Near infrared reflectance spectrometry classification of cigarettes using the successive projections algorithm for variable selection

TALANTA

卷:79

Article

Moreira, Edilene Dantas Teles¹  Coelho Pontes, Marcio Jose¹  Harrop Galvao, Roberto Kawakami²  Ugulino Araujo, Mario Cesar¹ 

[1] Univ Fed Paraiba, Dept Quim, Lab Automacao & Instrumentacao Quim Analit Quimio, BR-58051970 Joao Pessoa, Paraiba, Brazil

[2] Inst Tecnol Aeronaut, Div Engn Eletron, Sao Jose Dos Campos, SP, Brazil

关键词: Cigarettes;    Near infrared reflectance spectroscopy;    Classification;    Successive projections algorithm;    Linear discriminant analysis;   

DOI  :  10.1016/j.talanta.2009.05.031

来源: Elsevier

【 摘 要 】

This paper proposes a methodology for cigarette classification employing Near Infrared Reflectance spectrometry and variable selection. For this purpose, the Successive Projections Algorithm (SPA) is employed to choose an appropriate subset of wavenumbers for a Linear Discriminant Analysis (LDA) model. The proposed methodology is applied to a set of 210 cigarettes of four different brands. For comparison, Soft Independent Modelling of Class Analogy (SIMCA) is also employed for full-spectrum classification. The resulting SPA-LDA model successfully classified all test samples with respect to their brands using only two wavenumbers (5058 and 4903 cm(-1)). In contrast, the SIMCA models were not able to achieve 100% of classification accuracy, regardless of the significance level adopted for the F-test. The results obtained in this investigation suggest that the proposed methodology is a promising alternative for assessment of cigarette authenticity. (C) 2009 Elsevier B.V. All rights reserved.

【 授权许可】

Free