Preparation of molecular imprinted fluorescence sensor based on Er3+/ZnS QDs and its selective detection of ciprofloxacin in various matrices.
| Autor: | Li S; Qiqihar Medical University, Qiqihar, China., Wang H; Qiqihar Medical University, Qiqihar, China., Wang J; Qiqihar Medical University, Qiqihar, China., Xu F; Qiqihar Medical University, Qiqihar, China., Li H; Qiqihar Medical University, Qiqihar, China. |
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| Jazyk: | angličtina |
| Zdroj: | PloS one [PLoS One] 2024 Dec 19; Vol. 19 (12), pp. e0312156. Date of Electronic Publication: 2024 Dec 19 (Print Publication: 2024). |
| DOI: | 10.1371/journal.pone.0312156 |
| Abstrakt: | Background: Ciprofloxacin is a widely used antibiotic in medicine and agriculture. It can cause pollution to the environment and food, thereby affecting human health. Objective: This study proposes the preparation of molecular imprinted fluorescent sensors and their selective detection of ciprofloxacin, with the aim of achieving specific recognition and accurate detection of ciprofloxacin. Methods: Rare earth metal Er3+ is added to ZnS quantum dots to prepare a molecularly imprinted fluorescence sensor (MIP/Er3+/ZnS QDs). The effects of substance concentration, pH value, and time on the fluorescence detection intensity are analyzed to determine the optimal fluorescence detection conditions. Results: Experimental results showed that the sensor accurately detected ciprofloxacin with a detection limit of 31 nmol/L and the linear range of 0.1-10 μmol/L. The sensor had a recovery rate of 99.7% to 103.5% for ciprofloxacin in milk samples, with a relative standard deviation of less than 5%, indicating accurate determination of ciprofloxacin content. Conclusion: Molecularly imprinted fluorescent sensors have enormous application potential in the monitoring and control of ciprofloxacin, and are of great significance for ensuring environmental and food safety. Competing Interests: The authors have declared that no competing interests exist. (Copyright: © 2024 Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.) |
| Databáze: | MEDLINE |
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