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

Bürger, Patrick, Flores Alsina, Xavier, Arellano-Garcia, Harvey and Gernaey, Krist V. (2018) Improved Prediction of Phosphorus Dynamics in Biotechnological Processes by Considering Precipitation and Polyphosphate Formation: A Case Study on Antibiotic Production with Streptomyces coelicolor Industrial & Engineering Chemistry Research, 57 (30). pp. 9740-9749.

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Abstract

The multiplicity of physico-chemical and biological processes, where phosphorus is involved, makes their accurate prediction using current mathematical models in biotechnology quite a challenge. In this work, an antibiotic production model of Streptomyces coelicolor is chosen as a representative case study in which major difficulties arise in explaining the measured phosphate dynamics among some minor additional issues. Thus, the utilization of an advanced speciation model and a multiple mineral precipitation framework is proposed to improve phosphorus predictions. Furthermore, a kinetic approach describing intracellular polyphosphate accumulation and consumption has been developed and implemented. A heuristic re-estimation of selected parameters is carried out to improve overall model performance. The improved process model predicts phosphate dynamics (Root Mean Squared Error ≤52h: -90 %, Relative Average Deviation ≤52h: -96 %) very accurately in comparison to the original implementation, where biomass growth/decay was the only phosphorus source-sink. In addition, parameter re-estimation achieved an improved description of the available measurements for biomass, total ammonia, dissolved oxygen and actinorhodin concentrations.

This work contributes to the existing process knowledge of biotechnological systems in general and especially to antibiotic production with S. coelicolor, while emphasizing the (unavoidable) need of considering both physico-chemical and biological processes to accurately describe phosphorus dynamics.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Chemical and Process Engineering
Authors :
NameEmailORCID
Bürger, Patrick
Flores Alsina, Xavier
Arellano-Garcia, Harveyh.arellano-garcia@surrey.ac.uk
Gernaey, Krist V.
Date : 17 April 2018
DOI : 10.1021/acs.iecr.7b05249
Copyright Disclaimer : Copyright © American Chemical Society. However, no copyright claim is made to original U.S. Government works, or works produced by employees of any Commonwealth realm Crown government in the course of their duties.
Uncontrolled Keywords : Streptomyces coelicolor; Calcium phosphate precipitation; Physico-chemistry; Speciation model; Polyphosphate; Phosphorus storage; Antibiotic production
Related URLs :
Additional Information : This article is part of the 2017 European Symposium on Computer-Aided Process Engineering special issue.
Depositing User : Clive Harris
Date Deposited : 26 Apr 2018 10:07
Last Modified : 18 Apr 2019 02:08
URI: http://epubs.surrey.ac.uk/id/eprint/846308

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