Rapid Detection of Foodborne Pathogenic Bacteria in Beef Using Surface-Enhanced Raman Spectroscopy

Area of Science:

• Food safety
• Analytical chemistry
• Spectroscopy

Background:

• Foodborne pathogenic bacteria in meat present significant public health risks.
• Traditional detection methods are often slow and require extensive laboratory work.
• Rapid and portable detection is crucial for effective food safety monitoring.

Purpose of the Study:

• To develop and validate a rapid detection method for common foodborne pathogens in beef.
• To utilize surface-enhanced Raman scattering (SERS) with portable Raman spectroscopy for enhanced sensitivity and speed.
• To establish the limit of detection and accuracy for identifying specific bacteria in meat samples.

Main Methods:

• Application of SERS using silver nanoparticles (AgNPs) as substrates.
• Identification and analysis of four key pathogenic bacteria: Escherichia coli (E. coli) O157:H7, Salmonella typhimurium (S. typhimurium), Staphylococcus aureus (S. aureus), and Listeria monocytogenes (L. monocytogenes).
• Optimization of AgNP detection conditions and use of Linear Discriminant Analysis (LDA) for spectral data analysis.

Main Results:

• Achieved low limits of detection (LOD) for pathogenic bacteria in beef samples, ranging from 4-23 CFU/mL.
• Demonstrated high detection accuracy between 91.7% and 97.3% using LDA.
• Successfully identified and analyzed the target bacteria in both pure cultures and complex beef matrices.

Conclusions:

• SERS combined with portable Raman spectroscopy offers a rapid, sensitive, and convenient method for detecting pathogenic bacteria in beef.
• This approach overcomes the limitations of traditional methods, enabling potential on-site food safety monitoring.
• Further research is recommended to broaden the scope of detectable pathogens and enhance model robustness for diverse meat samples.