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Applications of Raman Spectroscopy in Bacterial Infections: Principles, Advantages, and Shortcomings

  • Liang Wang*
  • , Wei Liu
  • , Jia Wei Tang
  • , Jun Jiao Wang
  • , Qing Hua Liu
  • , Peng Bo Wen
  • , Meng Meng Wang
  • , Ya Cheng Pan
  • , Bing Gu*
  • , Xiao Zhang*
  • *Corresponding author for this work
  • CAS - Institut Pasteur of Shanghai
  • Xuzhou Medical University
  • Macau University of Science and Technology
  • Division of Thoracic Surgery

Research output: Contribution to journalReview articlepeer-review

Abstract

Infectious diseases caused by bacterial pathogens are important public issues. In addition, due to the overuse of antibiotics, many multidrug-resistant bacterial pathogens have been widely encountered in clinical settings. Thus, the fast identification of bacteria pathogens and profiling of antibiotic resistance could greatly facilitate the precise treatment strategy of infectious diseases. So far, many conventional and molecular methods, both manual or automatized, have been developed for in vitro diagnostics, which have been proven to be accurate, reliable, and time efficient. Although Raman spectroscopy (RS) is an established technique in various fields such as geochemistry and material science, it is still considered as an emerging tool in research and diagnosis of infectious diseases. Based on current studies, it is too early to claim that RS may provide practical guidelines for microbiologists and clinicians because there is still a gap between basic research and clinical implementation. However, due to the promising prospects of label-free detection and noninvasive identification of bacterial infections and antibiotic resistance in several single steps, it is necessary to have an overview of the technique in terms of its strong points and shortcomings. Thus, in this review, we went through recent studies of RS in the field of infectious diseases, highlighting the application potentials of the technique and also current challenges that prevent its real-world applications.

Original languageEnglish
Article number683580
JournalFrontiers in Microbiology
Volume12
DOIs
StatePublished - 19 Jul 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Raman spectroscopy
  • antibiotic resistance
  • bacterial pathogen
  • infectious disease
  • machine learning

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