2601002875
  • Open Access
  • Article

Identification of Aspergillus Species by Matrix-Assisted Laser Desorption Ionisation–Time-of-Flight Mass Spectrometry

  • Chi-Ching Tsang 1,2,†,   
  • Walton Chan 2,†,   
  • James Y. M. Tang 2,   
  • Oscar H. Y. Chim 2,   
  • Yee-Wing Li 2,3,   
  • Teresa W. S. Hui 2,4,   
  • Tianrenzheng Zhu 2,5,   
  • Carl W. H. Leung 2,   
  • Caleb Lo 2,   
  • Chunyan Yao 2,6,   
  • Ying-Nam To 2,4,   
  • Antonio H. Y. Ngan 2,   
  • Jonathan H. K. Chen 2,   
  • Haiyan Ye 7,   
  • Fanfan Xing 7,   
  • Simon K. F. Lo 7,   
  • Chenlu Xiao 2,8,9,   
  • Lizhong Han 8,9,   
  • Dorothy M. W. Tam 3,   
  • Christopher K. C. Lai 10,   
  • Alan K. L. Wu 11,   
  • Tak-Lun Que 4,   
  • Susanna K. P. Lau 2,*,   
  • Patrick C.Y. Woo 2,12,13,*

Received: 21 Nov 2025 | Revised: 16 Jan 2026 | Accepted: 20 Jan 2026 | Published: 01 Apr 2026

Abstract

Matrix-assisted laser desorption/ionisation–time-of-flight mass spectrometry (MALDI–TOF MS) has already been used routinely in clinical laboratories for rapid bacterial and yeast identification. However, its routine use for Aspergillus identification is still controversial because of a lack of unification of the culture method and a suboptimal database. In this study, we first examined the difference in using broth and agar plate cultures for growing the aspergilli before protein extraction and found that agar culture was much superior to broth culture in generating interpretable protein mass spectra. Then, based on the solid culture method, we examined the accuracy, with benA and/or CaM sequencing as the identification gold standard, in using MALDI–TOF MS for Aspergillus identification. Overall, the original Bruker Library could only identify 38.2% and 22.8% of the strains characterised at the genus/section and species level, respectively. When the Bruker Library was expanded with reference mass spectra generated from reference Aspergillus species in-house, the identification rates were improved to 61.0% and 48.0%, respectively. The MSI database, freely available online, outperformed the former two libraries for Aspergillus identification at all levels (genus: 95.1%, section: 92.7%, species: 74.8%). Agar plate culture and the MSI database should be used for MALDI–TOF MS identification of aspergilli in clinical laboratories. 

References 

  • 1.

    Vallabhaneni, S.; Benedict, K.; Derado, G.; et al. Trends in hospitalizations related to invasive aspergillosis and mucormycosis in the United States, 2000–2013. Open Forum Infect. Dis. 2017, 4, ofw268.

  • 2.

    Tarka, P.; Nitsch-Osuch, A.; Gorynski, P.; et al. Epidemiology of pulmonary aspergillosis in hospitalized patients in Poland during 2009–2016. In Advances in Pulmonary Medicine: Research and Innovations; Pokorski, M., Ed.; Springer Nature: Cham, Switzerland, 2019; pp 73–80.

  • 3.

    Latgé, J.-P.; Chamilos, G. Aspergillus fumigatus and aspergillosis in 2019. Clin. Microbiol. Rev. 2019, 33, e00140-18.

  • 4.

    Koehler, P.; Bassetti, M.; Kochanek, M.; et al. Intensive care management of influenza-associated pulmonary aspergillosis. Clin. Microbiol. Infect. 2019, 25, 1501–1509.

  • 5.

    Sugui, J.A.; Kwon-Chung, K.J.; Juvvadi, P.R.; et al. Aspergillus fumigatus and related species. Cold Spring Harb. Perspect. Med. 2015, 5, a019786.

  • 6.

    Tam, E.W.T.; Chen, J.H.K.; Lau, E.C.L.; et al. Misidentification of Aspergillus nomius and Aspergillus tamarii as Aspergillus flavus: Characterization by internal transcribed spacer, β-tubulin, and calmodulin gene sequencing, metabolic fingerprinting, and matrix-assisted laser desorption ionization–time of flight mass spectrometry. J. Clin. Microbiol. 2014, 52, 1153–1160.

  • 7.

    Tsang, C.-C.; Hui, T.W.S.; Lee, K.-C.; et al. Genetic diversity of Aspergillus species isolated from onychomycosis and Aspergillus hongkongensis sp. nov., with implications to antifungal susceptibility testing. Diagn. Microbiol. Infect. Dis. 2016, 84, 125–134.

  • 8.

    Tsang, C.-C.; Tang, J.Y.M.; Ye, H.; et al. Emergence of cryptic Aspergillus species infections and importance of antifungal susceptibility testing. Mycoses 2020, 63, 1283–1298.

  • 9.

    Lee, Z.J.; Tsang, C.C.; Wang, C.S.; et al. Differential knowledge of free and subscribed chatbots on Aspergillus fumigatus, a mold of global importance, and Talaromyces marneffei, a thermally dimorphic fungus associated with tropical infections in Southeast Asia. eMicrobe 2025, 1, 3.

  • 10.

    Tsang, C.C.; Zhao, C.; Liu, Y.; et al. Automatic identification of clinically important Aspergillus species by artificial intelligence-based image recognition: proof-of-concept study. Emerg. Microbes Infect. 2025, 14, 2434573.

  • 11.

    Normand, A.C.; Becker, P.; Gabriel, F.; et al. Validation of a new web application for identification of fungi by use of matrix-assisted laser desorption ionization–time of flight mass spectrometry. J. Clin. Microbiol. 2017, 55, 2661–2670.

  • 12.

    Imbert, S.; Normand, A.C.; Gabriel, F.; et al. Multi-centric evaluation of the online MSI platform for the identification of cryptic and rare species of Aspergillus by MALDI–TOF. Med. Mycol. 2019, 57, 962–968.

  • 13.

    Houbraken, J.; Kocsubé, S.; Visagie, C.M.; et al. Classification of Aspergillus, Penicillium, Talaromyces and related genera (Eurotiales): An overview of families, genera, subgenera, sections, series and species. Stud. Mycol. 2020, 95, 5–169.

  • 14.

    Woo, P.C.Y.; Ngan, A.H.Y.; Tsang, C.C.C.; et al. Clinical spectrum of Exophiala infections and a novel Exophiala species, Exophiala hongkongensis. J. Clin. Microbiol. 2013, 51, 260–267.

  • 15.

    Glass, N.L.; Donaldson, G.C. Development of primer sets designed for use with the PCR to amplify conserved genes from filamentous ascomycetes. Appl. Environ. Microbiol. 1995, 61, 1323–1330.

  • 16.

    Peterson, S.W. Phylogenetic analysis of Aspergillus species using DNA sequences from four loci. Mycologia 2008, 100, 205–226.

  • 17.

    Altschul, S.F.; Gish, W.; Miller, W.; et al. Basic local alignment search tool. J. Mol. Biol. 1990, 215, 403–410.

  • 18.

    Borman, A.M.; Fraser, M.; Szekely, A.; et al. Rapid and robust identification of clinical isolates of Talaromyces marneffei based on MALDI–TOF mass spectrometry or dimorphism in Galleria mellonella. Med. Mycol. 2019, 57, 969–975.

  • 19.

    Bruker Corporation. MBT Filamentous Fungi Library (1867577); Bruker Corporation: Bremen, Germany, 2019.

  • 20.

    Cassagne, C.; Ranque, S.; Normand, A.C.; et al. Mould routine identification in the clinical laboratory by matrix-assisted laser desorption ionization time-of-flight mass spectrometry. PLoS ONE 2011, 6, e28425.

  • 21.

    Reeve, M.A.; Bachmann, D. A method for filamentous fungal growth and sample preparation aimed at more consistent MALDI–TOF MS spectra despite variations in growth rates and/or incubation times. Biol. Methods Protoc. 2019, 4, bpz003.

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How to Cite
Tsang, C.-C.; Chan, W.; Tang, J. Y. M.; Chim, O. H. Y.; Li, Y.-W.; Hui, T. W. S.; Zhu, T.; Leung, C. W. H.; Lo, C.; Yao, C.; To, Y.-N.; Ngan, A. H. Y.; Chen, J. H. K.; Ye, H.; Xing, F.; Lo, S. K. F.; Xiao, C.; Han, L.; Tam, D. M. W.; Lai, C. K. C.; Wu, A. K. L.; Que, T.-L.; Lau, S. K. P.; Woo, P. C. Y. Identification of Aspergillus Species by Matrix-Assisted Laser Desorption Ionisation–Time-of-Flight Mass Spectrometry. eMicrobe 2026, 2 (2), 8. https://doi.org/10.53941/emicrobe.2026.100008.
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