Reports from Central South University of Forestry and Technology Highlight Recen t Findings in Machine Learning (A Novel Approach and Mechanistic Insight Into th e Co-extraction of Essential Oil and Pectin From citrus Aurantium L. Var. ...)
Reports from Central South University of Forestry and Technology Highlight Recen t Findings in Machine Learning (A Novel Approach and Mechanistic Insight Into th e Co-extraction of Essential Oil and Pectin From citrus Aurantium L. Var. ...)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news originating from Hunan, People's Republic of C hina, by NewsRx correspondents, research stated, "A green and efficient approach for the co-extraction of essential oil and pectin from Citrus aurantium L. var. amara Engl. was achieved by combining deep eutectic solvents (DES) with steam d istillation. The optimal technological parameters were precisely identified thro ugh single-factor, response surface, and machine learning, with the DES concentr ation of 11.2%, the liquid-solid ratio of 10.6 mL/g, and the distil lation time of 56.0 min." Financial supporters for this research include National Key Research and Develop ment Program of China, China Guangxi Key Laboratory of Chemistry and Engineering of Forest Products, Postgraduate Scientific Research Innovation Project of Huna n Province.
Key words
Hunan/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Central South University of F orestry and Technology
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