Machine Learning-Based Classification of Lignocellulosic Biomass from Pyrolysis-Molecular Beam Mass Spectrometry Data

High-throughput analysis of biomass is necessary to ensure consistent and uniform feedstocks for agricultural and bioenergy applications and is needed to inform genomics and systems biology models. Pyrolysis followed by mass spectrometry such as molecular beam mass spectrometry (py-MBMS) analyses ar...

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Detalles Bibliográficos
Autores principales: Nag, Ambarish, Gerritsen, Alida, Doeppke, Crissa, Harman-Ware, Anne E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8071563/
https://www.ncbi.nlm.nih.gov/pubmed/33921121
http://dx.doi.org/10.3390/ijms22084107

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8071563/
https://www.ncbi.nlm.nih.gov/pubmed/33921121
http://dx.doi.org/10.3390/ijms22084107

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