Sampson Maureen M, Chambers David M, Pazo Daniel Y, Moliere Fallon, Blount Benjamin C, Watson Clifford H
Centers for Disease Control and Prevention , 4770 Buford Highway, Atlanta, Georgia 30341, United States.
Anal Chem. 2014 Jul 15;86(14):7088-95. doi: 10.1021/ac5015518. Epub 2014 Jul 3.
Quantifying volatile organic compounds (VOCs) in cigarette smoke is necessary to establish smoke-related exposure estimates and evaluate emerging products and potential reduced-exposure products. In response to this need, we developed an automated, multi-VOC quantification method for machine-generated, mainstream cigarette smoke using solid-phase microextraction gas chromatography-mass spectrometry (SPME-GC-MS). This method was developed to simultaneously quantify a broad range of smoke VOCs (i.e., carbonyls and volatiles, which historically have been measured by separate assays) for large exposure assessment studies. Our approach collects and maintains vapor-phase smoke in a gas sampling bag, where it is homogenized with isotopically labeled analogue internal standards and sampled using gas-phase SPME. High throughput is achieved by SPME automation using a CTC Analytics platform and custom bag tray. This method has successfully quantified 22 structurally diverse VOCs (e.g., benzene and associated monoaromatics, aldehydes and ketones, furans, acrylonitrile, 1,3-butadiene, vinyl chloride, and nitromethane) in the microgram range in mainstream smoke from 1R5F and 3R4F research cigarettes smoked under ISO (Cambridge Filter or FTC) and Intense (Health Canada or Canadian Intense) conditions. Our results are comparable to previous studies with few exceptions. Method accuracy was evaluated with third-party reference samples (≤15% error). Short-term diffusion losses from the gas sampling bag were minimal, with a 10% decrease in absolute response after 24 h. For most analytes, research cigarette inter- and intrarun precisions were ≤20% relative standard deviation (RSD). This method provides an accurate and robust means to quantify VOCs in cigarette smoke spanning a range of yields that is sufficient to characterize smoke exposure estimates.
量化香烟烟雾中的挥发性有机化合物(VOCs)对于确定与烟雾相关的暴露估计值以及评估新兴产品和潜在的低暴露产品至关重要。为满足这一需求,我们开发了一种使用固相微萃取气相色谱 - 质谱联用仪(SPME - GC - MS)对机器产生的主流香烟烟雾进行多种VOC定量的自动化方法。该方法旨在为大规模暴露评估研究同时定量多种烟雾VOC(即羰基化合物和挥发性化合物,以往这些是通过单独的分析方法进行测量的)。我们的方法是将气相烟雾收集并保存在气体采样袋中,在袋中与同位素标记的类似物内标进行均质化处理,然后使用气相SPME进行采样。通过使用CTC Analytics平台和定制袋架实现SPME自动化,从而实现高通量。该方法已成功定量了在ISO(剑桥滤片或FTC)和高强度(加拿大卫生部或加拿大高强度)条件下吸食的1R5F和3R4F研究香烟主流烟雾中微克范围内的22种结构各异的VOC(例如苯及相关单环芳烃、醛类和酮类、呋喃、丙烯腈、1,3 - 丁二烯、氯乙烯和硝基甲烷)。我们的结果与以往研究结果基本可比,仅有少数例外。使用第三方参考样品评估了方法的准确性(误差≤15%)。气体采样袋的短期扩散损失极小,24小时后绝对响应降低了10%。对于大多数分析物,研究香烟在不同批次和同批次内的精密度相对标准偏差(RSD)≤20%。该方法提供了一种准确且可靠的手段,用于量化不同产量范围内香烟烟雾中的VOC,足以表征烟雾暴露估计值。