Selective Detection of Target Volatile Organic Compounds in Contaminated Air Using Sensor Array with Machine Learning: Aging Notes and Mold Smells in Simulated Automobile Interior Contaminant Gases

We investigated the selective detection of target volatile organic compounds (VOCs) which are age-related body odors (namely, 2-nonenal, pelargonic acid, and diacetyl) and a fungal odor (namely, acetic acid) in the presence of interference VOCs from car interiors (namely, n-decane, and butyl acetate...

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Detalles Bibliográficos
Autores principales: Itoh, Toshio, Koyama, Yutaro, Shin, Woosuck, Akamatsu, Takafumi, Tsuruta, Akihiro, Masuda, Yoshitake, Uchiyama, Kazuhisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248965/
https://www.ncbi.nlm.nih.gov/pubmed/32397213
http://dx.doi.org/10.3390/s20092687

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248965/
https://www.ncbi.nlm.nih.gov/pubmed/32397213
http://dx.doi.org/10.3390/s20092687

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