Applications of Electronic Nose Coupled with Statistical and Intelligent Pattern Recognition Techniques for Monitoring Tea Quality: A Review

• Published in: Agriculture (Basel) Vol. 12; no. 9; p. 1359
• Main Authors: Kaushal, Sushant, Nayi, Pratik, Rahadian, Didit, Chen, Ho-Hsien
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.09.2022
• Subjects: adulterated products; agriculture; Alcoholic beverages; Algorithms; aroma; Chromatography; Consumer behavior; Consumer preferences; Consumers; electronic nose; Electronic noses; Fermentation; Food; Food quality; Gas sensors; Gases; humans; Instrumentation; intelligent pattern recognition; Mass spectrometry; Monitoring; non-alcoholic beverages; Nondestructive testing; Odors; Olfaction; Pattern recognition; Polyphenols; Quality assurance; Quality control; Quality management; Scientific imaging; Sensors; smell; Statistics; Supply and demand; Tea; tea quality; Volatility

Tea is the most widely consumed non-alcoholic beverage worldwide. In the tea sector, the high demand for tea has led to an increase in the adulteration of superior tea grades. The procedure of evaluating tea quality is difficult to assure the highest degree of tea safety in the context of consumer p...