Charged aerosol detector response modeling for fatty acids based on experimental settings and molecular features: a machine learning approach

The charged aerosol detector (CAD) is the latest representative of aerosol-based detectors that generate a response independent of the analytes’ chemical structure. This study was aimed at accurately predicting the CAD response of homologous fatty acids under varying experimental conditions. Fatty a...

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Detalles Bibliográficos
Autores principales: Pawellek, Ruben, Krmar, Jovana, Leistner, Adrian, Djajić, Nevena, Otašević, Biljana, Protić, Ana, Holzgrabe, Ulrike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8281619/
https://www.ncbi.nlm.nih.gov/pubmed/34266497
http://dx.doi.org/10.1186/s13321-021-00532-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8281619/
https://www.ncbi.nlm.nih.gov/pubmed/34266497
http://dx.doi.org/10.1186/s13321-021-00532-0

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