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Complete acid-based hydrolysis assay for carbohydrate quantification in seaweed: a species-specific optimized approach

Kostas, Emily Tsambika; Wilkinson, Stuart; White, Daniel A.; Cook, David J.

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Authors

Emily Tsambika Kostas

Stuart Wilkinson

Daniel A. White

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DAVID COOK david.cook@nottingham.ac.uk
Sabmiller Chair Brewing Science



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.

Citation

Kostas, E. T., Wilkinson, S., White, D. A., & Cook, D. J. (in press). Complete acid-based hydrolysis assay for carbohydrate quantification in seaweed: a species-specific optimized approach. Methods in Molecular Biology, https://doi.org/10.1007/7651_2017_105

Journal Article Type Article
Acceptance Date Nov 14, 2017
Online Publication Date Nov 14, 2017
Deposit Date Dec 5, 2017
Publicly Available Date Mar 28, 2024
Journal Methods in Molecular Biology
Electronic ISSN 1940-6029
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1007/7651_2017_105
Keywords Carbohydrate, Composition, Macroalgae, Mass balance, Optimization, Species
Public URL https://nottingham-repository.worktribe.com/output/894476
Publisher URL https://link.springer.com/protocol/10.1007%2F7651_2017_105
Additional Information This is a post-peer-review, pre-copyedited version of an article published in Methods in Molecular Biology. The final authenticated version is available online at: http://dx.doi.org/10.1007/7651_2017_105

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