Investigation of Microbial Fermentation Degree of Pu-Erh Tea Using Deep Learning Coupled Colorimetric Sensor Array via Prediction of Total Polyphenols

Investigation of Microbial Fermentation Degree of Pu-Erh Tea Using Deep Learning Coupled Colorimetric Sensor Array via Prediction of Total Polyphenols

The degree of tea fermentation is crucial as it ultimately indicates the quality of the tea. Hence, this study developed a total polyphenol prediction system for Pu-erh tea liquid using eight porphyrin dyes and one pH dye in a printed colorimetric sensor array (CSA) coupled with a convolutional neur...

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Bibliographic Details
Main Authors: Min Liu, Cui Jiang, Md Mehedi Hassan, Xinru Zhang, Runxian Wang, Renyong Cao, Wei Sheng, Huanhuan Li
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Chemosensors
Subjects:
Pu-erh tea
microbial fermentation
optimization
colorimetric sensor array
convolutional neural network
Online Access:https://www.mdpi.com/2227-9040/12/12/265
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