@article {GENG2024126680,
	title = {Characterization of cigarette smokeomics by in situ solid-phase microextraction and confined-space direct analysis in real time mass spectrometry},
	journal = {Talanta},
	year = {2024},
	month = {08/2024},
	pages = {126680},
	abstract = {<p>Characterization of chemical composition in cigarette smoke is essential for establishing smoke-related exposure estimates. Currently used methods require complex sample preparation with limited capability for obtaining accurate chemical information. We have developed an in situ solid-phase microextraction (SPME) method for online processing of smoke aerosols and directly coupling the SPME probes with confined-space direct analysis in real time (cDART) ion source for high-resolution mass spectrometry (MS) analysis. In a confined space, the substances from SPME probes can be efficiently desorbed and ionized using the DART ion source, and the diffusion and evaporation of volatile species into the open air can be largely avoided. Using SPME-cDART-MS, mainstream smoke (MSS) and side-stream smoke (SSS) can be investigated and the whole analytical protocol can be accomplished in a few min. More than five hundred substances and several classes of compounds were detected and identified. The relative contents of 13 tobacco alkaloids were compared between MSS and SSS. Multivariate data analysis unveiled differences between different types of cigarette smoke and also discovered the characteristic ions. The method is reliable with good reproducibility and repeatability, and has the potential to be quantitative. This study provides a simple and high-efficiency method for smokeomics profiling of complex aerosol samples with in situ online extraction of volatile samples, and direct integration of extracted probes with a modified ambient ionization technique.</p>},
	keywords = {cigarette smoke, confined interface, direct analysis in real time mass spectrometry, SOLID-PHASE MICROEXTRACTION},
	issn = {0039-9140},
	doi = {https://doi.org/10.1016/j.talanta.2024.126680},
	url = {https://www.sciencedirect.com/science/article/pii/S0039914024010592},
	author = {Xin Geng and Yanqiu Wang and Hongli Li and David D. Y. Chen}
}
