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

J Jonathan Karisa M Mercy Tuwei K Kelly Ominde B Brian Bartilol Z Zedekiah Ondieki H Haron Musani M Martin Rono C Charles Mbogo P Philip Bejon J Joseph Mwangangi C Caroline Wanjiku M Marta Maia

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.

Article Details

Journal PLoS ONE
Volume / Issue Vol. 20, Issue 8
Published August 25, 2025
Pages e0330605
ISSN 1932-6203
Publisher Public Library of Science

Journal Info

PLoS ONE

Public Library of Science

ISSN: 1932-6203 Open Access Health Sciences

Authors (12)

J

Jonathan Karisa

M

Mercy Tuwei

K

Kelly Ominde

B

Brian Bartilol

Z

Zedekiah Ondieki

H

Haron Musani

M

Martin Rono

C

Charles Mbogo

P

Philip Bejon

J

Joseph Mwangangi

C

Caroline Wanjiku

M

Marta Maia