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Detection of benzylpenicillin sodium and ampicillin residue based on flower-like silver nanostructures using surface-enhanced Raman spectroscopy

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Abstract

The capability to evaluate antibiotic residues in a sensitive, rapid, and reliable manner, is of great importance. Surface-enhanced Raman spectroscopy (SERS) is the phenomenon related to rough surface, which is used to effectively detect residual antibiotics in food. In this work, SERS strategy was used for the determination of antibiotic Benzylpenicillin sodium (NaBP) and Ampicillin (AMP) in the milk based on flower-like Ag nanoparticles, synthesized at 25 °C. A liner correlation was twigged between the SERS signal and the concentration for NaBP and AMP, with regression coefficient of 0.997 and 0.987. The limit of detection of NaBP and AMP residue based on this SERS-based detection, can be as low as 6.3 × 10–9 mol L−1 and 9.2 × 10–10 mol L−1, respectively. The presented method can be used for the determination of NaBP and AMP residue in milk. The recovery is 83–95% and 80–96%, and the relative standard deviation is 4.7–8.5% and 5.3–15.1%, respectively, which could be a simple method for the determination of antibiotic residues in animal derived food.

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Funding

This work was supported by the National Natural Science Foundation of China (Grant No. 31870045).

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Authors and Affiliations

  1. School of Medical Instrument and Food Engineering, Shanghai Engineering Research Center for Food Rapid Detection, University of Shanghai for Science and Technology, Shanghai, 200082, People’s Republic of China

    Hualan Zhou, Yingfang Liang, Jianguo Zhang & Feng Wang

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  1. Hualan Zhou
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  2. Yingfang Liang
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  3. Jianguo Zhang
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  4. Feng Wang
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Correspondence to Hualan Zhou.

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Zhou, H., Liang, Y., Zhang, J. et al. Detection of benzylpenicillin sodium and ampicillin residue based on flower-like silver nanostructures using surface-enhanced Raman spectroscopy. Res Chem Intermed 48, 117–128 (2022). https://doi.org/10.1007/s11164-021-04574-9

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