4.6 Review

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

Journal

FRONTIERS IN MICROBIOLOGY
Volume 12, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fmicb.2021.683580

Keywords

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

Categories

Funding

  1. National Natural Science Foundation of China [31900022, 81871734, 81471994]
  2. Natural Science Foundation of Jiangsu Province [BK20180997]
  3. Young Science and Technology Innovation Team of Xuzhou Medical University [TD202001]
  4. Jiang-Su Qing-Lan Project (2020)
  5. Key R&D Program of Jiangsu Province [BE2020646]
  6. Jiangsu Provincial Medical Talent [ZDRCA2016053]
  7. Six Talent Peaks Project of Jiangsu Province [WSN-135]
  8. Advanced Health Talent of Six-one Project of Jiangsu Province [LGY2016042]
  9. Research Foundation for Advanced Talents of Guangdong Provincial People's Hospital [KJ012021097]

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The rapid identification of bacterial pathogens and profiling of antibiotic resistance are crucial for precise treatment of infectious diseases. Various accurate, reliable, and time-efficient conventional and molecular methods have been developed for in vitro diagnostics.
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.

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