Multivariate Classification of Cigarettes According to Their Elemental Content Determined by Inductively Coupled Plasma Optical Emission Spectrometry

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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.

収録刊行物

  • Analytical sciences : the international journal of the Japan Society for Analytical Chemistry  

    Analytical sciences : the international journal of the Japan Society for Analytical Chemistry 23(4), 435-438, 2007-04-10 

    The Japan Society for Analytical Chemistry

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各種コード

  • NII論文ID(NAID)
    10018914293
  • NII書誌ID(NCID)
    AA10500785
  • 本文言語コード
    ENG
  • 資料種別
    ART
  • ISSN
    09106340
  • NDL 記事登録ID
    8698534
  • NDL 雑誌分類
    ZP4(科学技術--化学・化学工業--分析化学)
  • NDL 請求記号
    Z54-F482
  • データ提供元
    CJP書誌  NDL  J-STAGE 
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