Evaluation of matcha tea quality index using portable NIR spectroscopy coupled with chemometric algorithms.

Jingjing WangMuhammad ZareefPeihuan HeHao SunQuansheng ChenHuanhuan LiQin OuyangZhiming GuoZhengzhu ZhangDelian Xu

Published in: Journal of the science of food and agriculture (2019)

The proposed method can be used as a rapid, accurate and non-destructive platform to classify various matcha tea samples based on the ratio of tea polyphenols to amino acids. © 2019 Society of Chemical Industry.

Keyphrases

high resolution
amino acid
machine learning
photodynamic therapy
deep learning
high throughput
mass spectrometry