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Surface-Imprinted Gold Nanoparticle-Based Surface-Enhanced Raman Scattering for Sensitive and Specific Detection of Patulin in Food Samples

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Abstract

As patulin is a kind of mycotoxin commonly found in fruit products, it is of great importance to develop simple and accurate analytical methods for the sensitive detection of patulin (PAT). In this work, based on molecular imprinted polymer (MIP) and surface-enhanced Raman scattering (SERS) technique, a specific and sensitive PAT sensor was developed. To prepare the MIP-SERS sensor, gold nanoparticles (Au NPs) were synthesized to act as supported substrate, 4-vinylpyridine (4-VP) served as functional monomer, 1,4-diacryloylpiperazine (PDA) served as cross-linker, PAT served as template molecule, and horseradish peroxidase (HRP) served as initiator. Owing to the good SERS character of Au NPs and excellent selectivity of MIP, the MIP-SERS sensor had a superior performance in PAT detection. Under the optimized conditions, this sensor exhibited a good linearity (R2 = 0.9877) with a range from 7.00 × 10−12 to 5.00 × 10−8 M for PAT. By simply incubating analytes with MIP-SERS substrate, the proposed method showed an enhanced SERS signal with a limit of detection of 5.37 × 10−12 M (S/N = 3). Besides, in the presence of interferences such as 2-oxindole (OXD) and 5-hydroxymethylfurfural (5-HMF), the MIP-SERS substrate showed good selectivity for PAT. What is more, the method had acceptable precision with recoveries of 96~108% in fruit product inspection, revealing its potential application in food analysis and safety verification.

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Acknowledgments

The authors would like to thank Miss Mingyue Li from College of Bioengineering and Food, Hubei University of Technology for the assistance during the organization of manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (31801638), the fund of the Beijing Laboratory for Food Quality and Safety, Beijing Technology and Business University (FQS-201808), the Key Laboratory of Biomarker Based Rapid-Detection Technology for Food Safety of Henan Province (2018xusp-001), and Hubei Provincial Institute for Food Supervision and Test, Hubei Provincial Engineering and Technology Research Center for Food Quality and Safety Test (201601012).

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Data curation and writing—original draft, Long Wu; formal analysis, Long Wu and Heng Yan; investigation, Xin Xu and Lin Zhu; resources, Heng Yan and Guanghui Li; supervision, Long Wu, Xiaoqiang Chen, and Jing Wang.

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Correspondence to Long Wu, Xiaoqiang Chen or Jing Wang.

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Long Wu declares that he has no conflict of interest. Heng Yan declares that he has no conflict of interest. Guanghui Li declares that she has no conflict of interest. Xin Xu declares that he has no conflict of interest. Lin Zhu declares that she has no conflict of interest. Xiaoqiang Chen declares that he has no conflict of interest. Jing Wang declares that she has no conflict of interest.

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Wu, L., Yan, H., Li, G. et al. Surface-Imprinted Gold Nanoparticle-Based Surface-Enhanced Raman Scattering for Sensitive and Specific Detection of Patulin in Food Samples. Food Anal. Methods 12, 1648–1657 (2019). https://doi.org/10.1007/s12161-019-01498-4

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