Cell damage and oxygen mass transfer during cultivation of Nicotiana tabacum in a stirred-tank bioreactor

1995 ◽  
Vol 11 (2) ◽  
pp. 140-145 ◽  
Author(s):  
Chung-Han Ho ◽  
Kelley A. Henderson ◽  
Gregory L. Rorrer
Author(s):  
Jorge Isaac Martínez-Corona ◽  
Rubén Rogelio Cisneros-Garza ◽  
Felipe Robledo-Padilla ◽  
Roberto Parra-Saldívar ◽  
Andrés Sebastián Treviño-Martínez ◽  
...  

Abstract Bioreactor engineering allows modeling the conditions of real life biological processes. Particularly, oxygen represents one of the most important factors for life, and the understanding and control of its mass transfer in bioreactors is one of the most challenging problems in the industry. The aim of this study was to develop an optical approach for measuring the oxygen mass transfer coefficient (kLa). An assembly was constructed for this purpose, consisting of a stirred tank bioreactor, a high-intensity light source, a luminometer and a digital camera. Air flux supply and stirring velocity of the bioreactor were tested over a range of thirty-five values. The air bubbles generated were counted and their diameters were measured from photographs. The luminometer measured light obstruction due to bubbles. A polarography electrode sensor measured the dissolved oxygen in water to correlate it with the optical approach. The results showed a close correlation between kLa and light obstructed due to bubbles of air. The bubble diameter and holdup results suggest that the size of the bubbles decreases and becomes more homogeneous as stirring speed increases. A multivariable linear model for kLa as a function of the measured light obstruction and air flux injection was constructed. A strong correlation between this model and results was obtained. This approach avoids the need for chemical sensors for sensing systems, with a noninvasive and nondestructive methodology to determine the kLa for dilute solutions. This technique could be developed to evaluate a scaled-up bioreactor before running a bioprocess.


2016 ◽  
Vol 113 ◽  
pp. 37-46 ◽  
Author(s):  
D.M. Palmerín-Carreño ◽  
C.O. Castillo-Araiza ◽  
O.M. Rutiaga-Quiñones ◽  
J.R. Verde-Calvo ◽  
S. Huerta-Ochoa

2009 ◽  
Vol 45 (3) ◽  
pp. 209-217 ◽  
Author(s):  
D. Torres-Martínez ◽  
R. Melgarejo-Torres ◽  
M. Gutiérrez-Rojas ◽  
L. Aguilera-Vázquez ◽  
M. Micheletti ◽  
...  

Author(s):  
Ali Karimi ◽  
Farideh Golbabaei ◽  
Momammad Reza Mehrnia ◽  
Masoud Neghab ◽  
Kazem Mohammad ◽  
...  

Author(s):  
Sanaz Salehi ◽  
Amir Heydarinasab ◽  
Farshid Pajoum Shariati ◽  
Ali Taghvaie Nakhjiri ◽  
Kourosh Abdollahi

Abstract Designing and optimizing a bioreactor can be an especially challenging process. Computational modelling is an effective tool to investigate the effects of various operating parameters on bioreactor performance and identify the optimum ones. In this work, a computational fluid dynamics-population balance model (CFD-PBM) was developed to elucidate the effect of different geometrical and operating parameters on the hydrodynamics and mass transfer coefficient of a batch stirred tank bioreactor. The validated model was projected to predict the effect of different parameters including the gas flow rate, the impeller off-bottom clearance, the number of agitator blades, and rotational speed of the impeller on the velocity profiles, air volume fraction, bubble size distribution, and the local gas mass transfer coefficient (K l a) in the bioreactor. Air bubble breakup and coalescence phenomena were considered in all simulations. Factorial experimental design approach was employed to statistically investigate the impacts of the aforementioned operating and geometrical parameters on K l a and bubble size distribution in the bioreactor in order to determine the most significant parameters. This can give an essential insight into the most impactful factors when it comes to designing and scaling up a bioreactor.


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