Machine Learning Approaches to Identify Discriminative Signatures of Volatile Organic Compounds (VOCs) from Bacteria and Fungi Using SPME-DART-MS

Point-of-care screening tools are essential to expedite patient care and decrease reliance on slow diagnostic tools (e.g., microbial cultures) to identify pathogens and their associated antibiotic resistance. Analysis of volatile organic compounds (VOC) emitted from biological media has seen increas...

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Detalles Bibliográficos
Autores principales: Arora, Mehak, Zambrzycki, Stephen C., Levy, Joshua M., Esper, Annette, Frediani, Jennifer K., Quave, Cassandra L., Fernández, Facundo M., Kamaleswaran, Rishikesan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8953436/
https://www.ncbi.nlm.nih.gov/pubmed/35323675
http://dx.doi.org/10.3390/metabo12030232

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8953436/
https://www.ncbi.nlm.nih.gov/pubmed/35323675
http://dx.doi.org/10.3390/metabo12030232

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