Home LiteratureArticle Details
PMID: 40102461 Published · epublish English Journal Article

Characterizing the effect of impeller design in plant cell fermentations using CFD modeling.

Scientific reports ·Vol. 15 ·No. 1 ·2025-03-18 ·页码 9322

Manickavasagam VM, Anupindi K, Bhatt N, Srivastava S

Abstract

Cultivation of plant cell cultures in conventional bioreactors designed for microbial cells often results in decrease of biomass productivity as compared to that in shake flasks, presumably due to the imbalance between the mass transfer requirements and compromise with cell viability. Hit and trial methods for bioreactor design are generally performed to achieve high biomass productivity in the bioreactor. In this study, a rational approach has been adopted to choose a suitable impeller for Viola odorata cell suspension culture using computational fluid dynamics (CFD). A two-phase CFD model was employed to characterize the non-Newtonian fluid dynamics of the plant cell suspension in a stirred tank reactor using different impeller designs, a setric, Rushton and marine impeller. The simulations were performed adopting Euler-Euler approach for the two-phase flow and dispersed [Formula: see text] turbulence model. The numerical model was validated with good agreement with experimental determination of volumetric mass transfer coefficient. The impact of impeller design was then investigated on critical process parameters like mixing, oxygen mass transfer and shear. The developed CFD model demonstrated that setric impeller is a suitable choice for V. odorata cell cultivation among the three impellers offering low-shear environment at equivalent velocity magnitudes at reactor bottom with higher cell-lift capabilities which is preferable in high cell-density plant cell cultivations.

Keywords
Computational fluid dynamics Marine impeller Plant cell suspension cultures Rushton impeller Setric impeller Stirred bioreactors
MeSH 主题词
Bioreactors Fermentation Plant Cells/metabolism Hydrodynamics Biomass Computer Simulation Models, Biological Cell Culture Techniques/methods,instrumentation
作者与单位
共 4 位作者,点击展开单位 / ORCID
Manickavasagam Vidya Muthulakshmi
Department of Biotechnology, Bhupat & Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, Tamil Nadu, 600 036, India.
Anupindi Kameswararao
Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai, Tamil Nadu, 600 036, India.
Bhatt Nirav
Department of Biotechnology, Bhupat & Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, Tamil Nadu, 600 036, India. [email protected]. | Department of Data Science and Artificial Intelligence, Wadhwani School of Data Science and Artificial Intelligence, Indian Institute of Technology Madras, Chennai, Tamil Nadu, 600 036, India. [email protected].
Srivastava Smita
Department of Biotechnology, Bhupat & Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, Tamil Nadu, 600 036, India. [email protected].
Article Info
Journal
Scientific reports
Abbr.
Sci Rep
ISSN
2045-2322
Published
2025-03-18
电子出版
2025-00-18
页码
9322
Language
English
Country/Region
England
NLM ID
101563288
基金资助
Ministry of Education, India · SB22230145BTPMRF008458
Hyclone Life Sciences Solutions India Private Limited (Cytiva) · CR22230114BTHLSS008458
L&T Technology Services · CR21221810BTLNTE008458
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]