Izvorni znanstveni članak
https://doi.org/10.15255/CABEQ.2018.1393
Application of Chemical Engineering Methodology in Process Development: A Case Study of MenD-catalyzed Synthesis of 6-Cyano-4-oxohexanoic Acid
M. Sudar
orcid.org/0000-0002-6734-1024
; University of Zagreb, Faculty of Chemical Engineering and Technology, Department of Reaction Engineering and Catalysis, Savska cesta 16, 10000 Zagreb, Croatia
I. Dejanović
orcid.org/0000-0002-5773-5783
; University of Zagreb, Faculty of Chemical Engineering and Technology, Department of Reaction Engineering and Catalysis, Savska cesta 16, 10000 Zagreb, Croatia
M. Müller
; Institute of Pharmaceutical Sciences, Albert-Ludwigs-Universität Freiburg, Albertstrasse 25, 79104 Freiburg, Germany
Đ. Vasić-Rački
orcid.org/0000-0003-3927-8264
; University of Zagreb, Faculty of Chemical Engineering and Technology, Department of Reaction Engineering and Catalysis, Savska cesta 16, 10000 Zagreb, Croatia
Z. Findrik Blažević
orcid.org/0000-0002-5312-8951
; University of Zagreb, Faculty of Chemical Engineering and Technology, Department of Reaction Engineering and Catalysis, Savska cesta 16, 10000 Zagreb, Croatia
Sažetak
To speed up evaluation, development and upscaling of new processes, the use of engineering methodology can have a great impact. Here we show the application of an engineering approach to find the reaction conditions allowing the best process metrics. An experimentally validated mathematical model for the MenD-catalyzed synthesis of a commercially unavailable product, 6-cyano 4-oxohexanoic acid, with a potential industrial use as a building block, was used for process optimization. Using the optimized conditions, 62.4 g dm–3 of product, volume productivity of 87.1 g dm–3 d–1, product yield of 96 %, and biocatalyst productivity of 25.8 kgP kg–1
MenD can be achieved. Based on the optimized production procedure, economic analysis was performed to determine minimal product price required for project to be profitable in 8 years economic lifetime. In addition, Monte Carlo analysis (MCA) was used to assess the influence of uncertainties in estimation of input variables on overall economic performance.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Ključne riječi
mathematical modeling; process economics; Monte Carlo analysis; C-C coupling; enzyme catalysis; process engineering
Hrčak ID:
215713
URI
Datum izdavanja:
15.1.2019.
Posjeta: 922 *