Fiber optic SERS sensors for rapid detection and identification of salmonella in turkey products
This study validates a fiber optics-based surface enhanced Raman spectroscopy (SERS) sensor for detecting Salmonella in raw turkey samples. The sensor uses nanoantenna arrays on a side-polished optical fiber core with a fixed periodicity of 0.77 μm to maximize the SERS signal intensity. A 3D-printed chamber and microstructure optimize light reflection, improving sensitivity. The sensor detects Salmonella at 0.4-0.5 CFU/ml in 10 minutes, offering cost-effective, portable pathogen detection.
Authors
- Azlin Mustapha (ORCID: https://orcid.org/0000-0002-4218-9070)
- Edward C. Kinzel (ORCID: https://orcid.org/0000-0002-4492-8682)
- Kate Trout (ORCID: https://orcid.org/0000-0002-6633-7349)
- Fnu Chenggeer
- Anna V. Carlson
- P. B. Willoughby
- Mahmoud Almasri (ORCID: https://orcid.org/0000-0002-9646-9369)
- Amit Morey (ORCID: https://orcid.org/0000-0003-4726-8322)
- Mai Abuhelwa
- A. Bandara
- Jiayu Liu (ORCID: https://orcid.org/0000-0002-4172-8802)
Institutions
- Cargill (United States) (US)
- University of Missouri (US)
- Auburn University (US)
Publication Details
- Published
- 2025-03-20
- DOI
- https://doi.org/10.1117/12.3050869
- Primary Topic
- Identification and Quantification in Food
- Type
- article
- Field-Weighted Citation Impact
- 0.00