Making MALDI-TOF MS for entomological parameters accessible: A practical guide for in-house library creation

Matrix-assisted laser desorption-ionisation time of flight mass spectrometry (MALDI-TOF MS) is a powerful analytical method that has been used extensively to identify sample ions of complex mixtures, and biological samples such as proteins, tissues and microorganisms. MALDI-TOF MS has revolutionised clinical microbiology with accurate, rapid, and inexpensive species-level identification of microbes. MALDI-TOF MS technology generates spectral signatures and matches them to a library of similar organisms using bioinformatics pattern matching. The use of MALDI-TOF MS for entomological samples has been explored by multiple groups with proven efficacy at differentiating between closely related species, as well as detecting pathogens in different vectors. The low cost per sample processing, rapid turnaround and robustness are attractive for surveillance of vector control programs. Libraries are built in-house for institutional usage, although a multi-user platform with sharing of spectra and data would be attractive. Only a few studies have strived to make their libraries publicly available. Here, we outline a stepwise approach for creating an in-house MALDI-TOF MS library and subsequent query, using malaria vector species identification as a case study for entomological samples. A protocol and video of the methodology are also shared. Moreover, the libraries related to this publication have been deposited in public repository (https://doi.org/10.7910/DVN/VYQFNO37) for anyone with MALDI-TOF MS equipment to adapt.

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Journal
PLoS ONE
Published
2025-08-25
DOI
https://doi.org/10.1371/journal.pone.0330605
Primary Topic
Bacterial Identification and Susceptibility Testing
Type
article
Field-Weighted Citation Impact
0.00

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article

Making MALDI-TOF MS for entomological parameters accessible: A practical guide for in-house library creation

Philip Bejon, Brian Bartilol, Haron Musani, Charles Mbogo et al.
PLoS ONE
Bacterial Identification and Susceptibility Testing
article

Making MALDI-TOF MS for entomological parameters accessible: A practical guide for in-house library creation

Philip Bejon, Brian Bartilol, Haron Musani, Charles Mbogo, Kelly Ominde, Martin Kibet Rono, Zedekiah Ondieki, Jonathan Karisa, Caroline Wanjiku, Joseph Mwangangi, Marta F. Maia, Mercy Tuwei
article en

Abstract

Matrix-assisted laser desorption-ionisation time of flight mass spectrometry (MALDI-TOF MS) is a powerful analytical method that has been used extensively to identify sample ions of complex mixtures, and biological samples such as proteins, tissues and microorganisms. MALDI-TOF MS has revolutionised clinical microbiology with accurate, rapid, and inexpensive species-level identification of microbes. MALDI-TOF MS technology generates spectral signatures and matches them to a library of similar organisms using bioinformatics pattern matching. The use of MALDI-TOF MS for entomological samples has been explored by multiple groups with proven efficacy at differentiating between closely related species, as well as detecting pathogens in different vectors. The low cost per sample processing, rapid turnaround and robustness are attractive for surveillance of vector control programs. Libraries are built in-house for institutional usage, although a multi-user platform with sharing of spectra and data would be attractive. Only a few studies have strived to make their libraries publicly available. Here, we outline a stepwise approach for creating an in-house MALDI-TOF MS library and subsequent query, using malaria vector species identification as a case study for entomological samples. A protocol and video of the methodology are also shared. Moreover, the libraries related to this publication have been deposited in public repository (https://doi.org/10.7910/DVN/VYQFNO37) for anyone with MALDI-TOF MS equipment to adapt.

PLoS ONEVol. 20(8)
Pwani University (KE), Angkor Hospital for Children (KH), Kenya Medical Research Institute (KE)
Bill and Melinda Gates Foundation
Openalex Percentile: Top 75%
Bacterial Identification and Susceptibility Testing
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