Classification of black tea liquor using cyclic voltammetry

Bhattacharyya, Rajnita; Tudu, Bipan; Das, Samir Chandra; Bhattacharyya, Nabarun; Bandyopadhyay, Rajib; Pramanik, Panchanan

doi:10.1016/j.jfoodeng.2011.09.026

Cited by 42 publications

(15 citation statements)

References 17 publications

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“…; Bhattacharyya et al . ). The first four PCs above could explain 86.78% of the total variance of FSGT quality on taste and infusion color, but could not visualize the separation trend through PC scores.…”

Section: Resultsmentioning

confidence: 97%

“…PCA is a data reconstruction and dimension reduction method, which projects the maximum variance and minimum correlation in the data set and indicates the data trend in a visualizing dimension space by principal component (PC) scores (Chen et al 2008a;Bhattacharyya et al 2012). The first four PCs above could explain 86.78% of the total variance of FSGT quality on taste and infusion color, but could not visualize the separation trend through PC scores.…”

Section: Pca Based On Indicators Of Tastementioning

confidence: 99%

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Analysis on Quality Indicators of Taste and Infusion Color and Discrimination of Famous and Superior Green Tea with Different Appearances in Fujian Province, PR China

Guo

Lai

2015

Journal of Food Processing and Preservation

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Compared to traditional sensory quality evaluation, chemical components and color values in CIE-Lab space are looked as indicators to assess tea quality objectively. This study spectrophotometrically analyzed quality indicators of famous and superior green tea (FSGT) with three appearance types in the Fujian Province, PR China and applied chemometrics methods to discriminate them. By factor analysis, all indicators were classified into four factors, evaluating FSGT quality in (1) lightness, yellowness and saturation of infusion color and astringency and bitterness of taste; (2) umami and mellowness; (3) greenness; and (4) body. By the principal component (PC) analysis, three appearance types were separated from each other with the cumulative variance contribution rate of 88.35% for the first three PCs based on indicators of taste and 90.30% for the first two PCs based on indicators of infusion color, respectively. By Bayes discrimination analysis, three decision functions were established to effectively discriminate three appearance types of FSGT. PRACTICAL APPLICATIONSFujian is one of the popular provinces producing green tea in China and has a long history of processing famous and superior green tea (FSGT), which have the best quality and are usually known for their distinctive appearances and flavors. FGST qualities among different appearances or within the same appearance originating from different areas or using different cultivars often have distinctive qualities and maybe have similar qualities. Traditionally, FGST qualities are appraised and discriminated by the sensory evaluation, which is subjective and difficult to describe qualities quantitatively. Chemometrics methods use chemical components as indicators, which are objective and achieve quantified qualities. Therefore, they could be used as advantageous complements or references for traditional sensory evaluation.

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Section: Resultsmentioning

confidence: 97%

Section: Pca Based On Indicators Of Tastementioning

confidence: 99%

Analysis on Quality Indicators of Taste and Infusion Color and Discrimination of Famous and Superior Green Tea with Different Appearances in Fujian Province, PR China

Guo

Lai

2015

Journal of Food Processing and Preservation

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“…Surprisingly, it can be applied in monitoring the formation of biofilms [68]. With its sensitivity for antioxidant, CV can be used in classifying black tea [69]. It is clear that indirect uses of CV can be used in the future in a variety of applications.…”

Section: Other Aspects Of Analysismentioning

confidence: 99%

Cyclic Voltammetry and Its Applications

Chooto¹

2019

Voltammetry

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Cyclic voltammetry is a versatile method for scientific investigation and innovation due to the fact that most processes involve electron transfer, which makes them be able to be monitored by this technique. Its uses cover characterization, synthesis, mechanisms, and analysis. In all applications, the technique can work well with a large variety of compounds including organic, inorganic, polymer, films, and semiconductors, among others. Furthermore, the method operates satisfactorily whether in a direct or an indirect approach. It can be considered to be an essential part at the very beginning that leads further to the grand project. As an analytical tool, it plays an important role in not only chemistry but also other involving areas. This review sheds the light on the way the technique proves to become one of the important instruments in research, development, and application labs.

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“…Black tea is one kind of teas which is very popular and widely consumed by people all over the world [1][2][3][4]. Determination of the black tea quality is a very complex phenomenon because it contains more than two hundred varieties of the biochemical composition of both volatile and non-volatile [5].…”

Section: Introductionmentioning

confidence: 99%