Search papers, labs, and topics across Lattice.
This review article discusses the application of surface-enhanced Raman spectroscopy (SERS) for rapid and accurate pathogen identification and antimicrobial resistance (AMR) analysis in infectious diseases. It explores the use of SERS in detecting bacteria, viruses, and fungi, and its integration with nanotechnology, microfluidics, and deep learning. The review also addresses the challenges and future prospects of translating SERS into clinical diagnostics.
SERS technology holds promise for rapid and accurate detection of pathogens and antimicrobial resistance, potentially improving the timely control and treatment of infectious diseases.
: Infectious diseases caused by pathogenic bacteria remain a major challenge for global public health. Rapid and accurate pathogen identification, as well as antimicrobial resistance (AMR) analysis, are crucial for the timely control and treatment of infectious diseases. Surface-enhanced Raman spectroscopy (SERS) is an analytical technique that combines Raman spectroscopy with the localized surface plasmon resonance (LSPR) effect of nanomaterials, featuring rapidity, non-destructiveness, high sensitivity, and specificity. This demonstrates significant potential for the diagnosis and treatment of infectious diseases. This article primarily expounds on the application of SERS in the detection of bacteria, viruses, fungi, and AMR; explores the use of multi-modal innovative technologies integrating SERS with nanotechnology, microfluidics, and deep learning in pathogen identification and AMR analysis; and discusses the challenges and prospects for clinical translation of SERS.
