BMC Microbiology (Aug 2023)

Evaluation of the Autof ms1000 mass spectrometry for rapid clinical identification of filamentous fungi

  • Keping Ao,
  • Xiaohan Li,
  • Weili Zhang,
  • Zhixing Chen,
  • Ya Liu,
  • Ling Shu,
  • Yuling Xiao,
  • Siying Wu,
  • Yi Xie,
  • Mei Kang

DOI
https://doi.org/10.1186/s12866-023-02968-w
Journal volume & issue
Vol. 23, no. 1
pp. 1 – 6

Abstract

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Abstract Background Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has revolutionized microbial identification. However, there is a lack of data on its performance in identifying filamentous fungi. The objective of our study was to evaluate the accuracy of the Autof ms1000 mass spectrometry for identifying filamentous fungi in the clinical microbiology laboratory. Results Among 106 samples tested using the Autof ms1000 system, 101 (95.28%) were identified at the genus or species level, and 81 (76.41%) were accurately identified at the species level. Additionally, we developed a new rapid formic acid extraction method with simple pretreatment for filamentous fungi that saved time and provided accurate results. Conclusions The Autof ms1000 mass spectrometer proved to be a valuable tool for identifying filamentous fungi. However, upgrading the database is recommended for correctly identifying rare strains.

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