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Fabrication of Ag NPs decorated on electrospun PVA/PEI nanofibers as SERS substrate for detection of enrofloxacin

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Abstract

Silver nanoparticles (Ag NPs) were decorated on the electrospun polyvinyl alcohol (PVA)/polyethyleneimine (PEI) nanofibers by electrostatic adsorption in order to prepare Ag@PVA/PEI SERS substrate. The morphology and chemical structure analysis show that the metal Ag NPs are decorated on the PVA/PEI nanofibers surface uniformly. The lowest distinguishable level of Rhodamine 6G (R6G) is 10−6 M of Ag@PVA/PEI nanofibers SERS substrate. It exhibits remarkable enhancement effect (EF = 1.4 × 105), good reproducibility (RSD = 9.5%). By the investigations of Raman spectra analysis, the Ag@PVA/PEI nanofibers substrate presented high sensitivity in the detection of enrofloxacin. Therefore, it facilitates a simple, direct, in-situ method for enrofloxacin residue detection on an irregular prawn surface.

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Acknowledgements

This work was financially supported by the Youth Foundation of Hebei Educational Committee (Grant No. QN2020401), the Natural Science Foundation of Hebei Province (Grant No. E2019209474) and Outstanding Youth Fund of North China University of Science and Technology (Grant No. JQ201712).

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Authors and Affiliations

  1. School of Chemical Engineering and Technology, Hebei University of Technology, Tian**, 200120, China

    Ying Chen & Jilin Cao

  2. Testing and Analysis Center, North China University of Science and Technology, Tangshan, 063210, China

    Ying Chen

  3. College of Material Science and Engineering, North China University of Science and Technology, Tangshan, 063210, China

    Hengyong Wei, Yingna Wei & Xuepei Wang

  4. College of Pharmaceutical Sciences, North China University of Science and Technology, Tangshan, 063210, China

    Zhengang Wu & Yuan Pei

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  1. Ying Chen
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Correspondence to Jilin Cao or Hengyong Wei.

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Chen, Y., Cao, J., Wei, H. et al. Fabrication of Ag NPs decorated on electrospun PVA/PEI nanofibers as SERS substrate for detection of enrofloxacin. Food Measure 16, 2314–2322 (2022). https://doi.org/10.1007/s11694-022-01299-0

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