Literature DB >> 24413978

Prelude to rational scale-up of penicillin production: a scale-down study.

Guan Wang1, Ju Chu, Henk Noorman, Jianye Xia, Wenjun Tang, Yingping Zhuang, Siliang Zhang.   

Abstract

Penicillin is one of the best known pharmaceuticals and is also an important member of the β-lactam antibiotics. Over the years, ambitious yields, titers, productivities, and low costs in the production of the β-lactam antibiotics have been stepwise realized through successive rounds of strain improvement and process optimization. Penicillium chrysogenum was proven to be an ideal cell factory for the production of penicillin, and successful approaches were exploited to elevate the production titer. However, the industrial production of penicillin faces the serious challenge that environmental gradients, which are caused by insufficient mixing and mass transfer limitations, exert a considerably negative impact on the ultimate productivity and yield. Scale-down studies regarding diverse environmental gradients have been carried out on bacteria, yeasts, and filamentous fungi as well as animal cells. In accordance, a variety of scale-down devices combined with fast sampling and quenching protocols have been established to acquire the true snapshots of the perturbed cellular conditions. The perturbed metabolome information stemming from scale-down studies contributed to the comprehension of the production process and the identification of improvement approaches. However, little is known about the influence of the flow field and the mechanisms of intracellular metabolism. Consequently, it is still rather difficult to realize a fully rational scale-up. In the future, developing a computer framework to simulate the flow field of the large-scale fermenters is highly recommended. Furthermore, a metabolically structured kinetic model directly related to the production of penicillin will be further coupled to the fluid flow dynamics. A mathematical model including the information from both computational fluid dynamics and chemical reaction dynamics will then be established for the prediction of detailed information over the entire period of the fermentation process and thereby for the optimization of penicillin production, and subsequently also benefiting other fermentation products.

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Year:  2014        PMID: 24413978     DOI: 10.1007/s00253-013-5497-2

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  3 in total

1.  Euler-Lagrange computational fluid dynamics for (bio)reactor scale down: An analysis of organism lifelines.

Authors:  Cees Haringa; Wenjun Tang; Amit T Deshmukh; Jianye Xia; Matthias Reuss; Joseph J Heijnen; Robert F Mudde; Henk J Noorman
Journal:  Eng Life Sci       Date:  2016-09-14       Impact factor: 2.678

Review 2.  Antibacterial Discovery and Development: From Gene to Product and Back.

Authors:  Victor Fedorenko; Olga Genilloud; Liliya Horbal; Giorgia Letizia Marcone; Flavia Marinelli; Yossi Paitan; Eliora Z Ron
Journal:  Biomed Res Int       Date:  2015-08-03       Impact factor: 3.411

3.  Comparative performance of different scale-down simulators of substrate gradients in Penicillium chrysogenum cultures: the need of a biological systems response analysis.

Authors:  Guan Wang; Junfei Zhao; Cees Haringa; Wenjun Tang; Jianye Xia; Ju Chu; Yingping Zhuang; Siliang Zhang; Amit T Deshmukh; Walter van Gulik; Joseph J Heijnen; Henk J Noorman
Journal:  Microb Biotechnol       Date:  2018-01-15       Impact factor: 5.813

  3 in total

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