Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Detection of Fungi and Oomycetes by Volatiles Using E-Nose and SPME-GC/MS Platforms
por: Loulier, Jérémie, et al.
Publicado: (2020) -
Antimicrobial Activity of Diffusible and Volatile Metabolites Emitted by Beauveria bassiana: Chemical Profile of Volatile Organic Compounds (VOCs) Using SPME-GC/MS Analysis
por: Camele, Ippolito, et al.
Publicado: (2023) -
Determination of Volatile Organic Compounds (VOCs) from Wrapping Films and Wrapped PDO Italian Cheeses by Using HS-SPME and GC/MS
por: Panseri, Sara, et al.
Publicado: (2014) -
A comparison of sample preparation methods for extracting volatile organic compounds (VOCs) from equine faeces using HS-SPME
por: Hough, Rachael, et al.
Publicado: (2018) -
Method for the analysis of volatile compounds in virgin olive oil by SPME-GC-MS or SPME-GC-FID()()
por: Aparicio-Ruiz, Ramón, et al.
Publicado: (2022)