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Rapid Synthesis of Covalent Organic Framework at Room Temperature Incorporated Electrospun Nanofiber for Thin Film Microextraction of Quinolone Antibiotics in Honey and Chicken Samples.

  • Published In: Journal of Separation Science, 2024, v. 47, n. 23. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Chen, An; Su, Xuan; Zhou, Yusong; Cheng, Wen‐Bo; He, Xiwen; Chen, Langxing; Zhang, Yukui 3 of 3

Abstract

In this work, the covalent organic frameworks–incorporated electrospun nanofiber membranes were used as a highly efficient adsorbent to enrich quinolone antibiotics in food samples. Covalent organic frameworks composed of 1,3,5‐tris(4‐aminophenyl) benzene and 2,5‐dihydroxyterephthalaldehyde were rapid prepared only 20 min at room temperature, then were further synthesized into electrospun polyacrylonitrile nanofiber membranes by electrospinning the binary precursors solution directly. Coupled with high‐performance liquid chromatography with ultraviolet detector, the method exhibited good linearity in the range of 1–100 ng·mL−1 for four quinolone antibiotics, with low limits of detection 0.19–0.34 ng·mL−1 (signal‐to‐noise ratio = 3). The recoveries of four quinolone antibiotics were 86%–116%, and relative standard deviations of the intra‐ and interday for four quinolone antibiotics were 0.7%–9.0%, respectively. The practical application of the thin film microextraction method using nanofiber membranes as adsorbent for detecting four quinolone antibiotics in animal‐derived food samples was demonstrated. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Separation Science. 2024/12, Vol. 47, Issue 23, p1
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2024
  • ISSN:1615-9306
  • DOI:10.1002/jssc.70035
  • Accession Number:181663362
  • Copyright Statement:Copyright of Journal of Separation Science is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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