Bioreactor’s optimization through an innovative agitation-aeration system
Palabras clave:
bioreactors, optimization, bioproductionResumen
Motivation: Bioreactor systems are essential for optimizing biotechnological processes in industries like pharmaceuticals and
food. Traditional systems, such as Rushton impellers, face challenges with energy inefficiency and poor oxygen transfer. The
BioMixing’s aeration and agitation system, based on CFD simulations, offers a patented solution to improve oxygen transfer,
mixing efficiency, and overall productivity (Ashok et al., 2017).
Methods: The system’s performance was evaluated in two main experiments: 1) kLa (volumetric mass transfer coefficient)
measurement via oxygen saturation and nitrogen purging (Vanags & Suleiko, 2022), and 2) mixing time measurement with the
iodine-starch method.The experimental procedures were carried out following the guidelines outlined in the Dechema protocol.
Both experiments were conducted to compare Rushton's aeration-agitation system with our innovative system, aiming to identify
significant differences between them.
Results:The BioMixing system achieved a remarkable 170% improvement in kLa at 250 rpm, and up to 60% at 400 rpm,
compared to the conventional Rushton system. This enhanced oxygen transfer, especially at lower revolutions, is crucial for
optimizing production processes in industries such as pharmaceuticals. Furthermore, the mixing time experiment demonstrated
significant improvements in homogenization and medium distribution. At 700 rpm, the BioMixing system delivered performance
enhancements of up to 29.4%, reinforcing its potential for more efficient bioprocessing (Nienow, 1998; Kelly, 2008).
Conclusion:The BioMixing system outperforms traditional bioreactors in key parameters such as oxygen transfer and mixing
efficiency, offering a promising solution for enhancing biotechnological productivity and sustainability.y. Future work will refine
its application for broader microbial cultivation (Wang et al., 2020).
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Ashok A. et al (2017). Design of solid state bioreactor for industrial applications: An overview to conventional bioreactors. Biocatalysis and Agricultural Biotechnology.
Vanags J. & Suleiko A. (2022). Oxygen mass transfer coefficient application in characterization of bioreactors and fermentation processes. Latvian Journal of Physics and Technical Sciences. Sciendo. DOI: 10.2478/lpts-2022-0038
Nienow A. (1998). Hydrodynamics of Stirred Bioreactors. Applied Mechanics Review. Volume 51, Issue 1, (pp.3-32). DOI: 10.1115/1.3098990
Kelly W. (2008). Using computational fluid dynamics to characterize and improve bioreactor performance. Biotechnology and Applied Biochemistry. Volume 49 (pp. 225-238). DOI: doi:10.1042/BA20070177
Wang B. et al (2020). Development of Novel Bioreactor Control Systems Based on Smart Sensors and Actuators. Frontiers in Bioengineering and Biotechnology. Volume 8. DOI: 10.3389/fbioe.2020.00007
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Derechos de autor 2025 Biosaia: Revista de los másteres de Biotecnología Sanitaria y Biotecnología Ambiental, Industrial y Alimentaria

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