4.8 Article

Specific and quantitative detection of bacteria based on surface cell imprinted SERS mapping platform

Journal

BIOSENSORS & BIOELECTRONICS
Volume 215, Issue -, Pages -

Publisher

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2022.114524

Keywords

Surface-enhanced Raman scattering (SEAS); Surface cell imprinting; Escherichia coli; Mapping; Specificity

Funding

  1. National Natural Science Foundation of China [21621004, 22178260]
  2. Cooperative Program of Technical Center of Gongbei Customs District of China [2020GKF-0281]

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In this study, a surface cell imprinted SERS mapping platform was developed for specific and quantitative detection of bacteria. The platform exhibited excellent specificity towards Escherichia coli (E. coli) and demonstrated good quantitative ability with a wide linear range and low detection limit. Furthermore, the platform proved to be effective in detecting E. coli in real samples.
Non-specificity and poor quantitative ability are the main challenges in surface-enhanced Raman scattering (SERS) technique, especially for the detection of bacteria in real samples. In this study, we presented a surface cell imprinted SERS mapping platform which is competent for the specific and quantitative detection of bacteria. The platform based on the fabrication of a surface cell imprinted substrate (SCIS) by which Escherichia coli (E. coli) can be captured and labelled by SERS tags which produces strong characteristic signal to indicate the capture of targets. We highlighted the specificity of this platform in the detection of E. coli, by comparing the performances toward Salmonella paratyphoid A, Bacillus subtilis, Enterococcus faecalis and Staphylococcus aureus. Upon integrating with SERS mapping technique, the platform displayed good quantitative ability toward E. coli with a wide linear range from 10(2) to 10(8) CFU/mL and a low detection limit of similar to 1.35 CFU/mL. Moreover, this novel SERS analysis platform was proved to be effective for E. coli detection in real probiotic beverage and chicken breast meat samples. By fabricating different SCISs, this platform can be replicated for the detection of other bacteria, which provides a promising application for real sample testing.

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