Research Keyword: time-of-flight mass spectrometry

Identification of Challenging Dermatophyte Species Using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry

This study shows that a specialized technique called MALDI-TOF mass spectrometry can quickly and accurately identify skin fungal infections caused by dermatophytes. By creating a library of local fungal strains from Taiwan and combining it with commercial databases, researchers achieved over 90% accuracy in identifying different dermatophyte species. This practical method could help doctors diagnose fungal infections faster and choose better treatments.

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Identification of Challenging Dermatophyte Species Using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry

This study shows how MALDI-TOF mass spectrometry, a rapid laboratory technique, can accurately identify different types of dermatophyte fungi that cause ringworm and other skin infections. By creating a customized reference library combining commercial and locally-collected fungal samples, researchers improved identification accuracy from 16% to 91%. This advancement helps doctors identify the specific fungus causing a skin infection more quickly and accurately, enabling better treatment decisions.

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Performance of the VITEK® MS system for the identification of filamentous fungi in a microbiological laboratory in Chile

Researchers tested a fast machine called VITEK® MS for identifying dangerous mold infections in patients. The machine correctly identified over 91% of fungal samples, which is much better than waiting weeks for traditional laboratory methods. This technology could help doctors start treatment much faster for patients with serious mold infections, potentially saving lives.

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Identification of Challenging Dermatophyte Species Using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry

This study shows that MALDI-TOF mass spectrometry is an effective method for quickly identifying skin fungal infections caused by dermatophytes. By combining commercial reference databases with a custom library created from local isolates, researchers achieved 90.7% accurate identification compared to only 16.1% using the commercial database alone. This improved method could help doctors diagnose and treat fungal skin infections more quickly and accurately in clinical laboratories.

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Identification of Challenging Dermatophyte Species Using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry

This study shows that a specialized technique called MALDI-TOF mass spectrometry can accurately identify fungal skin infections by analyzing protein patterns. Researchers created a customized library of local fungal species that, when combined with commercial databases, improved identification accuracy from 16% to 91%. This advancement helps doctors quickly identify the exact type of fungal infection patients have, enabling faster and more appropriate treatment decisions.

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