Robotics & Machine Learning Daily News2024,Issue(Feb.16) :43-44.DOI:10.1016/j.microc.2023.109813

New Findings Reported from Jiangsu University Describe Advances in Robotics and Machine Learning (Porphyrin and Ph Sensitive Dyebased Colorimetric Sensor Array Coupled Chemometrics for Dynamic Monitoring of Tea Quality During ...)

Robotics & Machine Learning Daily News2024,Issue(Feb.16) :43-44.DOI:10.1016/j.microc.2023.109813

New Findings Reported from Jiangsu University Describe Advances in Robotics and Machine Learning (Porphyrin and Ph Sensitive Dyebased Colorimetric Sensor Array Coupled Chemometrics for Dynamic Monitoring of Tea Quality During ...)

扫码查看

Abstract

Current study results on Robotics and Machine Learning have been published. According to news reporting from Zhenjiang, People's Republic of China, by NewsRx journalists, research stated, "In current work, the response surface methodology using Box-Behnken design was initially used to optimize the fermentation conditions of green tea via consumption rate of tea polyphenol (CROTP) as a response value. The CROTP reached its maximum (25.78 %) when the fermentation pH, ultrasonic time and ultrasonic frequency were set at 5, 15 min and 50 kHz, respectively."

Key words

Zhenjiang/People's Republic of China/Asia/Robotics and Machine Learning/Biological Factors/Biological Pigments/Chemometric/Emerging Technologies/Machine Learning/Porphyrins/Jiangsu University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
被引量3
参考文献量32
段落导航相关论文