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.

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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

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article

A novel bioinspired SERS platform for ultrasensitive bacterial detection

Mingyuan Huang, Xiangyu Song, Huhu Wang, Xinglian Xu et al.
2 citations
LWT
Biosensors and Analytical Detection
1.35
article

A novel bioinspired SERS platform for ultrasensitive bacterial detection

Mingyuan Huang, Xiangyu Song, Huhu Wang, Xinglian Xu, Xuefei Shao
article en
2 citations

Abstract

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.

LWTVol. 224
Nanjing Agricultural University (CN), Anhui University of Science and Technology (CN), Anhui Science and Technology University (CN)
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
Openalex Percentile: Top 21%
Biosensors and Analytical Detection
1.35
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