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Electrospun Graphene Oxide–Doped Nanofiber-Based Solid Phase Extraction Followed by High-Performance Liquid Chromatography for the Determination of Tetracycline Antibiotic Residues in Food Samples

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Abstract

In this study, electrospun graphene oxide–doped poly(acrylonitrile-co-maleic acid) nanofibers (E-spun-GO-PANCMA-NFs) were fabricated and investigated as novel adsorbent for solid phase extraction (SPE) of tetracycline antibiotics (TCs) in chicken samples. The as-synthesized E-spun-GO/PANCMA-NFs were characterized and then used as SPE adsorbent to combine with high-performance liquid chromatography-fluorescence detection (HPLC-FLD) for simultaneous determination of four TCs (tetracycline, oxytetracycline, chlorotetracycline, and doxycycline). The experimental parameters affecting the analytical performance of this method, including sample pH, ionic strength, solvent type, volume and time desorption, and sample volume, were optimized. Under the optimized conditions, the proposed method provided good linearity from 5 to 500 ng/mL, with correlation coefficients higher than 0.9990, limits of detection from 20.4 to 44.8 μg/kg, and limits of quantification from 69.7 to 115.5 μg/kg. The intra- and inter-day RSDs were less than 5%. The recoveries of TCs spiked in chicken muscle samples were from 84.7 to 106.3% with RSDs in the range of 0.4–4.5%. Finally, the proposed E-spun-GO/PANCMA-NF-based SPE-HPLC-FLD method has been successfully applied to the analysis of TCs in chicken tissue samples, and thus offered a great prospect for TC analysis mainly in the applications of food quality and safety protection.

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Funding

This work was supported by the National Natural Science Foundation of China (21465008 and 21665006), the National Key R&D Program of China (No. 2017YFF0211304), the Natural Science Foundation from Guangxi Zhuang Autonomous Region (2018GXNSFAA138134, 2015GXNSFAA139024, and 2015GXNSFFA139005), the Technical Innovation Project funded by the Chinese Academy of Agricultural Sciences, the project of High Level Innovation Team and Outstanding Scholar in Guangxi Colleges and Universities (Guijiaoren [2014] 49), the Guangxi Colleges and Universities Key Laboratory of Food Safety and Detection, and the Research Program of Guangxi Specially-invited Experts (TingFa [2018] 39).

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Author notes

  1. Rui Weng and Lingshun Sun contributed equally to this work.

Authors and Affiliations

  1. Key Laboratory of Agro-food Safety and Quality of Ministry of Agriculture and Rural Affairs, Institute of Quality Standards and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, 100081, China

    Rui Weng

  2. Guangxi Key Laboratory of Electrochemical and Magnetochemical Functional Materials, College of Chemistry and Bioengineering, Guilin University of Technology, Guilin, 541004, China

    Lingshun Sun, Liping Jiang, Na Li, Guihua Ruan, Jianping Li & Fuyou Du

  3. Key Laboratory of Theoretical Organic Chemistry and Function Molecule of Ministry of Education, School of Chemistry and Chemical Engineering, Hunan University of Science and Technology, Xiangtan, 411201, China

    Fuyou Du

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  1. Rui Weng
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  2. Lingshun Sun
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  4. Na Li
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Correspondence to Fuyou Du.

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Conflict of Interest

Rui Weng declares that she has no conflict of interest. Lingshun Sun declares that he has no conflict of interest. Liping Jiang declares that she has no conflict of interest. Na Li declares that she has no conflict of interest. Guihua Ruan declares that he has no conflict of interest. Jianping Li declares that he has no conflict of interest. Fuyou Du declares that he has no conflict of interest.

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This article does not contain any studies with animals performed by any of the authors. This article does not contain any studies with human participants or animals performed by any of the authors.

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Weng, R., Sun, L., Jiang, L. et al. Electrospun Graphene Oxide–Doped Nanofiber-Based Solid Phase Extraction Followed by High-Performance Liquid Chromatography for the Determination of Tetracycline Antibiotic Residues in Food Samples. Food Anal. Methods 12, 1594–1603 (2019). https://doi.org/10.1007/s12161-019-01495-7

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