Recent advances in dual recognition based surface enhanced Raman scattering for pathogenic bacteria detection: A review

Rapid and reliable detection of pathogenic bacteria at the early stage represents a highly topical research area for food safety and public health. Although culture based method is the gold standard method for bacteria detection, recent techniques have promoted the development of alternative methods, such as surface enhanced Raman scattering (SERS). SERS provides additional advantages of high speed, simul-taneous detection and characterization, multiplex analysis, and comparatively low cost. However, con-ventional SERS methods for bacteria detection are facing limitations of low sensitivity, susceptible to matrix interference, and poor accuracy. In recent years, specific detection of pathogenic bacteria with dual recognition based SERS methods has attracted increasing attentions. These methods include two steps recognition of target bacteria, and integrate the functions of target separation and detection. Considering their merits of excellent specificity, ultrahigh sensitivity, multiplex detection capability, and potential for on-site applications, these methods are promising alternatives for rapid and reliable detection of pathogenic bacteria. Herein, this review aims to summarize the recent advances in dual recognition based SERS methods for specific detection of pathogenic bacteria. Their advantages and limitations are discussed, and further perspectives are tentatively given. This review provides new in-sights into the application of SERS as a reliable tool for pathogenic bacteria detection. (c) 2021 Published by Elsevier B.V.

Automated summary

Dual recognition based SERS methods for specific detection of pathogenic bacteria have attracted increasing attention in recent years due to their excellent specificity, ultrahigh sensitivity, multiplex detection capability, and potential for on-site applications. These methods offer promising alternatives for rapid and reliable detection of pathogenic bacteria.