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

Area of Science:

• Analytical Chemistry
• Biotechnology
• Spectroscopy

Background:

• Surface-enhanced Raman scattering (SERS) faces challenges in specificity and quantification, particularly for bacterial detection in complex matrices.
• Existing SERS methods often lack the precision required for reliable bacterial identification and enumeration in real-world samples.

Purpose of the Study:

• To develop a SERS mapping platform capable of specific and quantitative bacterial detection.
• To address the limitations of non-specificity and poor quantitative ability in conventional SERS techniques for bacterial analysis.

Main Methods:

• Fabrication of a surface cell imprinted substrate (SCIS) for selective capture of target bacteria, such as Escherichia coli (E. coli).
• Utilizing SERS tags for signal generation upon target capture, enabling sensitive detection.
• Integration with SERS mapping for spatial and quantitative analysis.

Main Results:

• Demonstrated high specificity for E. coli detection against other bacterial species like Salmonella paratyphoid A, Bacillus subtilis, Enterococcus faecalis, and Staphylococcus aureus.
• Achieved excellent quantitative ability for E. coli with a broad linear range (10^2 to 10^8 CFU/mL) and a low detection limit of approximately 1.35 CFU/mL.
• Successfully applied the platform for E. coli detection in real samples, including probiotic beverages and chicken breast meat.

Conclusions:

• The developed surface cell imprinted SERS mapping platform offers specific and quantitative bacterial detection capabilities.
• This approach overcomes major SERS limitations and shows significant promise for bacterial analysis in diverse real-world samples.
• The platform's modular design allows for adaptation to detect other bacterial species, broadening its applicability.