Journal
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
Volume 55, Issue 24, Pages 9908-9912Publisher
AMER CHEMICAL SOC
DOI: 10.1021/jf0717642
Keywords
metabolomics; metabolic fingerprinting; FT-NIR; quality evaluation; PILS
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available