Kostas, ET;
Wilkinson, SJ;
White, DA;
Cook, DJ;
(2017)
Complete Acid-Based Hydrolysis Assay for Carbohydrate Quantification in Seaweed: A Species-Specific Optimized Approach.
Methods in Molecular Biology
, 1980
pp. 181-190.
10.1007/7651_2017_105.
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Abstract
Accurate quantification of the carbohydrate content of biomass is crucial for many bio-refining processes. The most commonly followed protocol is typically a modification of the NREL-based assay (specifically designed for carbohydrate analysis from lignocellulosic biomass). However, this NREL protocol was revealed to be excessively thermochemically harsh for seaweed biomass. This can result in erroneously low total sugar quantification as the reaction severity can degrade a proportion of the liberated sugars to decomposition products such as furans. Here we describe an optimization of the total acid hydrolysis protocol for accurate quantification of the carbohydrate content of seaweeds. Different species of seaweed can be accurately evaluated for their carbohydrate contents by following this optimized method.
| Type: | Article |
|---|---|
| Title: | Complete Acid-Based Hydrolysis Assay for Carbohydrate Quantification in Seaweed: A Species-Specific Optimized Approach |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/7651_2017_105 |
| Publisher version: | http://doi.org/10.1007/7651_2017_105 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Carbohydrate, Composition, Macroalgae, Mass balance, Optimization, Species |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Biochemical Engineering |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10067712 |
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