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Process design and evaluation of production of bioethanol and β-lactam antibiotic from lignocellulosic biomass

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Nov 2014Publisher:Elsevier BVJournal:Bioresource Technology, volume 172, pages 194-200 (issn: 0960-8524,

Authors: Seung Wook Kim; Sung Bong Kim; Chulhwan Park;

doi: 10.1016/j.biortech.2014.09.031

pmid: 25262428

Process design and evaluation of production of bioethanol and β-lactam antibiotic from lignocellulosic biomass

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Abstract

To design biorefinery processes producing bioethanol from lignocellulosic biomass with dilute acid pretreatment, biorefinery processes were simulated using the SuperPro Designer program. To improve the efficiency of biomass use and the economics of biorefinery, additional pretreatment processes were designed and evaluated, in which a combined process of dilute acid and aqueous ammonia pretreatments, and a process of waste media containing xylose were used, for the production of 7-aminocephalosporanic acid. Finally, the productivity and economics of the designed processes were compared.

Related Organizations

Korea University
Korea (Republic of)
Kwangwoon University
Korea (Republic of)
Kwangwoon University
Korea (Republic of)
Korea University
Korea (Republic of)

Keywords

Ethanol, Saccharomyces cerevisiae, Lignin, Cephalosporins, Acremonium, Biofuels, Computer Simulation, Biomass

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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).	10
	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.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average