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Highly Sensitive and Selective Detection of Amoxicillin Using Carbon Quantum Dots Derived from Beet
Kunjie Wang1, Qingjuan Ji2, Jialin Xu2
1College of Petrochemical Technology, Lanzhou University of Technology, Lanzhou, 730050, China. Wangkj80@163.com.
Journal of Fluorescence
|May 21, 2018
Summary
We developed eco-friendly carbon quantum dots (CQDs) from beet powder for detecting amoxicillin (AMO). These CQDs show enhanced fluorescence with AMO, enabling sensitive biomedical applications.
Area of Science:
- Materials Science
- Nanotechnology
- Biochemistry
Background:
- Carbon quantum dots (CQDs) are promising nanomaterials with unique optical and electronic properties.
- Developing sustainable and cost-effective synthesis methods for CQDs is crucial for their widespread application.
- Biocompatible fluorescent probes are needed for sensitive detection of pharmaceuticals in biomedical settings.
Purpose of the Study:
- To synthesize CQDs from readily available beet powder using a simple hydrothermal method.
- To characterize the synthesized CQDs and evaluate their fluorescence properties.
- To investigate the potential of CQDs as fluorescent probes for amoxicillin (AMO) detection.
Main Methods:
- One-step hydrothermal synthesis of CQDs using dried beet powder.
- Characterization of CQDs using techniques to determine size, morphology, and surface functional groups.
- Fluorescence spectroscopy to study the interaction between CQDs and amoxicillin (AMO).
Main Results:
- Quasi-spherical CQDs (4-8 nm) with carboxyl and hydroxyl groups were successfully synthesized.
- CQDs exhibited good water-solubility, biocompatibility, and strong fluorescence.
- Amoxicillin (AMO) enhanced the fluorescence intensity of CQDs in a concentration-dependent linear manner.
Conclusions:
- Beet powder is a viable and sustainable precursor for CQD synthesis.
- The synthesized CQDs demonstrate excellent fluorescence properties and sensitivity to amoxicillin.
- These CQDs hold significant potential for developing sensitive and cost-effective biomedical diagnostic tools for amoxicillin detection.
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