A novel bioinspired SERS platform for ultrasensitive bacterial detection
Typhimurium ( S. Typhimurium) is one of the greatest global concerns, as it causes zoonotic diseases. Human disease caused by the consumption of raw meat contaminated with S. Typhimurium are a major problem. Surface-enhanced Raman spectroscopy (SERS) has gained much attention as an ultrasensitive detection technique for the early monitoring of bacterial contamination. In this study, we proposed a SERS sandwich sensing method for developing a sensitive SERS bacterial sensor by integrating a signal element of dendritic mesoporous silica nanocarriers (DMSNs) loaded with plasma nanoparticles and SERS tags and an enrichment element of covalent organic frameworks encapsulated with magnetic Fe 3 O 4 nanoparticles with a sensitive magnetic response, which can synergistically increase the quantity and intensity of hotspots. The proposed SERS sandwich sensor demonstrated ultrahigh detection sensitivity (6.5 CFU/mL) and selectivity for S. Typhimurium. The constructed sensor could rapidly and accurately detect the target bacteria in spiked chicken samples. Thus, it provided a new approach and direction for the early detection of bacterial contamination in fresh meat. • A SERS sandwich biosensor was fabricated using DMSN-Au@Ag and MCOF@Au for ultrasensitive bacterial detection. • MCOF@Au@Apt exhibited excellent bacterial recognition and high enrichment efficiency functionality. • The sensor achieved a detection limit of 6.5 CFU/mL for S. typhimurium and exhibited promising application in real samples.
Authors
- Mingyuan Huang (ORCID: https://orcid.org/0000-0002-4241-598X)
- Xiangyu Song
- Huhu Wang (ORCID: https://orcid.org/0000-0003-1688-7948)
- Xinglian Xu (ORCID: https://orcid.org/0000-0003-4507-3214)
- Xuefei Shao (ORCID: https://orcid.org/0000-0002-2863-6401)
Institutions
- Nanjing Agricultural University (CN)
- Anhui University of Science and Technology (CN)
- Anhui Science and Technology University (CN)
Publication Details
- Journal
- LWT
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1016/j.lwt.2025.117838
- Citations
- 2
- Primary Topic
- Biosensors and Analytical Detection
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- Agriculture Research System of China
- Ministry of Agriculture and Rural Affairs of the People's Republic of China
- Priority Academic Program Development of Jiangsu Higher Education Institutions