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Derivatization-free gel permeation chromatography elucidates enzymatic cellulose hydrolysis

BACKGROUND: The analysis of cellulose molecular weight distributions by gel permeation chromatography (GPC) is a powerful tool to obtain detailed information on enzymatic cellulose hydrolysis, supporting the development of economically viable biorefinery processes. Unfortunately, due to work and tim...

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Autores principales: Engel, Philip, Hein, Lea, Spiess, Antje C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3524663/
https://www.ncbi.nlm.nih.gov/pubmed/23062284
http://dx.doi.org/10.1186/1754-6834-5-77
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author Engel, Philip
Hein, Lea
Spiess, Antje C
author_facet Engel, Philip
Hein, Lea
Spiess, Antje C
author_sort Engel, Philip
collection PubMed
description BACKGROUND: The analysis of cellulose molecular weight distributions by gel permeation chromatography (GPC) is a powerful tool to obtain detailed information on enzymatic cellulose hydrolysis, supporting the development of economically viable biorefinery processes. Unfortunately, due to work and time consuming sample preparation, the measurement of cellulose molecular weight distributions has a limited applicability until now. RESULTS: In this work we present a new method to analyze cellulose molecular weight distributions that does not require any prior cellulose swelling, activation, or derivatization. The cellulose samples were directly dissolved in dimethylformamide (DMF) containing 10-20% (v/v) 1-ethyl-3-methylimidazolium acetate (EMIM Ac) for 60 minutes, thereby reducing the sample preparation time from several days to a few hours. The samples were filtrated 0.2 μm to avoid column blocking, separated at 0.5 mL/min using hydrophilic separation media and were detected using differential refractive index/multi angle laser light scattering (dRI/MALLS). The applicability of this method was evaluated for the three cellulose types Avicel, α-cellulose and Sigmacell. Afterwards, this method was used to measure the changes in molecular weight distributions during the enzymatic hydrolysis of the different untreated and ionic liquid pretreated cellulose substrates. The molecular weight distributions showed a stronger shift to smaller molecular weights during enzymatic hydrolysis using a commercial cellulase preparation for cellulose with lower crystallinity. This was even more pronounced for ionic liquid-pretreated cellulose. CONCLUSIONS: In conclusion, this strongly simplified GPC method for cellulose molecular weight distribution allowed for the first time to demonstrate the influence of cellulose properties and pretreatment on the mode of enzymatic hydrolysis.
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spelling pubmed-35246632012-12-19 Derivatization-free gel permeation chromatography elucidates enzymatic cellulose hydrolysis Engel, Philip Hein, Lea Spiess, Antje C Biotechnol Biofuels Research BACKGROUND: The analysis of cellulose molecular weight distributions by gel permeation chromatography (GPC) is a powerful tool to obtain detailed information on enzymatic cellulose hydrolysis, supporting the development of economically viable biorefinery processes. Unfortunately, due to work and time consuming sample preparation, the measurement of cellulose molecular weight distributions has a limited applicability until now. RESULTS: In this work we present a new method to analyze cellulose molecular weight distributions that does not require any prior cellulose swelling, activation, or derivatization. The cellulose samples were directly dissolved in dimethylformamide (DMF) containing 10-20% (v/v) 1-ethyl-3-methylimidazolium acetate (EMIM Ac) for 60 minutes, thereby reducing the sample preparation time from several days to a few hours. The samples were filtrated 0.2 μm to avoid column blocking, separated at 0.5 mL/min using hydrophilic separation media and were detected using differential refractive index/multi angle laser light scattering (dRI/MALLS). The applicability of this method was evaluated for the three cellulose types Avicel, α-cellulose and Sigmacell. Afterwards, this method was used to measure the changes in molecular weight distributions during the enzymatic hydrolysis of the different untreated and ionic liquid pretreated cellulose substrates. The molecular weight distributions showed a stronger shift to smaller molecular weights during enzymatic hydrolysis using a commercial cellulase preparation for cellulose with lower crystallinity. This was even more pronounced for ionic liquid-pretreated cellulose. CONCLUSIONS: In conclusion, this strongly simplified GPC method for cellulose molecular weight distribution allowed for the first time to demonstrate the influence of cellulose properties and pretreatment on the mode of enzymatic hydrolysis. BioMed Central 2012-10-12 /pmc/articles/PMC3524663/ /pubmed/23062284 http://dx.doi.org/10.1186/1754-6834-5-77 Text en Copyright ©2012 Engel et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Engel, Philip
Hein, Lea
Spiess, Antje C
Derivatization-free gel permeation chromatography elucidates enzymatic cellulose hydrolysis
title Derivatization-free gel permeation chromatography elucidates enzymatic cellulose hydrolysis
title_full Derivatization-free gel permeation chromatography elucidates enzymatic cellulose hydrolysis
title_fullStr Derivatization-free gel permeation chromatography elucidates enzymatic cellulose hydrolysis
title_full_unstemmed Derivatization-free gel permeation chromatography elucidates enzymatic cellulose hydrolysis
title_short Derivatization-free gel permeation chromatography elucidates enzymatic cellulose hydrolysis
title_sort derivatization-free gel permeation chromatography elucidates enzymatic cellulose hydrolysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3524663/
https://www.ncbi.nlm.nih.gov/pubmed/23062284
http://dx.doi.org/10.1186/1754-6834-5-77
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