Data set of green extraction of valuable chemicals from lignocellulosic biomass using microwave method

Lignocellulosic biomass is a promising alternative for the replacement of limited fossil resources to produce various chemical compounds, such as 5-hydroxymethylfurfural, furfural, vanillin, vanillic acid, ferulic acid, syringaldehyde, and 4-aminobenzoic acid. However, the complex biomass structure...

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Autores principales: Osorio-González, Carlos S., Hegde, Krishnamoorthy, Brar, Satinder K., Kermanshahipour, Azadeh, Avalos-Ramírez, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Environmental Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6731349/
https://www.ncbi.nlm.nih.gov/pubmed/31516937
http://dx.doi.org/10.1016/j.dib.2019.104347
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author Osorio-González, Carlos S.
Hegde, Krishnamoorthy
Brar, Satinder K.
Kermanshahipour, Azadeh
Avalos-Ramírez, Antonio
author_facet Osorio-González, Carlos S.
Hegde, Krishnamoorthy
Brar, Satinder K.
Kermanshahipour, Azadeh
Avalos-Ramírez, Antonio
author_sort Osorio-González, Carlos S.
collection PubMed
description Lignocellulosic biomass is a promising alternative for the replacement of limited fossil resources to produce various chemical compounds, such as 5-hydroxymethylfurfural, furfural, vanillin, vanillic acid, ferulic acid, syringaldehyde, and 4-aminobenzoic acid. However, the complex biomass structure is a limitation to making effective use of this naturally found feedstock. This research presents a data set of different compounds obtained directly from forest residues, with special emphasis on achieving effective utilization of the biomass. The extraction method and the catalyst are considered as the two main factors in this valorization process.
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spelling pubmed-67313492019-09-12 Data set of green extraction of valuable chemicals from lignocellulosic biomass using microwave method Osorio-González, Carlos S. Hegde, Krishnamoorthy Brar, Satinder K. Kermanshahipour, Azadeh Avalos-Ramírez, Antonio Data Brief Environmental Science Lignocellulosic biomass is a promising alternative for the replacement of limited fossil resources to produce various chemical compounds, such as 5-hydroxymethylfurfural, furfural, vanillin, vanillic acid, ferulic acid, syringaldehyde, and 4-aminobenzoic acid. However, the complex biomass structure is a limitation to making effective use of this naturally found feedstock. This research presents a data set of different compounds obtained directly from forest residues, with special emphasis on achieving effective utilization of the biomass. The extraction method and the catalyst are considered as the two main factors in this valorization process. Elsevier 2019-08-22 /pmc/articles/PMC6731349/ /pubmed/31516937 http://dx.doi.org/10.1016/j.dib.2019.104347 Text en © 2019 Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Environmental Science
Osorio-González, Carlos S.
Hegde, Krishnamoorthy
Brar, Satinder K.
Kermanshahipour, Azadeh
Avalos-Ramírez, Antonio
Data set of green extraction of valuable chemicals from lignocellulosic biomass using microwave method
title Data set of green extraction of valuable chemicals from lignocellulosic biomass using microwave method
title_full Data set of green extraction of valuable chemicals from lignocellulosic biomass using microwave method
title_fullStr Data set of green extraction of valuable chemicals from lignocellulosic biomass using microwave method
title_full_unstemmed Data set of green extraction of valuable chemicals from lignocellulosic biomass using microwave method
title_short Data set of green extraction of valuable chemicals from lignocellulosic biomass using microwave method
title_sort data set of green extraction of valuable chemicals from lignocellulosic biomass using microwave method
topic Environmental Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6731349/
https://www.ncbi.nlm.nih.gov/pubmed/31516937
http://dx.doi.org/10.1016/j.dib.2019.104347
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