Prediction of Japanese green tea ranking by fourier transform near-infrared reflectance spectroscopy.
A rapid and easy determination method of green tea's quality was developed by using Fourier transform near-infrared (FT-NIR) reflectance spectroscopy and metabolomics techniques. The method is applied to an online measurement and an online prediction of green tea's quality. FT-NIR was employed to measure green tea metabolites' alteration affected by green tea varieties and manufacturing processes. A set of ranked green tea samples from a Japanese commercial tea contest was analyzed to create a reliable quality-prediction model. As multivariate analyses, principal component analysis (PCA) and partial least-squares projections to latent structures (PLS) were used. It was indicated that the wavenumber region from 5500 to 5200 cm(-1) had high correlation with the quality of the tea. In this study, a reliable quality-prediction model of green tea has been achieved.
Ikeda
Tatsuhiko
T
Department of Biotechnology, Osaka University, Japan.
Kanaya
Shigehiko
S
Yonetani
Tsutomu
T
Kobayashi
Akio
A
Fukusaki
Eiichiro
E
D006801:Humans; D015999:Multivariate Analysis; D011237:Predictive Value of Tests; D025341:Principal Component Analysis; D011786:Quality Control; D012680:Sensitivity and Specificity; D017550:Spectroscopy, Fourier Transform Infrared / Q000379:methods*; D013662:Tea / Q000737:chemistry* / Q000592:standards*
D013662:Tea