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Chemical Engineering Science
Article . 2024 . Peer-reviewed
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Valorizing brewer's spent grain: A sequential pathway of supercritical extraction, hydrolysis, and fermentation

A sequential pathway of supercritical extraction, hydrolysis, and fermentation
Authors: Silvia Lisci; Stefania Tronci; Massimiliano Grosso; Ron Hajrizaj; Leonardo Sibono; Henrik Karring; Alexandr Gerganov; +2 Authors

Valorizing brewer's spent grain: A sequential pathway of supercritical extraction, hydrolysis, and fermentation

Abstract

The possibility of breweŕs spent grain exploitation through a sequence of supercritical fluid extraction, acid hydrolysis, and fermentation was considered. All steps have been optimized within an interval of operative conditions, using specific designs of the experiments, and modeled through the Response Surface Methodology. The supercritical fluid extraction was optimized in the pressure range 20–40 MPa and temperature 40–100 °C. A fractional factorial design was applied considering the sulfuric (0.065–0.37 M) and nitric (0.01–0.5 M) acid concentration, and the liquid–solid ratio (8–12 w/w %) as independent factors for the hydrolysis step. The fermentation process of pre-treated BSG was also optimized using the Box-Behnken design with temperature (25–37 °C), inoculum volume (5–15 v/v %), and pH (4.5–6.5) as investigated factors. At optimal conditions, the overall process led to an ethanol yield of 82 % evaluated with respect to the theoretical one. Moreover, all the supercritical fluid extracts were richer in phenolic compounds than the ones obtained by the traditional Soxhlet method.

Countries
Italy, Denmark
Keywords

Circular economy, Bioethanol, Biowaste, Biorefinery; Biowaste; Circular economy; Process optimization; Bioethanol, Biorefinery, Process optimization

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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Energy Research