Crispino Carla C, Fernandes Kelly G, Kamogawa Marcos Y, Nóbrega Joaquim A, Nogueira Ana Rita A, Ferreira Márcia M C
Grupo de Análise Instrumental Aplicada, Departamento de Química, Universidade Federal de São Carlos, Brazil.
Anal Sci. 2007 Apr;23(4):435-8. doi: 10.2116/analsci.23.435.
In this paper we describe our study on the characterization of cigarette samples according to their mineral content. Acid digestion assisted by microwaves was employed, and inductively coupled plasma optical emission spectrometry was the analytical technique used for the determination of Al, Ba, Ca, Cu, Fe, K, Mg, Mn, Na, P and Sr in conventional, light, and flavorized cigarettes. Multivariate techniques, such as hierarchical clusters analysis (HCA) and principal-component analysis (PCA), were applied to discriminate among different types of cigarettes. Cluster analysis and principal-component analysis showed differences in cigarettes according to the type and mineral composition. The cigarette samples were divided within the 3 groups according to their mineral composition. Ca, Sr, Cu, K and Na were the most important elements for cigarette classification, and only these 5 variables were sufficient for the classification and discrimination of the evaluated types of cigarettes.
在本文中，我们描述了根据香烟样品的矿物质含量对其进行表征的研究。采用微波辅助酸消解，并使用电感耦合等离子体发射光谱法测定常规香烟、淡味香烟和调味香烟中的铝、钡、钙、铜、铁、钾、镁、锰、钠、磷和锶。应用了多元技术，如层次聚类分析（HCA）和主成分分析（PCA），以区分不同类型的香烟。聚类分析和主成分分析表明，不同类型和矿物质组成的香烟存在差异。香烟样品根据其矿物质组成被分为3组。钙、锶、铜、钾和钠是香烟分类的最重要元素，仅这5个变量就足以对所评估的香烟类型进行分类和区分。
