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High-quality green tea leaf production by artificial cultivation under growth chamber conditions considering amino acids profile

Paper ID Volume ID Publish Year Pages File Format Full-Text
20500 43177 2014 6 PDF Available
Title
High-quality green tea leaf production by artificial cultivation under growth chamber conditions considering amino acids profile
Abstract

The current study focused on the tea plant (Camellia sinensis) as a target for artificial cultivation because of the variation in its components in response to light conditions. We analyzed its sensory quality by multi-marker profiling using multicomponent data based on metabolomics to optimize the conditions of light and the environment during cultivation. From the analysis of high-quality tea samples ranked in a tea contest, the ranking predictive model was created by the partial least squares (PLS) regression analysis to examine the correlation between the amino-acid content (X variables) and the ranking in the tea contest (Y variables). The predictive model revealed that glutamine, arginine, and theanine were the predominant amino acids present in high-ranking teas. Based on this result, we established a cover-culture condition (i.e., a low-light intensity condition) during the later stage of the culture process and obtained artificially cultured tea samples, which were predicted to be high-quality teas. The aim of the current study was to optimize the light conditions for the cultivation of tea plants by performing data analysis of their sensory qualities through multi-marker profiling in order to facilitate the development of high-quality teas by plant factories.

Keywords
Camellia sinensis; Plant factory; Metabolomics; Quality of green tea; Prediction model
First Page Preview
High-quality green tea leaf production by artificial cultivation under growth chamber conditions considering amino acids profile
Publisher
Database: Elsevier - ScienceDirect
Journal: Journal of Bioscience and Bioengineering - Volume 118, Issue 6, December 2014, Pages 710–715
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering