A novel surface-enhanced Raman based molecular identification platform for multiplexed and highly accurate clinical diagnosis of viral diseases

Abstract

During the infection process, the interactions among respiratory viruses impact the dynamics of transmission and clinical outcomes. Therefore, efficient molecular detection methods provide a basis for rational drug use and effective health management. Surface-enhanced Raman scattering (SERS) is an ultra-sensitive spectroscopic technique capable of generating extremely narrow spectra (∼1–2 cm⁻¹), enabling simultaneous detection of multiple targets. By judiciously designing plasmonic nanostructures as SERS substrates, Raman signals can be amplified by several orders of magnitude (∼10⁵–10¹⁵), facilitating the detection of trace biomolecules. In this highlight, we highlight the work about a novel SERS platform for the high-precision multi-virus molecular identification. This may offer a highly sensitive, specific, and accurate method for the detection of multiple viruses.