Improved Prediction of Phosphorus Dynamics in Biotechnological Processes by Considering Precipitation and Polyphosphate Formation: A Case Study on Antibiotic Production with Streptomyces coelicolor-Reference-Cited by-同舟云学术

Improved Prediction of Phosphorus Dynamics in Biotechnological Processes by Considering Precipitation and Polyphosphate Formation: A Case Study on Antibiotic Production with Streptomyces coelicolor

Published:2018-04-17 Issue:30 Volume:57 Page:9740-9749
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Bürger Patrick¹^ORCID,Flores-Alsina Xavier²,Arellano-Garcia Harvey³^ORCID,Gernaey Krist V.²

Affiliation:

1. Department of Particle Technology, Brandenburg University of Technology Cottbus-Senftenberg, Building LG 4/3, Burger Chaussee 2, Cottbus, D-03046, Germany

2. Process and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, Building 229, Kgs. Lyngby, 2800, Denmark

3. Department of Chemical and Process Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, GU2 7HX, United Kingdom

Funder

European Commission

Det Frie Forskningsr??d

Heinrich B??ll Stiftung

Water Joint Programming Initiative Water Changing for a Changing World Waterworks

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.7b05249

Reference33 articles.

1. Polyphosphate and Phosphate Pump

2. Matrix notation for efficient development offirst-principlesmodels within PAT applications: Integrated modeling of antibiotic production withStreptomyces coelicolor

3. A kinetic model for actinorhodin production by Streptomyces coelicolor A3(2)

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1. Preface: European Symposium on Computer-Aided Process Engineering;Industrial & Engineering Chemistry Research;2018-08-01