Prediction of Japanese green tea ranking by fourier transform near-infrared reflectance spectroscopy |
| |
Authors: | Ikeda Tatsuhiko Kanaya Shigehiko Yonetani Tsutomu Kobayashi Akio Fukusaki Eiichiro |
| |
Affiliation: | Department of Biotechnology, Osaka University, Japan. |
| |
Abstract: | 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. |
| |
Keywords: | |
本文献已被 PubMed 等数据库收录! |
|