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NIR and Py-mbms coupled with multivariate data analysis as a high-throughput biomass characterization technique: a review

Optimizing the use of lignocellulosic biomass as the feedstock for renewable energy production is currently being developed globally. Biomass is a complex mixture of cellulose, hemicelluloses, lignins, extractives, and proteins; as well as inorganic salts. Cell wall compositional analysis for biomas...

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Detalles Bibliográficos
Autores principales: Xiao, Li, Wei, Hui, Himmel, Michael E., Jameel, Hasan, Kelley, Stephen S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4124520/
https://www.ncbi.nlm.nih.gov/pubmed/25147552
http://dx.doi.org/10.3389/fpls.2014.00388