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Bioreactor Design and Analysis: Scale and Non-Ideal Reactors

Learn suitable criteria for the scale-up of bioprocesses and characterize non-ideality with this free online course.

Publisher: NPTEL
One of the major problems in commercializing the biotechnological invention is the scale-up of the process. This free online course will enable you to identify suitable criteria for the scale-up, principles for scale, and characterize non-ideality in bioreactors. This course will be of interest to anyone in the area of bioengineering, biotechnology, or other related disciplines. Boost your skills in biotechnology by studying this exciting course.
Bioreactor Design and Analysis: Scale and Non-Ideal Reactors
  • Duration

    1.5-3 Hours
  • Students

  • Accreditation






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Scale-up of reactors is a major task for chemical engineers and is the fundamental step in the realization and optimization of industrial plants. This free online course will enable you to gain an insight into a suitable criterion for the scale-up of bioprocesses and characterize non-ideality in bioreactors. The fundamental principles of scale-up such as geometrical and dynamic similarity of flow fields will be comprehensively treated in the course. You will see the key variables of the biochemical process influenced by the size and the three distinct stages involved in bioprocess development. Find out the reasons why scale-up is a problem and determine the possible solutions. Also, gain an understanding of the pilot plant and large-scale production unit and the forces that may act on the fluid element during agitation. You will learn how to determine power consumption by an agitator, the impeller speed, and how using a different fluid can make scale-up possible.

The objective of a scale-up in a reactor design is to determine the criteria on which to base the transfer of the laboratory scale into a full-scale commercial unit. This course will teach you the different criteria used for scale-up. The scale-up and dimensionless analysis are scale-dependent implying different behaviour on laboratory, model, or full-scale plants. You will consider the dimensionless parameters and mathematical modelling in scale-up. The factors influencing dimensionless mixing system and the equation providing the relationship between mixing time in two scales fermenters when constant mixing quality is the basis of scale-up will be analyzed. Learn the important considerations in dimensionless mixing factor and the steps to be followed in scale-up.

Finally, you will study the concept of non-ideality in reactors. The ideal reactors such as the plug flow and mixed flow reactor and their different behaviours in terms of conversion and product distribution will be explained. Find out the causes of deviations in flow patterns and other interrelated factors that make up the contacting or flow patterns such as the residence time distribution, state of aggregation of the flowing material, the earliness, and lateness of mixing of material in the vessel. The pulse and step input experiment will be used to find the relationship between the F and E curve. Learn how to calculate the mean residence time of fluid, tabulate and plot the exit age distribution of the E curve. The steady-state assumptions in closed vessel boundary, how to characterize distribution, and exponential decay expressed by differential equation will be discussed. Scale-up is perhaps one of the hardest and most complex steps of any fermentation process for engineers. Engineers must take into account all aspects that affect the integrity of the fermentation during the scale-up process. This course will be of interest to students in the field of bioprocessing, chemical engineering and other related disciplines, giving you a solid theoretical and analytical grounding in these highilighted aspects of biotechnology.  Why wait, start this course today!

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