Quality Assessment of Tobacco Flavor by Classification of Principal Component Analysis-Mahalanobis Distance Combined with FTIR-ATR Fingerprint
WANG Jia-jun1,QIU Qi-yang1,LIU Wei2
1. Products Research Centre, Honghe Cigarette Factory, Mile 652300, China 2. Tobacco Chemistry Laboratory, Yunnan Tobacco Research Institute，Kunming 650021, China
Abstract：In normal condition, 150 Fourier transform infrared-attenuated total reflection spectra of three kinds of tobacco flavor were measured. Mean centering and Karl Norris second derivative filter were employed for treating the spectra data. Whereafter，class models of tobacco flavor were established with classification of principal component analysis-Mahalanobis distance. Class models have been applied to multivariate statistical process control(MSPC)for the quality assessment of tobacco flavor in site. The upper control limit(UCL) was based on this kind of average Mahalanobis distance within +3σ. The results of monitoring are correct.
Key words：FTIR-ATR fingerprint;Classification of principal component analysis-Mahalanobis distance;Multivariate statistical process control;Tobacco flavor
王家俊1,邱启杨1,刘巍2. FTIR-ATR指纹图谱的主成分分析-马氏距离法应用于烟用香精质量控制[J]. 光谱学与光谱分析, 2007, 27(05): 895-898.
WANG Jia-jun1,QIU Qi-yang1,LIU Wei2. Quality Assessment of Tobacco Flavor by Classification of Principal Component Analysis-Mahalanobis Distance Combined with FTIR-ATR Fingerprint. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(05): 895-898.
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