Journal of Biomedical Imaging and Bioengineering

All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.
Reach Us +1 (202) 780-3397

Perspective - Journal of Biomedical Imaging and Bioengineering (2023) Volume 7, Issue 3

Optimizing bioreactor design and strategies for improved performance.

Robert Hoyle *

Department of Bioengineering, Ege University Bornova, Izmir, Turkey

*Corresponding Author:
Robert Hoyle
Department of Bioengineering,
Ege University Bornova,
Izmir, Turkey
E-mail: Robert.h@ege.edu.tr

Received: 29-May-2023, Manuscript No. AABIB-23-97335; Editor assigned: 01-Jun-2023, PreQC No. AABIB-23-97335 (PQ); Reviewed: 15-Jun-2023, QC No. AABIB-23-97335; Revised: 19-Jun-2023, Manuscript No. AABIB-23-94514; Published: 26-Jun-2023, DOI:10.35841/aabib-7.3.184

Citation: Hoyle R, Optimizing bioreactor design and strategies for improved performance. J Biomed Imag Bioeng. 2023;7(3):184.

Visit for more related articles at Journal of Biomedical Imaging and Bioengineering

Introduction

Bioreactors are essential tools in the field of biotechnology, serving as controlled environments for the growth of microorganisms, plant cells, and animal cells. They are used in the production of a wide range of products, from pharmaceuticals to biofuels. However, the design of a bioreactor can greatly impact its performance, affecting everything from yield and productivity to product quality and purity. In this article, we will explore some of the key factors to consider when designing a bioreactor and highlight strategies for optimizing its performance. One of the most important considerations in bioreactor design is the type of organism or cells being cultured. Different organisms have unique requirements for growth, such as temperature, pH, oxygen concentration, and nutrient availability. For example, bacterial cells may require high oxygen levels, while plant cells may require more gentle mixing to avoid shear stress. As such, the design of a bioreactor must be tailored to the specific needs of the cells being cultured [1].

Another critical aspect of bioreactor design is the choice of vessel type. The most common types of bioreactors include stirred-tank reactors, airlift reactors, and membrane bioreactors. Stirred-tank reactors are ideal for high-density cultures and provide efficient mixing, but can also generate significant shear stress on cells. Airlift reactors are gentle and provide excellent oxygen transfer, making them ideal for aerobic cultures, but can be less efficient in terms of mixing. Membrane bioreactors use a semi-permeable membrane to separate cells from the growth medium, allowing for continuous operation and improved product quality. In addition to vessel type, other design considerations can also impact bioreactor performance. These include the type and placement of sensors for monitoring process parameters, the design of the impeller or mixing system, and the choice of sterilization method. For example, steam sterilization is effective but can cause thermal stress on cells, while chemical sterilization can be gentler but may leave residual chemicals that can impact product purity [2].

Strategies for optimizing bioreactor performance include process control and automation. By using advanced sensors and control systems, bioreactors can be operated more efficiently and with greater precision, reducing variability in the final product. Additionally, the use of process modeling and simulation can help to identify potential bottlenecks and optimize the design and operation of the bioreactor. Finally, the use of single-use bioreactors is becoming increasingly popular in the biotechnology industry. These bioreactors use disposable plastic bags or chambers, eliminating the need for cleaning and sterilization between batches. Single-use bioreactors offer several advantages, including reduced risk of contamination, lower capital costs, and faster turnaround times [3].

Moreover, the scale-up of bioreactor processes from lab-scale to commercial-scale is another important aspect of bioreactor design. As the volume of the bioreactor increases, the physical and biological dynamics of the system change. For example, mixing becomes more challenging, and mass transfer limitations can arise. Therefore, scale-up studies are necessary to identify the optimal design and operating conditions for the larger-scale bioreactor. In recent years, the development of advanced bioreactor technologies has led to significant improvements in bioprocessing. For example, microfluidic bioreactors enable the high-throughput screening of large numbers of culture conditions, allowing for the rapid identification of optimal growth conditions for a particular cell line. In addition, the use of perfusion bioreactors, which continuously supply fresh nutrients and remove waste products, has led to significant improvements in cell culture productivity [4].

Optimizing bioreactor design is crucial for achieving improved performance in biotechnology applications. Factors to consider include the specific requirements of the cells being cultured, the choice of vessel type, and the design of key components such as sensors and mixing systems. By implementing strategies such as process control and automation, as well as the use of single-use bioreactors, researchers can improve product quality, increase productivity, and reduce costs. As biotechnology continues to advance, the design of bioreactors will play an increasingly important role in enabling the development of new and innovative products [5].

References

  1. Duysens LN, Amesz J. Fluorescence spectrophotometry of reduced phosphopyridine nucleotide in intact cells in the near-ultraviolet and visible region. Biochim Biophys Acta Bioenerg. 1957;24:19-26.

    Indexed at, Google Scholar, Cross Ref

  2. Kong D, Gentz R, Zhang J. Development of a versatile computer integrated control system for bioprocess controls. Cytotechnology. 1998;26(3):227.

    Indexed at, Google Scholar, Cross Ref

  3. Kusterer A, Krause C, Kaufmann K, et al. Fully automated single-use stirred-tank bioreactors for parallel microbial cultivations. Bioprocess Biosyst Eng. 2008;31:207-15.

    Google Scholar, Cross Ref

  4. Gogate PR, Beenackers AA, Pandit AB. Multiple-impeller systems with a special emphasis on bioreactors: a critical review. J Biochem Eng. 2000;6(2):109-44.

    Indexed at, Google Scholar, Cross Ref

  5. Chen X, Hu R, Hu L, et al. Portable analytical techniques for monitoring volatile organic chemicals in biomanufacturing processes: Recent advances and limitations. Front Chem. 2020;8:837.

    Indexed at, Google Scholar, Cross Ref

Get the App