Jeffery Jana, Carradus Maria, Songin Karolina, Pettit Michael, Pettit Karl, Wright Christopher
British American Tobacco, Research and Development, Southampton, UK.
Marchwood Scientific Services, 371 Millbrook Rd W, Southampton, UK.
Chem Cent J. 2018 Mar 13;12(1):27. doi: 10.1186/s13065-018-0397-2.
A gas chromatography-mass spectrometry (GC-MS) method was validated for the determination of 16 polycyclic aromatic hydrocarbons (PAHs) from the FDA list of 93 harmful or potentially harmful constituents of mainstream cigarette smoke (MCS). Target analytes were extracted from total particulate matter using accelerated solvent extraction with a toluene/ethanol solvent mixture. Matrix artefacts were removed by two-step solid-phase extraction process. Three different GC-MS systems [GC-MS (single quadrupole), GC-MS/MS (triple quadrupole) and GC-HRMS (high resolution, magnetic sector)] using the same separation conditions were compared for the analysis of MCS of 3R4F Kentucky reference cigarettes generated under ISO and intense smoking regimes. The high mass resolution (m/∆m ≥ 10,000) and associated selectivity of detection by GC-HRMS provided the highest quality data for the target PAHs in MCS. Owing to the HR data acquisition mode enabling measurement of accurate mass, limits of quantification for PAHs were 5 to 15-fold lower for GC-HRMS than for GC-MS/MS and GC-MS. The presented study illustrates that the optimised sample preparation strategy followed by GC-HRMS analysis provides a fit-for-purpose and robust analytical approach allowing measurement of PAHs at (ultra)low concentrations in MCS. Furthermore, the study illustrates the importance and benefits of robust sample preparation and clean-up to compensate for limited selectivity when low-resolution MS is used.
建立了一种气相色谱 - 质谱联用(GC-MS)方法,用于测定美国食品药品监督管理局(FDA)列出的主流香烟烟雾(MCS)93种有害或潜在有害成分中的16种多环芳烃(PAHs)。目标分析物采用甲苯/乙醇混合溶剂通过加速溶剂萃取从总颗粒物中提取。通过两步固相萃取过程去除基质假象。比较了使用相同分离条件的三种不同GC-MS系统[GC-MS(单四极杆)、GC-MS/MS(三重四极杆)和GC-HRMS(高分辨率,磁扇形)],以分析在ISO和高强度吸烟模式下产生的3R4F肯塔基参考香烟的MCS。GC-HRMS的高质量分辨率(m/∆m ≥ 10,000)和相关的检测选择性为MCS中的目标PAHs提供了最高质量的数据。由于HR数据采集模式能够进行精确质量测量,GC-HRMS对PAHs的定量限比对GC-MS/MS和GC-MS低5至15倍。本研究表明,优化的样品制备策略结合GC-HRMS分析提供了一种适用且稳健的分析方法,能够测量MCS中(超)低浓度的PAHs。此外,该研究说明了稳健的样品制备和净化对于补偿使用低分辨率质谱时有限的选择性的重要性和益处。