首页|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 ...)
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 ...)
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NETL
NSTL
Elsevier
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."
ZhenjiangPeople's Republic of ChinaAsiaRobotics and Machine LearningBiological FactorsBiological PigmentsChemometricEmerging TechnologiesMachine LearningPorphyrinsJiangsu University
NETL
NSTL
Elsevier
