首页|Hefei University of Technology Reports Findings in Nanozymes (Machine learning-a ssisted laccase-like activity nanozyme for intelligently onsite real-time and dy namic analysis of pyrethroid pesticides)

Hefei University of Technology Reports Findings in Nanozymes (Machine learning-a ssisted laccase-like activity nanozyme for intelligently onsite real-time and dy namic analysis of pyrethroid pesticides)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Nanotechnology - Nanozymes is the subject of a report. According to news reporting from Hefei, People’s Republic of China, by NewsRx journalists, research stated, “The intelligently efficient, reliable, economical and portable onsite assay toward pyrethroid pesticides (PPs ) residues is critical for food safety analysis and environmental pollution trac eability. Here, a fluorescent nanozyme Cu- ATP@ [Ru(bpy)] with laccase-like activity was designed to develop a versatile machine learning- assisted colorimetric and fluorescence dual-modal assay for efficient onsite int elligent decision recognition and quantification of PPs residues.” The news correspondents obtained a quote from the research from the Hefei Univer sity of Technology, “In the presence of alkaline phosphatase (ALP), the laccase- like activity of Cu-ATP@ [Ru(bpy)] was enh anced to oxidize colorless o-phenylenediamine (OPD) into dark-yellow 2,3-diamino phenazine (DAP) via electron transfer, appearing a new yellow fluorescence at 55 0 nm. Meanwhile, the red fluorescence of Cu-ATP@ [Ru(bpy)] at 600 nm was quenched due to the internal filter effect (IFE) of DAP towards Cu -ATP@ [Ru(bpy)]. However, the selective in hibition of PPs toward ALP activity enabled to observe a dual-modal response of PPs concentration-dependent decrease in colorimetric signal and enhancement in t he fluorescence intensity ratio of F/F.”

HefeiPeople’s Republic of ChinaAsiaAgrochemicalsCyborgsEmerging TechnologiesEnzymes and CoenzymesFood Safe tyLaccaseMachine LearningNanotechnologyNanozymesOxidoreductasesPesti cides

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.17)