A Mass Spectrometry-Machine Learning Approach for Detecting Volatile Organic Compound Emissions for Early Fire Detection

[Image: see text] Mass spectrometry in parallel with real-time machine learning techniques were paired in a novel application to detect and identify chemically specific, early indicators of fires and near-fire events involving a set of selected materials: Mylar, Teflon, and poly(methyl methacrylate)...

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Detalles Bibliográficos
Autores principales: Kingsley, Sarah, Xu, Zhaoyi, Jones, Brant, Saleh, Joseph, Orlando, Thomas M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161216/
https://www.ncbi.nlm.nih.gov/pubmed/37079759
http://dx.doi.org/10.1021/jasms.2c00304

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161216/
https://www.ncbi.nlm.nih.gov/pubmed/37079759
http://dx.doi.org/10.1021/jasms.2c00304

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