European Commission, Joint Research Centre (JRC), Retieseweg 111, 2440, Geel, Belgium.
Anal Bioanal Chem. 2021 Mar;413(8):2103-2111. doi: 10.1007/s00216-021-03175-0. Epub 2021 Feb 6.
This paper describes an analytical method that supports the implementation of articles 9 and 10 of the WHO Framework Convention on Tobacco Control (FCTC) regarding the provisions on the reduction of the palatability and attractiveness of tobacco products regarding flavour ingredients. This study aimed to develop a screening method to identify cigarettes that may have a characterising flavour to support the implementation of the ban of characterising flavours of tobacco products, as laid down in the US and EU law. An analytical method combining direct thermal desorption and GC-QTOF MS was developed for acquiring the profile of volatile and semi-volatile substances in tobacco. A database of flavour additives was created comprising 133 compounds. A group of cigarettes without a declared characterising flavour was used to establish a reference profile of flavouring chemicals commonly present in tobacco products. A reference profile was modelled both by the means of principal component analysis (PCA) and based on the calculation of threshold values specified as 95th percentile of measured compounds' relative responses. Cigarettes and roll-your-own tobacco labelled as flavoured were analysed to evaluate the discrimination power of the method. A constructed model of the reference cigarettes allowed the differentiation of the flavoured tobacco products from the reference group. The method allows drawing conclusions on the chemical profiles of flavour constituents of tobacco products at even sensorial subliminal concentration levels and is suitable for both the initial screening of products on the market for characterising flavours and for confirmatory purposes after sensory analysis.
本文描述了一种分析方法,支持实施世界卫生组织烟草控制框架公约(FCTC)第 9 条和第 10 条关于减少烟草产品口感和吸引力的规定,涉及风味成分。本研究旨在开发一种筛选方法,以识别可能具有特征风味的香烟,以支持实施美国和欧盟法律规定的禁止烟草产品特征风味。开发了一种结合直接热解吸和 GC-QTOF MS 的分析方法,用于获取烟草中挥发性和半挥发性物质的图谱。创建了一个包含 133 种化合物的风味添加剂数据库。使用一组未声明特征风味的香烟建立了常见于烟草产品中的调味化学品的参考图谱。通过主成分分析(PCA)和基于计算规定的阈值(即测量化合物相对响应的第 95 百分位数)两种方法建立了参考图谱。对标记为调味的香烟和自卷烟草进行分析,以评估该方法的区分能力。参考香烟的构建模型允许将调味烟草产品与参考组区分开来。该方法可以在感官上难以察觉的浓度水平下得出烟草产品风味成分的化学特征结论,适用于市场上对特征风味的产品进行初步筛选以及感官分析后的确认目的。