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Reaction network flux analysis: Optimization‐based evaluation of reaction pathways for biorenewables processing
Author(s) -
Voll A.,
Marquardt W.
Publication year - 2012
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.12704
Subject(s) - biorefinery , biochemical engineering , itaconic acid , flux (metallurgy) , production (economics) , raw material , process (computing) , computer science , biofuel , biomass (ecology) , process engineering , chemistry , engineering , waste management , organic chemistry , biology , economics , copolymer , macroeconomics , operating system , polymer , agronomy
Even though biomass is attracting increasing interest as a raw material in the chemical and the fuel industries, only few biobased production processes are yet established. At the same time a lot of new catalytic routes are proposed, but their potential in biorefinery applications is hard to predict. Reaction network flux analysis (RNFA) is introduced as a novel, rapid screening method which bridges the gap between chemo‐ or biocatalysis and process design by (1) systematically identifying and (2) subsequently analyzing and ranking the large number of alternative reaction pathways based on limited data. This optimization‐based method helps to detect promising production routes as well as bottlenecks in possible pathways. The potential and the application of the RNFA methodology will be demonstrated by means of a case study for the production of the potential biofuel 3‐methyl‐tetrahydrofuran (3‐MTHF) from the platform chemical itaconic acid (IA). © 2011 American Institute of Chemical Engineers AIChE J, 58: 1788–1801, 2012