{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T23:29:16Z","timestamp":1790638156881,"version":"4.1.0"},"reference-count":24,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2019,6,17]],"date-time":"2019-06-17T00:00:00Z","timestamp":1560729600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,4,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Aspergillus spp. identification has become more relevant in clinical practice since azole-resistant cryptic species have been related to invasive fungal infections. Conventional morphologic identification is not able to discriminate Aspergillus species, and DNA sequencing is not feasible for clinical laboratories. MALDI-TOF mass spectrometry is an emergent technology that has been explored to provide fast and accurate identification of microorganisms, including clinically relevant moulds. However, only a few studies have explored the platform VITEK MS for the identification of Aspergillus species. Hence, we provided additional data regarding the performance of the VITEK MS system for the identification of Aspergillus species, including azole-resistant ones. We also improved the RUO system by adding additional spectral profiles from well-identified Aspergillus strains belonging to different noncryptic and cryptic species. The IVD library correctly identified 91.6% of the organisms at genus and section level, and 84.7% at species level, including the azole-resistant Aspergillus lentulus and Aspergillus calidoustus. The organisms belonging to Aspergillus cryptic species had only 31.2% of correct species identification. The RUO library plus our in-house SuperSpectra correctly identified 100% of the organisms at genus and section level and 91.6% at species level. Among organisms belonging to Aspergillus cryptic species, 68.7% had correct species identification. Some closely related Aspergillus cryptic species showed similar spectral profiles and were difficult to be differentiated.<\/jats:p>","DOI":"10.1093\/mmy\/myz066","type":"journal-article","created":{"date-parts":[[2019,5,24]],"date-time":"2019-05-24T11:17:31Z","timestamp":1558696651000},"page":"322-327","source":"Crossref","is-referenced-by-count":16,"title":["Evaluating VITEK MS for the identification of clinically relevant Aspergillus species"],"prefix":"10.1093","volume":"58","author":[{"given":"Fernanda","family":"M Am\u00e9rico","sequence":"first","affiliation":[{"name":"Laboratorio de Micologia Medica (LIM 53), Instituto de Medicina Tropical, Universidade de S\u00e3o Paulo, S\u00e3o Paulo, Brazil"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lumena","family":"P Machado Siqueira","sequence":"first","affiliation":[{"name":"Laboratorio de Micologia Medica (LIM 53), Instituto de Medicina Tropical, Universidade de S\u00e3o Paulo, S\u00e3o Paulo, 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