Label-free SERS detection of foodborne pathogens based on a flexible PMMA-BP@MoS2 binary substrate

Abstract

Foodborne pathogenic bacteria, acting as direct or indirect contaminants of food and water sources, have emerged as a significant global food safety issue. Thus, the advancement of rapid, sensitive, and precise methods for detecting foodborne pathogens is of paramount importance for effective food safety monitoring. In response to this critical need, we have successfully prepared a flexible PMMA-BP@MoS2-based surface-enhanced Raman scattering (SERS) substrate through a two-step strategy involving hydrothermal synthesis and spin coating. This novel substrate enables label-free and highly sensitive detection of foodborne pathogens. The synergistic chemical enhancement effect of BP@MoS2 on target molecules, coupled with the highly efficient molecular enrichment capability endowed by PMMA integration, endows the proposed binary substrate with remarkable SERS enhancement properties and stability. These characteristics significantly reduce the detection limit of model molecules to as low as 6.67 × 10−7 M. Furthermore, trace levels of Escherichia coli in raw meat samples were effectively detected using the PMMA-BP@MoS2 flexible substrate, achieving a wide linear detection range from 6.46 × 104 to 6.46 × 108 CFU mL−1. The flexible PMMA-BP@MoS2 SERS substrate emerged as a promising solution for nondestructive and highly sensitive bacterial detection, paving the way for clinical diagnostics of diseases caused by foodborne pathogens and offering a valuable tool to address food safety challenges.

Graphical abstract: Label-free SERS detection of foodborne pathogens based on a flexible PMMA-BP@MoS2 binary substrate

Supplementary files

Article information

Article type
Paper
Submitted
24 Apr 2025
Accepted
30 May 2025
First published
17 Jun 2025

Analyst, 2025, Advance Article

Label-free SERS detection of foodborne pathogens based on a flexible PMMA-BP@MoS2 binary substrate

X. Liu, S. Fu, J. Zhao, C. Gu, D. Yang and T. Jiang, Analyst, 2025, Advance Article , DOI: 10.1039/D5AN00454C

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