Puff-by-puff Mainstream Smoke Analysis by Multiplex Gas Chromatography-Mass Spectrometry

C. Thomas, K. Koller
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引用次数: 14

Abstract

Abstract A puff-by-puff mainstream smoke procedure has been developed that provides the sensitivity and selectivity of a gas chromatography-mass spectrometry (GC-MS) system. The smoke analysis is based on automated sample collection and injection into the GC system. This development builds on, and complements, prior puff-by-puff procedures developed by Philip Morris USA, that utilized infrared (IR) analysis of gas-phase mainstream smoke. IR analysis of the gas-phase smoke for individual smoke constituents relies on the unique spectroscopic absorption patterns of each analyte. The new multiplex procedure relies on both chromatographic separation as well as spectroscopic separation. A significant feature of this method is that multiple injections are made prior to the complete elution of the first injected sample. The benefits of this methodology are that both sensitivity and the number of detected compounds are enhanced. While the multiplex method increases the complexity of the chromatographic data, the mass spectral analysis provides a means for data reduction to meaningful results. Many smoke constituents that are at concentrations below the Fourier transform infrared (FTIR) detection limit are observable with the multiplex analysis while maintaining the feature of puff-by-puff characterization of fresh smoke. The gas-phase mainstream smoke filtration performance of standard adsorption materials are discussed as a demonstration of the versatility and information content of this analytical procedure.
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用多重气相色谱-质谱法分析一缕缕主流烟雾
摘要:开发了一种逐烟的主流烟雾程序,该程序提供了气相色谱-质谱(GC-MS)系统的灵敏度和选择性。烟雾分析是基于自动采样和注入气相色谱系统。这一发展是建立在之前由菲利普莫里斯美国公司开发的逐烟程序的基础上并加以补充的,该程序利用红外(IR)分析气相主流烟雾。对单个烟雾成分的气相烟雾的红外分析依赖于每种分析物的独特光谱吸收模式。新的多重分离方法既依赖于色谱分离,也依赖于光谱分离。该方法的一个重要特点是在第一次进样完全洗脱之前进行多次进样。这种方法的优点是灵敏度和检测到的化合物的数量都得到了提高。多路复用法增加了色谱数据的复杂性,质谱分析提供了一种将数据简化到有意义的结果的方法。许多浓度低于傅里叶变换红外(FTIR)检测限的烟雾成分可通过多重分析观察到,同时保持了新鲜烟雾的逐烟特征。讨论了标准吸附材料的气相主流烟雾过滤性能,证明了该分析方法的通用性和信息量。
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