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)

Robotics & Machine Learning Daily News2024，Issue(Apr.8) ：64-64.

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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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Abstract

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.”

Key words

Xinjiang/People’s Republic of China/As ia/Bacteria/Cyborgs/Drugs and Therapies/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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