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Addressing raw material variability: In-line FTIR sugar composition analysis of lignocellulosic process streams.
- Source :
-
Bioresource technology [Bioresour Technol] 2024 May; Vol. 399, pp. 130535. Date of Electronic Publication: 2024 Mar 15. - Publication Year :
- 2024
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Abstract
- For a sustainable economy, biorefineries that use second-generation feedstocks to produce biochemicals and biofuels are essential. However, the exact composition of renewable feedstocks depends on the natural raw materials used and is therefore highly variable. In this contribution, a process analytical technique (PAT) strategy for determining the sugar composition of lignocellulosic process streams in real-time to enable better control of bioprocesses is presented. An in-line mid-IR probe was used to acquire spectra of ultra-filtered spent sulfite liquor (UF-SSL). Independent partial least squares models were developed for the most abundant sugars in the UF-SSL. Up to 5 sugars were quantified simultaneously to determine the sugar concentration and composition of the UF-SSL. The lowest root mean square errors of the predicted values obtained per analyte were 1.02 g/L arabinose, 1.25 g/L galactose, 0.50 g/L glucose, 1.60 g/L mannose, and 0.85 g/L xylose. Equipped with this novel PAT tool, new bioprocessing strategies can be developed for UF-SSL.<br />Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1873-2976
- Volume :
- 399
- Database :
- MEDLINE
- Journal :
- Bioresource technology
- Publication Type :
- Academic Journal
- Accession number :
- 38492653
- Full Text :
- https://doi.org/10.1016/j.biortech.2024.130535