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Logic-operated ratiometric fluorescent probe and smartphone sensor array for multiplexed fluoroquinolone detection
Xiang Li1, Lei Jia1, Yongxin Li1
1College of Chemistry and Chemical Engineering, Henan Polytechnic University, Jiaozuo, Henan 454000, China.
Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy
|October 28, 2025
Summary
New Tb/CdTe QD probes enable rapid detection of fluoroquinolone antibiotics (FQs) in food and water. This study developed a sensor array for differentiating multiple FQs, ensuring food and water safety.
Area of Science:
- Analytical Chemistry
- Environmental Science
- Materials Science
Background:
- Fluoroquinolone antibiotics (FQs) residues, including danofloxacin (DNX), enrofloxacin (ENR), norfloxacin (NFX), and pefloxacin (PEF), can accumulate in humans via contaminated food and water.
- The presence of FQs poses significant health risks, necessitating rapid and reliable detection methods.
Purpose of the Study:
- To develop a sensitive and selective probe for the quantitative detection of multiple FQs.
- To construct a logic gate sensor array for qualitative differentiation of FQs.
- To enable visual semi-quantitative detection of FQs using smartphone integration.
Main Methods:
- Development of terbium/cadmium telluride quantum dot (Tb/CdTe QD) probes.
- Construction of a logic gate sensor array for FQ differentiation.
- Testing the probe's performance in various real samples like water, milk, honey, and eggs.
- Integration with smartphone color recognition software for visual detection.
Main Results:
- The developed Tb/CdTe QD probe demonstrated excellent anti-interference capability and stability.
- High recovery rates were achieved in the detection of FQs in diverse real samples.
- Low detection limits were established for DNX (3.69 nM), ENR (6.56 nM), NFX (8.70 nM), and PEF (4.72 nM).
- Successful visual semi-quantitative detection of FQs was realized through smartphone integration.
Conclusions:
- The Tb/CdTe QD probe and logic gate sensor array offer a promising platform for the rapid and accurate detection of multiple FQs.
- The developed method provides a sensitive, stable, and anti-interference approach for monitoring FQ contamination in various matrices.
- The integration with smartphone technology facilitates on-site, visual, and semi-quantitative analysis, enhancing food and water safety monitoring.
Keywords:
Fluoroquinolone detectionLogic gate sensor arrayQuantum dotsRatiometric fluorescenceVisual intelligent sensing
