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Rapid and robust MALDI-TOF MS techniques for microbial identification: a brief overview of their diverse applications

Overview of attention for article published in Journal of Microbiology, February 2018
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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Title
Rapid and robust MALDI-TOF MS techniques for microbial identification: a brief overview of their diverse applications
Published in
Journal of Microbiology, February 2018
DOI 10.1007/s12275-018-7457-0
Pubmed ID
Authors

Kyoung-Soon Jang, Young Hwan Kim

Abstract

Advances in mass spectrometry have enabled the investigation of various biological systems by directly analyzing diverse sets of biomolecules (i.e., proteins, lipids, and carbohydrates), thus making a significant impact on the life sciences field. Over the past decade, matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been widely utilized as a rapid and reliable method for the identification of microorganisms. MALDI-TOF MS has come into widespread use despite its relatively low resolving power (full width at half maximum, FWHM: < 5,000) and its incompatibility with tandem MS analysis, features with which other high-resolution mass spectrometers are equipped. Microbial identification is achieved by searching databases containing mass spectra of peptides and proteins extracted from microorganisms of interest, using scoring algorithms to match analyzed spectra with reference spectra. In this paper, we give a brief overview of the diverse applications of rapid and robust MALDI-TOF MS-based techniques for microbial identification in a variety of fields, such as clinical diagnosis and environmental and food monitoring. We also describe the fundamental principles of MALDI-TOF MS. The general specifications of the two major MS-based microbial identification systems available in the global market (BioTyper? and VITEK? MS Plus) and the distribution of these instruments in Republic of Korea are also discussed. The current review provides an understanding of this emerging microbial identification and classification technology and will help bacteriologists and cell biologists take advantage of this powerful technique.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 218 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 218 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 33 15%
Student > Master 25 11%
Student > Ph. D. Student 24 11%
Researcher 23 11%
Student > Doctoral Student 11 5%
Other 32 15%
Unknown 70 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 39 18%
Chemistry 22 10%
Immunology and Microbiology 20 9%
Agricultural and Biological Sciences 17 8%
Medicine and Dentistry 14 6%
Other 30 14%
Unknown 76 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 October 2022.
All research outputs
#6,408,242
of 23,975,976 outputs
Outputs from Journal of Microbiology
#124
of 842 outputs
Outputs of similar age
#107,914
of 333,850 outputs
Outputs of similar age from Journal of Microbiology
#7
of 16 outputs
Altmetric has tracked 23,975,976 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 842 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 333,850 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.