4.7 Article

Vancomycin recognition and induced-aggregation of the Au nanoparticles through freeze-thaw for foodborne pathogen Staphylococcus aureus detection

期刊

ANALYTICA CHIMICA ACTA
卷 1190, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.aca.2021.339253

关键词

Vancomycin; Fe3O4-Aptamer; AuNPs; Freeze-thaw; S. aureus; Detection

资金

  1. NSFC [82073602]
  2. National Natural Science Foundation of Jilin Province [20200201081JC]
  3. open project of the CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety [NSKF202006]
  4. Graduate Innovation Fund of Jilin University [101832020CX273, 101832020CX276]

向作者/读者索取更多资源

In this study, a visual detection method for Staphylococcus aureus was developed by combining gold nanoparticles, aptamer, vancomycin, and magnetic enrichment. The method offers simplicity, rapidity, and high sensitivity, and can be extended to the detection of other Gram-positive bacteria.
Infectious diseases caused by foodborne pathogens have become a serious public health problem. It is urgent to develop simple, rapid, and visual methods for pathogen detection. Herein, gold nanoparticles (AuNPs), aptamer and vancomycin (Van) based dual-recognition molecules and magnetic enrichment were combined to realize visual detection of Staphylococcus aureus (S. aureus). Initially, S. aureus was bounded to aptamer coupled Fe3O4 with high affinity and selectivity, which can achieve the separation and enrichment of S. aureus in complex sample matrix. Subsequently, the second recognition molecule, Van, was conjugated to S. aureus -Apt - Fe3O4. Finally, the unbound Van supernatant was dropped in AuNPs solution that induced the aggregation of the AuNPs through freeze-thaw. Firstly, it was found that AuNPs were stable in the presence of Van after a freeze-thaw cycle. A facile visual colorimetric detection of S. aureus was constructed with the linear range from 10(1) to 10(4) CFU/mL and the limit of detection (LOD) of 0.2 CFU/mL. By altering the aptamer, this method can be extended to the other Gram-positive bacteria. The proposed method has great potential applications in monitoring food contamination and infectious diseases. (C) 2021 Elsevier B.V. All rights reserved.

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