Suppr超能文献

Tobacco smoke particulate matter chemistry by NMR.

作者信息

Barsanti Kelley C, Luo Wentai, Isabelle Lorne M, Pankow James F, Peyton David H

机构信息

Department of Environmental & Biomolecular Systems, Oregon Health & Sciences University, Beaverton, OR 97006-8921, USA.

出版信息

Magn Reson Chem. 2007 Feb;45(2):167-70. doi: 10.1002/mrc.1939.

Abstract

The submicron liquid droplets constituting the particulate matter of mainstream tobacco smoke (PMMTS) are viscous and of a composition that is complex and poorly understood. PMMTS is often approximately 80% w/w 'tar' where 'tar'=total PMMTS- (nicotine+water). Many of the chemical agents in MTS responsible for smoking-related cancers are found at least partially in the PMMTS portion of MTS. The properties of PMMTS vary with brand and with puffing patterns. The chemical forms and total levels of nicotine, the identities/levels of other compositionally dominant compounds, and the identities/levels of carcinogens are of interest. Most studies of the composition of PMMTS have involved extraction then chromatography. Such methods allow the determination of low-level constituents, but alter the samples such that direct information regarding chemical conditions within the PMMTS cannot be obtained. Here, we utilize nuclear magnetic resonance spectroscopy (NMR) to examine native PMMTS in conventional cigarettes, including measurements of the brand-dependent fraction of PMMTS nicotine that is in the free-base form (increasing this fraction in inhaled tobacco smoke affects the rates of the processes governing nicotine deposition in the respiratory tract, and so has implications for smoking behavior and addiction). We also demonstrate the use of NMR for characterizing the composition of PMMTS (including the levels of selected cigarette additives) when the cosolvent DMSO-d6 is added to improve spectral resolution. The native and solvent-assisted results open the door to a range of future studies.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验