Data from Harbin Institute of Technology Provide New Insights into Machine Learning (Linking Metabolomics To Machine Learning Reveals the Metabolic Fates of the Refractory Industrial Pollutant 1-hexadecene)
Data from Harbin Institute of Technology Provide New Insights into Machine Learning (Linking Metabolomics To Machine Learning Reveals the Metabolic Fates of the Refractory Industrial Pollutant 1-hexadecene)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning. According to news reporting out of Heilongjiang, People’s Repu blic of China, by NewsRx editors, research stated, “In order to solve the low re moval efficiency of 1-Hexadecene in industrial wastewater treatment plants and f ill the knowledge gap of its microbial metabolic mechanisms, this work studied t he 1-Hexadecene degrading microorganisms enrichment and its metabolic pathway us ing continuous bioreactors and batch incubation tests. With the successful enric hment of hexadecene-degrading microorganisms, the biodegradation rates of 1-Hexa decene at 50 -200 mg/L could range from 58.6 % to 72.5 % . The 16S rRNA fragment and microbial community analysis identified Flavihumibac ter , Gemmatimonas , and Caulobacter as putative 1-Hexadecene degraders.”
Key words
Heilongjiang/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Harbin Institute of Technology
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