A SERS-machine learning quantitative detection platform for Pseudomonas aeruginosa based on AuNRs-MBA@Ag-MBA-van SERS tag and SPION-PEI-AuNPs-apt magnetic beads

Key Points

• The platform effectively detects Pseudomonas aeruginosa, demonstrating a high sensitivity and precision in diagnostic use.
• Key evidence shows a significant increase in detection accuracy when combined with machine learning algorithms, achieving 95% accuracy.
• This analysis utilized a surface-enhanced Raman scattering approach, along with gold and magnetic nanoparticles for improved detection.
• The findings may advance the speed and reliability of pathogen detection, enhancing both clinical and research applications.