Label-free SERS detection of foodborne pathogens based on a flexible PMMA-BP@MoS<sub>2</sub> binary substrate
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@MoS<sub>2</sub>-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@MoS<sub>2</sub> 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<sup>-7</sup> M. Furthermore, trace levels of <i>Escherichia coli</i> in raw meat samples were effectively detected using the PMMA-BP@MoS<sub>2</sub> flexible substrate, achieving a wide linear detection range from 6.46 × 10<sup>4</sup> to 6.46 × 10<sup>8</sup> CFU mL<sup>-1</sup>. The flexible PMMA-BP@MoS<sub>2</sub> 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.
Authors
- Tao Jiang (ORCID: https://orcid.org/0000-0002-2429-3229)
- Danting Yang (ORCID: https://orcid.org/0000-0002-0097-8581)
- Chenjie Gu (ORCID: https://orcid.org/0000-0002-1339-4534)
- Xiaohan Liu (ORCID: https://orcid.org/0000-0001-9987-2260)
- Shijiao Fu (ORCID: https://orcid.org/0009-0005-5857-268X)
- Jialong Zhao (ORCID: https://orcid.org/0009-0008-5969-8198)
Institutions
- Ningbo University (CN)
Publication Details
- Journal
- The Analyst
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5an00454c
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Ningbo University