DOI: 10.1039/d6ra06190g ISSN: 2046-2069

Machine learning-enhanced fluorescence signal processing of carbon quantum dots for high-accuracy chemical sensing

Biju Theruvil Sayed, Maharshikumar B. Shukla, Sumit Sharma, Zyad Shaaban, Divya Singhal, Ozodbek Nematov, Ibrokhim Sapaev, Tawfeeq Alghazali, Aseel Smerat, Sahar Bayatinia

Carbon quantum dots (CQDs) display complex photophysical behaviors, including excitation-dependent emission, surface-state variability, and multimodal fluorescence pathways, making accurate signal interpretation in chemical sensing challenging.

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