首页|Reports on Machine Learning Findings from Ningbo University Provide New Insights (Machine Learning-assisted Wide-gamut Fluorescence Visual Test Paper for Propaz ine Determination In Fish and Seawater Samples)
Reports on Machine Learning Findings from Ningbo University Provide New Insights (Machine Learning-assisted Wide-gamut Fluorescence Visual Test Paper for Propaz ine Determination In Fish and Seawater Samples)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Machine Learning. According to news originatingfrom Ningbo, People’s Republic o f China, by NewsRx correspondents, research stated, “Molecularlyimprinted polym er (MIP-QDs) with fluorescence quenching ability toward propazine was synthesize d forpropazine detection. b(Blue)-MIP-QDs were prepared using ZnCdS/ZnS QDs via reverse micro-emulsion, whereas r(red)-MIP-QDs were synthesized using CdSe/ZnS QDs. By utilizing graphene quantum dots(GQDs) as a stable fluorescence intensit y reference, the wide-gamut fluorescence test paper was constructedon the basis of mixing b-MIP-QDs, r-MIP-QDs, and GQDs under the optimal ratio.”
NingboPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningNingbo University
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