首页|Hebei University Reports Findings in Machine Learning (An asynchronous response fluorescence sensor combines machine learning theory to qualitatively and quanti tatively detect tetracyclines)
Hebei University Reports Findings in Machine Learning (An asynchronous response fluorescence sensor combines machine learning theory to qualitatively and quanti tatively detect tetracyclines)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting out of Baoding, People’s Repu blic of China, by NewsRx editors, research stated, “Excess use of tetracyclines poses significant health risks arising from animal-derived foods, meaning simple and sensitive methods to detect tetracyclines would be beneficial given current laboratory methods are complex and expensive. Herein, we describe an asynchrono us response fluorescence sensor constructed based on Zn-based metal-organic fram ework and Ru(bpy) (denoted as Ru@Zn-BTEC) for the qualitative and quantitative d etection of tetracyclines in foods.”
BaodingPeople’s Republic of ChinaAsi aAntibioticsAromatic Polycyclic HydrocarbonsCyborgsEmerging TechnologiesHydrocarbonsMachine LearningNaphthacenesRisk and PreventionTetracyclin es
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