Classification of black tea liquor using cyclic voltammetry

Article ID	Journal	Published Year	Pages	File Type
10278069	Journal of Food Engineering	2012	7 Pages	PDF

Abstract

âº A new method for evaluating the black tea quality is proposed in this paper. âº The method employs the principle of cyclic voltammetry with platinum and glassy carbon as working electrode materials. âº Novelty of the technique is the use of artificial neural network on the data obtained from the entire voltammogram.

Keywords

Principal component analysis (PCA)Linear Discriminant Analysis (LDA)Neural network Cyclic voltammetry black tea

Related Topics

Physical Sciences and Engineering Chemical Engineering Chemical Engineering (General)

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Classification of black tea liquor using cyclic voltammetry

Authors

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