AI Article Synopsis

  • This review highlights recent advancements in surface-enhanced Raman scattering (SERS)-based lateral flow assay (LFA) platforms, which are crucial for diagnosing infectious diseases like COVID-19.
  • SERS technology offers high sensitivity and the ability to detect multiple targets simultaneously, while LFA provides an easy-to-use format, making their combination a promising diagnostic tool.
  • The review also addresses the current applications for detecting SARS-CoV-2 and discusses challenges that must be overcome to move these innovative assays from research settings to clinical use.

Article Abstract

This review reports the recent advances in surface-enhanced Raman scattering (SERS)-based lateral flow assay (LFA) platforms for the diagnosis of infectious diseases. As observed through the recent infection outbreaks of COVID-19 worldwide, a timely diagnosis of the disease is critical for preventing the spread of a disease and to ensure epidemic preparedness. In this regard, an innovative point-of-care diagnostic method is essential. Recently, SERS-based assay platforms have received increasing attention in medical communities owing to their high sensitivity and multiplex detection capability. In contrast, LFAs provide a user-friendly and easily accessible sensing platform. Thus, the combination of LFAs with a SERS detection system provides a new diagnostic modality for accurate and rapid diagnoses of infectious diseases. In this context, we briefly discuss the recent application of LFA platforms for the POC diagnosis of SARS-CoV-2. Thereafter, we focus on the recent advances in SERS-based LFA platforms for the early diagnosis of infectious diseases and their applicability for the rapid diagnosis of SARS-CoV-2. Finally, the key issues that need to be addressed to accelerate the clinical translation of SERS-based LFA platforms from the research laboratory to the bedside are discussed.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759493PMC
http://dx.doi.org/10.1016/j.snb.2020.129214DOI Listing

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