Classification of Tobacco Flavors by PLS-DA Combined with Multi-Bounce Attenuated Total Reflectance IR Fingerprint Spectra

In order to identify the tobacco flavors of different style characteristics,the multi-bounce attenuated total reflectance infrared spectra of three tobacco flavors were collected,the class models for tobacco flavors of different style characteristics were established by combining with partial least square-discriminant analysis,and the models were verified with 30 validation samples.The results showed that all of the validation samples were correctly classified at P>5% level,and the class models featured good discrimination effect.Moreover,the quality consistency of tobacco flavors of different batches monitored with Hotelling T² statistics obtained satisfactory results as well.