首页|College of Life Science and Technology Reports Findings in Machine Learning (Col orimetric sensor array for the rapid distinction and detection of various antibi otic-resistant psychrophilic bacteria in raw milk based-on machine learning)
College of Life Science and Technology Reports Findings in Machine Learning (Col orimetric sensor array for the rapid distinction and detection of various antibi otic-resistant psychrophilic bacteria in raw milk based-on machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting originating in Xinjiang, Peop le’s Republic of China, by NewsRx journalists, research stated, “Inthis study, a rapid, inexpensive, and accurate colorimetric sensor for detecting psychrophil ic bacteria wasdesigned, comprising gold (Au) nanoparticles (NPs) modified by d -amino acid (D-AA) as color-metricprobes. Based on the aggregation of Au NPs in duced by psychrophilic bacteria, a noticeable color shiftoccurred within 6 h.”
XinjiangPeople’s Republic of ChinaAs iaBacteriaCyborgsDrugs and TherapiesEmerging TechnologiesMachine Learning
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