首页|Studies from Nicolaus Copernicus University in Torun Provide New Data on Machine Learning (Tuning Ferulic Acid Solubility in Choline-Chloride- and Betaine-Based Deep Eutectic Solvents: Experimental Determination and Machine Learning Modelin g)
Studies from Nicolaus Copernicus University in Torun Provide New Data on Machine Learning (Tuning Ferulic Acid Solubility in Choline-Chloride- and Betaine-Based Deep Eutectic Solvents: Experimental Determination and Machine Learning Modelin g)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingoriginating from Bydgoszcz, Poland, by NewsRx correspondents, research stated, “Deep eutectic solvents(DES ) represent a promising class of green solvents, offering particular utility in the extraction anddevelopment of new formulations of natural compounds such as ferulic acid (FA). The experimental phaseof the study undertook a systematic in vestigation of the solubility of FA in DES, comprising choline chlorideor betai ne as hydrogen bond acceptors and six different polyols as hydrogen bond donors. ”
Nicolaus Copernicus University in TorunBydgoszczPolandEuropeAnionsBetaineChloridesCholineCyborgsEmergi ng TechnologiesEthanolaminesHydrochloric AcidMachine LearningQuaternary Ammonium CompoundsTrimethyl Ammonium Compounds
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