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An Advanced Molecularly Imprinted Photochemical Sensor Based Carbon Quantum dots for Highly Sensitive Detection of Chloramphenicol in Food

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Abstract

A facile method which combines the advantages of carbon quantum dots and molecular imprinting technology to design a fluorescence molecular imprinting sensor for the high sensitivity and selective detection of chloramphenicol. The fluorescent molecule imprinted polymers are synthesized by sol-gel polymerization using carbon quantum dots as functional monomers and fluorescent sources, TEOS as crosslinkers, breaking with the traditional understanding of an additional functional monomer. Under optimal experimental, as the concentration of chloramphenicol increases, the fluorescence intensity of the fluorescence molecule imprinting sensor gradually decreases. The concentration of chloramphenicol is linear in the range of 5–100 µg/L and the detection limit is 1 µg/L (N/S = 3). The sensor is able to detect chloramphenicol in milk, enabling the application of real samples. The results show that this work provides an easy method to preparing fluorescent molecular imprinting sensors for the detection of chloramphenicol in milk.

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Funding

This work was fancially supported by the National Natural Science Foundation of China (No. 22274096).

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Authors and Affiliations

  1. Department of Chemistry, College of Sciences, Shanghai University, Shanghai, 200444, PR China

    Hao Liu, Jing Yang, Xuyuan Sun, Peijie Wu, Guan Wang, Yan Huang, Li Li & Yaping Ding

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  1. Hao Liu
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  2. Jing Yang
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  3. Xuyuan Sun
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  4. Peijie Wu
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  5. Guan Wang
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  6. Yan Huang
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  7. Li Li
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  8. Yaping Ding
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Contributions

Hao Liu: Conceptualization, Methodology, Formal analysis, Investigation, Data curation, Writing - original draft, Writing - review & editing. Xuyuan Sun: Resources. Peijie Wu: Resources. Guan Wang: Resources. Jing Yang: Resources. Yan Huang: Resources. Li Li: Supervision, Writing - review & editing. Yaping Ding: Funding acquisition, Supervision, Writing - review & editing. All authors reviewed the manuscript.

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Correspondence to Li Li or Yaping Ding.

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Liu, H., Yang, J., Sun, X. et al. An Advanced Molecularly Imprinted Photochemical Sensor Based Carbon Quantum dots for Highly Sensitive Detection of Chloramphenicol in Food. J Fluoresc (2023). https://doi.org/10.1007/s10895-023-03333-w

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