N
Nabarun Bhattacharyya
Researcher at Centre for Development of Advanced Computing
Publications - 140
Citations - 2411
Nabarun Bhattacharyya is an academic researcher from Centre for Development of Advanced Computing. The author has contributed to research in topics: Electronic nose & Electronic tongue. The author has an hindex of 23, co-authored 136 publications receiving 1960 citations. Previous affiliations of Nabarun Bhattacharyya include Heritage Institute of Technology & Saint Petersburg State University.
Papers
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Journal ArticleDOI
Electronic Nose for Black Tea Classification and Correlation of Measurements With “Tea Taster” Marks
Nabarun Bhattacharyya,Rajib Bandyopadhyay,Manabendra Bhuyan,Bipan Tudu,Devdulal Ghosh,Arun Jana +5 more
TL;DR: This paper presents a study where the selection of appropriate sensors was carried out based on sensitivity with the major aroma-producing chemicals of black tea, and the computational model has been developed based on artificial neural network methods to correlate the measurements with the tea taster's scores.
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Application of electronic nose for industrial odors and gaseous emissions measurement and monitoring--An overview.
TL;DR: The present review evaluates the key modules of the electronic nose, a biomimetic system, with specific examples of applications to industrial emissions monitoring and measurement, and describes the pros and cons of artificial olfaction technique for the industrial applications.
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Instrumental testing of tea by combining the responses of electronic nose and tongue
TL;DR: In this paper, the measured data from the individual systems are combined for improved estimation of black tea quality, and it is found that for the combined system, both the clustering and classification rates improve when compared to individual systems.
Journal ArticleDOI
Monitoring of black tea fermentation process using electronic nose
Nabarun Bhattacharyya,Sohan Seth,Bipan Tudu,Pradip Tamuly,Arun Jana,Devdulal Ghosh,Rajib Bandyopadhyay,Manabendra Bhuyan +7 more
TL;DR: In this paper, a new electronic nose-based approach for monitoring of tea aroma during fermentation is proposed and two methods namely the 2-Norm method (2NM) and the Mahalanobis distance method (MDM) were tested and the results were correlated with the results of colorimetric tests and human expert evaluation.
Journal ArticleDOI
Classification of Black Tea Taste and Correlation With Tea Taster's Mark Using Voltammetric Electronic Tongue
M. Palit,Bipan Tudu,P.K. Dutta,Aveek Dutta,Arun Jana,J K Roy,Nabarun Bhattacharyya,Rajib Bandyopadhyay,Anutosh Chatterjee +8 more
TL;DR: A voltammetric electronic tongue instrument is described, which can declare tea-taster-like scores for black tea, and the efficacy of the classifier has been established using tenfold cross-validation methods.