Simulation study of monoclonal antibody production using superpro, upstream process

Mohd Shamsul, Husin (2009) Simulation study of monoclonal antibody production using superpro, upstream process. Faculty of Chemical and Natural Resource, Universiti Malaysia Pahang.

[img]
Preview
PDF
Mohd_Shamsul_Husin.pdf

Download (360kB)

Abstract

The purpose of this study is to approximate hybridoma growth kinetic model by comparing simulation result from SuperPro Designer® and experimental result. Modeling of hybridoma include calculation of mass for 1 cell and its density. Two kinetic models tested in this study; experimental correlation and de Tremblay et al. (1992). Simplification need to be made as this will allow selected model to be used in SPD. Value of μmax, KsGLN, KsGLC are 1.09 d-1 (0.05 h-1), 0.3 mM (43.85 mg/L) and 0.1 mM (18.02 mg/L) respectively for de Tremblay and for experimental correlation, their values are 0.158 h-1, 0.0016 mM (0.23 mg/L) and 12.05 mM (2170.93 mg/L) respectively. Experimental data shows no stationary phase but simulation results show stationary phase. From simulation, cell count of 195907.7 while final concentration of glucose, glutamine, ammonia and lactate are 16.38, 4.07, 3.01 and 5.59 mmol/L respectively (experimental correlation) and cell count of 196185.73 while final concentration of glucose, glutamine, ammonia and lactate are 10.73, 2.09, 6.07 and 11.30 mmol/L respectively (de Tremblay). Serious deviations occurred because of simplification on de Tremblay model and inaccurate prediction of glutamine effect on hybridoma’s growth. Metabolic reaction used without taking hybridoma real behavior into account. Simulation shows exponential phase without having going through lag phase.

Item Type: Undergraduates Project Papers
Additional Information: Project paper (Bachelor of Chemical Engineering (Biotechnology)) -- Universiti Malaysia Pahang – 2009
Uncontrolled Keywords: Monoclonal antibodies
Subjects: Q Science > QR Microbiology
Faculty/Division: Faculty of Chemical & Natural Resources Engineering
Depositing User: Rosfadilla Mohamad Zainun
Date Deposited: 20 Jan 2011 23:17
Last Modified: 17 Jun 2021 06:51
URI: http://umpir.ump.edu.my/id/eprint/1148
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item