Estimation of Congou black tea quality by an electronic tongue technology combined with multivariate analysis

2021 ◽  
Vol 163 ◽  
pp. 105899
Author(s):  
Guangxin Ren ◽  
Tiehan Li ◽  
Yuming Wei ◽  
Jingming Ning ◽  
Zhengzhu Zhang
2014 ◽  
Vol 63 (10) ◽  
pp. 2472-2479 ◽  
Author(s):  
Pradip Saha ◽  
Santanu Ghorai ◽  
Bipan Tudu ◽  
Rajib Bandyopadhyay ◽  
Nabarun Bhattacharyya

2010 ◽  
Vol 675 (1) ◽  
pp. 8-15 ◽  
Author(s):  
Mousumi Palit ◽  
Bipan Tudu ◽  
Nabarun Bhattacharyya ◽  
Ankur Dutta ◽  
Pallab Kumar Dutta ◽  
...  

2015 ◽  
Vol 4 (3) ◽  
pp. 56 ◽  
Author(s):  
Alexandr Ya Yashin ◽  
Boris V. Nemzer ◽  
Emilie Combet ◽  
Yakov I. Yashin

<p>Despite the fact that mankind has been drinking tea for more than 5000 years, its chemical composition has been studied only in recent decades. These studies are primarily carried out using chromatographic methods. This review summarizes the latest information regarding the chemical composition of different tea grades by different chromatographic methods, which has not previously been reviewed in the same scope. Over the last 40 years, the qualitative and quantitative analyses of high volatile compounds were determined by GC and GC/MS. The main components responsible for aroma of green and black tea were revealed, and the low volatile compounds basically were determined by HPLC and LC/MS methods. Most studies focusing on the determination of catechins and caffeine in various teas (green, oolong, black and pu-erh) involved HPLC analysis.</p> <p>Knowledge of tea chemical composition helps in assessing its quality on the one hand, and helps to monitor and manage its growing, processing, and storage conditions on the other. In particular, this knowledge has enabled to establish the relationships between the chemical composition of tea and its properties by identifying the tea constituents which determine its aroma and taste. Therefore, assessment of tea quality does not only rely on subjective organoleptic evaluation, but also on objective physical and chemical methods, with extra determination of tea components most beneficial to human health. With this knowledge, the nutritional value of tea may be increased, and tea quality improved by providing via optimization of the growing, processing, and storage conditions.</p>


2014 ◽  
Vol 8 (5) ◽  
pp. 1088-1092 ◽  
Author(s):  
Maria Khaydukova ◽  
Xavier Cetó ◽  
Dmitry Kirsanov ◽  
Manel del Valle ◽  
Andrey Legin

Author(s):  
Małgorzata Muzolf-Panek ◽  
Anna Kaczmarek ◽  
Anna Gliszczyńska-Świgło

AbstractContemporary consumers drink significant amounts of tea because of its health–benefits mainly associated to the presence of polyphenols with high antioxidant activity. Therefore, the information how to obtain tea infusion of the highest quality, i.e. with high antioxidant capacity is needed. In this study, the various models for the prediction of total polyphenols and antioxidant activity of green and black tea infusions were developed and compared. Three mathematical equations: Spiro’s, Peleg’s and logarithmic, and two data mining techniques: multivariate adaptive regression splines (MARS) and artificial neural networks (ANNs) were used to build the predictive models. The results obtained show that Spiro’s model could be used for the prediction of green tea quality expressed as total phenolic content or the antioxidant activity (determination coefficients above 0.99), whereas Peleg’s model is more suitable for black tea quality prediction (determination coefficients above 0.99). Data mining techniques (MARS and ANNs) enable to create models fast and of simple application with very good acceptability (determination coefficients above 0.99).


2001 ◽  
Vol 81 (8) ◽  
pp. 764-772 ◽  
Author(s):  
S?J Temple ◽  
C?M Temple ◽  
A?J?B van Boxtel ◽  
M?N Clifford
Keyword(s):  

2018 ◽  
Vol 14 (1) ◽  
Author(s):  
Robert K. Koech ◽  
Pelly M. Malebe ◽  
Christopher Nyarukowa ◽  
Richard Mose ◽  
Samson M. Kamunya ◽  
...  

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