ArticleFrontiers in cellular and infection microbiology2025
Aptamer-functionalized graphene quantum dots combined with artificial intelligence detect bacteria for urinary tract infections.
Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Review
- Application of Quantum Dot Multimodal Imaging in Early Disease Diagnosis.Journal of fluorescence · 2026Review
- Recent progress in biowaste-derived carbon dots for cancer theranostics toward a green solution to toxic metal quantum dots.Discover nano · 2025Review
- Carbon Dots as Multifunctional Nanomaterials: A Review on Antimicrobial Activities and Fluorescence-Based Microbial Detection.Molecules (Basel, Switzerland) · 2025Review
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Authors and funding
8 authors.
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Abstract
Objectives: Urinary tract infection is one of the most prevalent forms of bacterial infection, and prompt and efficient identification of pathogenic bacteria plays a pivotal role in the management of urinary tract infections. In this study, we propose a novel approach utilizing aptamer-functionalized graphene quantum dots integrated with an artificial intelligence detection system (AG-AI detection system) for rapid and highly sensitive detection of Methods: Firstly, graphene quantum dots were modified with the aptamer that can specifically recognize and bind to Results: The AG-AI detection system, with wide linearity (10 Conclusions: The detection system is an accurate and effective way to detect bacteria in urinary tract infections.
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