MALDI-TOF Mass Spectroscopy Applications in Clinical Microbiology - PubMed (original) (raw)

Review

. 2021 May 7:2021:9928238.

doi: 10.1155/2021/9928238. eCollection 2021.

Affiliations

• PMID: 34041492
• PMCID: PMC8121603
• DOI: 10.1155/2021/9928238

Review

MALDI-TOF Mass Spectroscopy Applications in Clinical Microbiology

Maryam Alizadeh et al. Adv Pharmacol Pharm Sci. 2021.

Abstract

There is a range of proteomics methods to spot and analyze bacterial protein contents such as liquid chromatography-mass spectrometry (LC-MS), two-dimensional gel electrophoresis, and matrix-assisted laser desorption/ionization mass spectrometry (MALDI-TOF MS), which give comprehensive information about the microorganisms that may be helpful within the diagnosis and coverings of infections. Microorganism identification by mass spectrometry is predicted on identifying a characteristic spectrum of every species so matched with an outsized database within the instrument. MALDI-TOF MS is one of the diagnostic methods, which is a straightforward, quick, and precise technique, and is employed in microbial diagnostic laboratories these days and may replace other diagnostic methods. This method identifies various microorganisms such as bacteria, fungi, parasites, and viruses, which supply comprehensive information. One of the MALDI-TOF MS's crucial applications is bacteriology, which helps identify bacterial species, identify toxins, and study bacterial antibiotic resistance. By knowing these cases, we will act more effectively against bacterial infections.

Copyright © 2021 Maryam Alizadeh et al.

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Conflict of interest statement

The authors declare that they have no conflicts of interest.

Figures

Figure 1

MALDI-TOF MS that includes an ion source to generate ions from the sample, one or more mass analyzers to separate ions based on mass-to-charge ratio, a detector to record the number of ions removed from the analyzer, and a computer to process data and create spectrum and control the device through the feedback, which can use these data to get comprehensive information about the microorganisms.

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