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用于测定有机气溶胶功能成分的核磁共振光谱法:综述

Nuclear magnetic resonance spectroscopy for determining the functional content of organic aerosols: a review.

作者信息

Chalbot Marie-Cecile G, Kavouras Ilias G

机构信息

Department of Environmental and Occupational Health, University of Arkansas for Medical Sciences, 4301 W. Markham St., Little Rock, AR 72205-7199, USA.

Department of Environmental and Occupational Health, University of Arkansas for Medical Sciences, 4301 W. Markham St., Little Rock, AR 72205-7199, USA.

出版信息

Environ Pollut. 2014 Aug;191:232-49. doi: 10.1016/j.envpol.2014.04.034. Epub 2014 May 23.

Abstract

The knowledge deficit of organic aerosol (OA) composition has been identified as the most important factor limiting our understanding of the atmospheric fate and implications of aerosol. The efforts to chemically characterize OA include the increasing utilization of nuclear magnetic resonance spectroscopy (NMR). Since 1998, the functional composition of different types, sizes and fractions of OA has been studied with one-dimensional, two-dimensional and solid state proton and carbon-13 NMR. This led to the use of functional group ratios to reconcile the most important sources of OA, including secondary organic aerosol and initial source apportionment using positive matrix factorization. Future research efforts may be directed towards the optimization of experimental parameters, detailed NMR experiments and analysis by pattern recognition methods to identify the chemical components, determination of the NMR fingerprints of OA sources and solid state NMR to study the content of OA as a whole.

摘要

有机气溶胶(OA)成分的知识空白已被确定为限制我们理解气溶胶在大气中的归宿及其影响的最重要因素。对OA进行化学表征的努力包括越来越多地利用核磁共振光谱(NMR)。自1998年以来,已使用一维、二维以及固态质子和碳-13 NMR对不同类型、大小和组分的OA的功能组成进行了研究。这导致使用官能团比率来协调OA的最重要来源,包括二次有机气溶胶以及使用正定矩阵因子分解进行初始源解析。未来的研究工作可能会朝着优化实验参数、进行详细的NMR实验以及通过模式识别方法进行分析以识别化学成分、确定OA源的NMR指纹以及利用固态NMR研究整个OA的含量等方向开展。

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