Black Tea Quality Evaluation using Electronic Nose & Electronic Tongue | Exploration of Different Data Analysis Techniques

Laxmi Shaw

ISBN 10: 3843394741 / ISBN 13: 9783843394741

Published by LAP LAMBERT Academic Publishing, 2013

About this Item

Black Tea Quality Evaluation using Electronic Nose & Electronic Tongue | Exploration of Different Data Analysis Techniques | Laxmi Shaw | Taschenbuch | 148 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783843394741 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 105606255

Bibliographic Details

• Title: Black Tea Quality Evaluation using Electronic Nose & Electronic Tongue | Exploration of Different Data Analysis Techniques
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2013
• Language: English
• ISBN 10: 3843394741
• ISBN 13: 9783843394741
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 10D millimeters 220 millimeters width by 150 millimeters height by 10 millimeters depth
• Weight: 238 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Replication of the human olfactory system and the human perception of taste by electronic means have been attempted by scientists. The prototypes are referred as electronic nose and electronic tongue and comprises of compound specific sensors active in gaseous and aqueous medium respectively. Though the electronic prototypes have found conceptual acceptance, the commercialization of the same has been a distant reality. In the present form the areas of utility for the models includes detection and discrimination of complex compounds. The discrimination is based on the variation in the amount of volatiles exuded in the case of the electronic nose as detected by the gas sensors and the change in electron balance in the case of the electronic tongue whose electrode constituencies record the variation.Either of the instruments has attracted attention in the field of discrimination of beverages, environmental pollution, medical diagnosis etc. The systems are often towed with a pattern recognition engine that enables performing complex analysis of the sensor signals generated to suit a particular application.Estimation of quality of tea using electronic nose and tongue has been attempted.

About the Author

Laxmi Shaw is currently pursuing her PhD from one of the premier institute, IIT Kharagpur, India in the department of Electrical Engineering. Her research interest includes Pattern recognition, Machine learning, Signal processing, Wireless sensor networks, Bio sensors and Bio medical Instrumentation.