AIMC Topic: Quantum Dots

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Machine Learning-Assisted Multicolor Fluorescence Assay for Visual Data Acquisition and Intelligent Inspection of Multiple Food Hazards Regardless of Matrix Interference.

ACS sensors Jun 27, 2025
Regarding the significant health risks of pesticide residue in foods, while current sensors still suffer from limited efficiency and stability, as well as difficulties in qualitative identification and quantitative detection of mixtures, development ...
Machine Learning Fluorescence Food Contamination Quantum Dots Spectrometry, Fluorescence Pesticide Residues
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Machine learning-guided fabrication of carbon dot-pepsin nano-conjugates for enhanced bioimaging, synergistic drug delivery, and visible light-induced photosensitization.

Nanoscale Jun 12, 2025
Carbon dots (CDs) are emerging as next-generation bioimaging agents due to their strong fluorescence, photobleaching resistance, and biocompatibility. However, their small size often limits efficient cell internalization, leading to unspecified cellu...
Humans Machine Learning Drug Delivery Systems Nanoparticles Carbon Reactive Oxygen Species Drug Carriers Quantum Dots Light THP-1 Cells Doxorubicin Photochemotherapy Photosensitizing Agents
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[Fluorescent and Magnetic Relaxation Switch Immunosensor for the Detecting Foodborne Pathogen Salmonella enterica in Water Samples].

Guang pu xue yu guang pu fen xi = Guang pu Nov 1, 2015
Fluoroimmunoassay based on quantum dots (QDs) and magnetic relaxation switch (MRS) immunoassay based on superparamagnetic nanoparticles (SMN) were constructed to detect Salmonella enterica (S. enterica) in water samples. In fluoroimmunoassay, magneti...
Water Quantum Dots Magnetite Nanoparticles Magnetic Phenomena Salmonella enterica Water Microbiology Fluoroimmunoassay
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