achieving collection efficiencies of 64.0–99.1% and maintaining stable operation for at least 8 h. In field observations, the system successfully quantifies 11 nitroaromatic compounds (NACs) at a 3‐h resolution, revealing diurnal concentration patterns that conventional 12–24‐h sampling cannot capture. Overall, this system offers enhanced temporal resolution while maintaining molecular specificity relative to traditional offline methods, providing a powerful analytical tool for investigating the formation, evolution, and transformation of OM in atmospheric aerosols.
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Research context

OpenAlex topics: Atmospheric chemistry and aerosols · Indoor Air Quality and Microbial Exposure · Toxic Organic Pollutants Impact

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP^{3}) Department of Environmental Science & Engineering Fudan Tyndall Centre Fudan University Shanghai 200438 China

School of Chemical and Environmental Engineering Shanghai Institute of Technology Shanghai 201418 China

IRDR International Center of Excellence on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health Institute of Atmospheric Sciences Fudan University Shanghai 200438 China

Institute of Eco‐Chongming (IEC) Shanghai 200062 China

Funding

National Natural Science Foundation of China · Science and Technology Commission of Shanghai Municipality

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