Visualization of mulberry tea quality using an electronic sensor array, SPME-GC/MS, and sensory evaluation-Reference-Cited by-同舟云学术

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Visualization of mulberry tea quality using an electronic sensor array, SPME-GC/MS, and sensory evaluation

Published:2020-08 Issue: Volume:36 Page:100593
ISSN:2212-4292
Container-title:Food Bioscience
language:en
Short-container-title:Food Bioscience

Author:

Ruengdech Anchalee,Siripatrawan Ubonrat

Funder

Thailand Research Fund

Chulalongkorn University

90th Anniversary of Chulalongkorn University

Ratchadaphiseksomphot Endowment

Publisher

Elsevier BV

Subject

Biochemistry,Food Science

Reference35 articles.

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2. Electronic nose as a nondestructive tool to characterise peach cultivars and to monitor their ripening stage during shelf life;Benedetti;Postharvest Biology and Technology,2008

3. Qualitative and quantitative analysis of toxic materials in adulterated fruit pickle samples by a colorimetric sensor array;Bordbar;Sensors and Actuators B: Chemical,2018

4. The joint use of electronic nose and electronic tongue for the evaluation of the sensorial properties of green and black tea infusions as related to their chemical composition;Buratti;Food and Nutrition Sciences,2013

5. Effects of baking and aging on the changes of phenolic and volatile compounds in the preparation of old Tieguanyin oolong teas;Chen;Food Research International,2013

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1. Enhancing classification rate of electronic nose system and piecewise feature extraction method to classify black tea with superior quality;Scientific African;2024-06

2. Economic Importance of Mulberry;Mulberry;2023-12-10

3. Flavour by design: food-grade lactic acid bacteria improve the volatile aroma spectrum of oat milk, sunflower seed milk, pea milk, and faba milk towards improved flavour and sensory perception;Microbial Cell Factories;2023-07-21

4. Assessment of E-Senses Performance through Machine Learning Models for Colombian Herbal Teas Classification;Chemosensors;2023-06-21

5. Discrimination of whole grape juice using fluorescence spectroscopy data with linear discriminant analysis coupled to genetic and ant colony optimisation algorithms;Analytical Methods;2023

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