Lasting Tracking and Rapid Discrimination of Live Gram-Positive Bacteria by Peptidoglycan-Targeting Carbon Quantum Dots
Source abstract
Abstract
Selective discrimination and lasting tracking of live bacteria are primary steps for microbiology research and treatment of bacterial infection. However, conventional detection methods, such as the gold standard of Gram staining, are being challenged under actual test conditions. Herein, we provided a novel method, namely, three excitation peaks and single-color emission carbon quantum dots (T-SCQDs) for the rapid (5 min) peptidoglycan-targeting discrimination of Gram-positive bacteria and lasting tracking (24 h) through one-step staining. Bacterial viability testing indicates that T-SCQDs can achieve nondestructive identification of Gram-positive bacteria within 50–500 μg mL–1. Interestingly, the fluorescence imaging system suggests that T-SCQDs can also selectively distinguish the type of colonies based on fluorescence intensity. Furthermore, T-SCQDs were successfully used to visually distinguish Gram-positive bacteria from the microbial environment of A549 cells by confocal fluorescence microscopy. These properties endow T-SCQDs with excellent functions for the diagnosis of infection and other biological applications.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Carbon and Quantum Dots Applications · Biosensors and Analytical Detection · Advanced biosensing and bioanalysis techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Chemistry, School of Chemistry and Chemical Engineering, Northwestern Polytechnical University, Xi’an 710072, P. R. China
Department of Pharmaceutical Analysis, School of Pharmacy, Air Force Medical University, Xi’an 710032, P. R. China
Department of Thoracic Surgery, Tangdu Hospital, Air Force Medical University, Changlexilu 169, Xi’an 710033, China
Funding
National Natural Science Foundation of China · Shaanxi Innovation Capability Support Plan · Shaanxi Key Research and Development Program Foundation
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