Develops an informatics tool for microbial identification, suggesting improved diagnostic interoperability.
MALDI-TOF mass spectrometry has revolutionized microbial identification in the clinical microbiology laboratory. However, barriers in the analysis of mass spectra with databases different from the proprietary prevent this technology from achieving its full potential. The goal of this study was to develop an informatics tool capable of converting peak lists obtained from MALDI-TOF mass spectra to an XML compatible with open data bases, such as MicrobeNet. This innovation makes it possible to overcome limitations in interoperability between commercial platforms, allowing for the optimization and decentralization of microbial identification. A set of mass spectra acquired with MALDI Biotyper and VITEK MS were analyzed, showing high concordance between the converter approach and the standard workflow (MALDI Biotyper: 96.4% (95% CI: 89.4–99.4%) VITEK MS: 87.4% (95% CI: 83.0–91.1%)). This converter promises to become a cost-effective alternative to broaden the clinical microbiology laboratory's diagnostic capacity.
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Cassanelli et al. (2026) studied this question.
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