TY - JOUR
T1 - Fermentation quality evaluation of tea by estimating total catechins and theanine using near-infrared spectroscopy
AU - Chen, Suming
AU - Wang, Ching Yin
AU - Tsai, Chao Yin
AU - Yang, I. Chang
AU - Luo, Sheng Jie
AU - Chuang, Yung Kun
N1 - Funding Information:
The authors acknowledge financial support from the Ministry of Science and Technology, Taiwan (Grant NSC 96-2313-B-002-072-MY3 ). Authors also thank Director Yao-Jen Tsai, Mr. Cheng-Hung Cheng, and Mr. Hsien-Tsung Tsai at the Wunshan Branch of Tea Research and Extension Station, who helped during the tea fermentation experiments. We are thankful to the Joint Center for Instruments and Researches, College of Bioresources and Agriculture, National Taiwan University for help with the chemical analysis. We also thank Mr. Chun-Chi Chen, Ms. Chu-Chun Tai, and Pei-Ju Pan and others in the authors' NTU laboratory for their help with the experiments.
Funding Information:
The authors acknowledge financial support from the Ministry of Science and Technology, Taiwan (Grant NSC 96-2313-B-002-072-MY3). Authors also thank Director Yao-Jen Tsai, Mr. Cheng-Hung Cheng, and Mr. Hsien-Tsung Tsai at the Wunshan Branch of Tea Research and Extension Station, who helped during the tea fermentation experiments. We are thankful to the Joint Center for Instruments and Researches, College of Bioresources and Agriculture, National Taiwan University for help with the chemical analysis. We also thank Mr. Chun-Chi Chen, Ms. Chu-Chun Tai, and Pei-Ju Pan and others in the authors' NTU laboratory for their help with the experiments.
Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2021/7
Y1 - 2021/7
N2 - Concentrations of total catechins and theanine are important indices for monitoring the degree of fermentation, a key factor in determining the types, qualities, and taste characteristics of tea, during manufacturing process. Until now, there has not been any near-infrared (NIR) study applying theanine as an index for monitoring the degree of fermentation of tea. It is necessary to understand and monitor the degree of fermentation according to the concentrations of total catechins and theanine in tea by using NIR spectroscopy, especially for manufacturers of tea products. NIR spectroscopy integrated with modified partial least-squares regression (MPLSR) method was used for spectral analysis of total catechins and theanine in 161 tea samples in the full visible NIR wavelength range of 400−2498 nm (25000−4003 cm−1). Both the optimal calibration models of total catechins and theanine built by MPLSR showed satisfactory predictability, with coefficient of determination of calibration (Rc2) and residual predictive deviation (RPD) up to 0.94 and 3.38, respectively. High total accuracy rates of 100 % were also achieved for the discrimination of green tea, partially fermented tea, and black tea in the validation sets by the optimal MPLSR calibration model of theanine. The results indicated that NIR spectroscopy has the potential to be adopted as an effective method of rapid and accurate inspection of the degree of fermentation of tea. This technique could contribute substantially to quality assurance during fermentation process of tea.
AB - Concentrations of total catechins and theanine are important indices for monitoring the degree of fermentation, a key factor in determining the types, qualities, and taste characteristics of tea, during manufacturing process. Until now, there has not been any near-infrared (NIR) study applying theanine as an index for monitoring the degree of fermentation of tea. It is necessary to understand and monitor the degree of fermentation according to the concentrations of total catechins and theanine in tea by using NIR spectroscopy, especially for manufacturers of tea products. NIR spectroscopy integrated with modified partial least-squares regression (MPLSR) method was used for spectral analysis of total catechins and theanine in 161 tea samples in the full visible NIR wavelength range of 400−2498 nm (25000−4003 cm−1). Both the optimal calibration models of total catechins and theanine built by MPLSR showed satisfactory predictability, with coefficient of determination of calibration (Rc2) and residual predictive deviation (RPD) up to 0.94 and 3.38, respectively. High total accuracy rates of 100 % were also achieved for the discrimination of green tea, partially fermented tea, and black tea in the validation sets by the optimal MPLSR calibration model of theanine. The results indicated that NIR spectroscopy has the potential to be adopted as an effective method of rapid and accurate inspection of the degree of fermentation of tea. This technique could contribute substantially to quality assurance during fermentation process of tea.
KW - Chemical compositions
KW - Manufacturing process
KW - Modified partial least-squares regression
KW - Nondestructive
KW - Quantitative analysis
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U2 - 10.1016/j.vibspec.2021.103278
DO - 10.1016/j.vibspec.2021.103278
M3 - Article
AN - SCOPUS:85109139886
SN - 0924-2031
VL - 115
JO - Vibrational Spectroscopy
JF - Vibrational Spectroscopy
M1 - 103278
ER -