Bioprocessing case study : application of fractional factorial and taguchi parameter design for optimisation of multi-phase in-vitro erythropoiesis process

In humans, studies of multi-phase in-vitro erythropoiesis are hampered by difficulties in obtaining sufficient and robust numbers of erythroid progenitors and mature erythrocytes. In this study, classical fractional factorial and Taguchi parameter design were performed to attain a systematic un...

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Main Author: Chua, Shun Jie.
Other Authors: School of Chemical and Biomedical Engineering
Format: Final Year Project
Language:English
Published: 2010
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Online Access:http://hdl.handle.net/10356/40148
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-401482023-03-03T15:38:46Z Bioprocessing case study : application of fractional factorial and taguchi parameter design for optimisation of multi-phase in-vitro erythropoiesis process Chua, Shun Jie. School of Chemical and Biomedical Engineering Mayasari Lim DRNTU::Engineering::Chemical engineering::Biotechnological production In humans, studies of multi-phase in-vitro erythropoiesis are hampered by difficulties in obtaining sufficient and robust numbers of erythroid progenitors and mature erythrocytes. In this study, classical fractional factorial and Taguchi parameter design were performed to attain a systematic understanding of the significant factors. A resolution IV fractional factorial design used for initial screening with seven factors (Cytokines) viz., SCF, TPO, FL, IL-3, IL6, GM-CSF and EPO tested. Using ANOVA, Normal plot and Half-normal plot and fold expanded as response, the significant factors (SCF and EPO) were identified and combined with IGFII for as control factors and umbilical cord blood donor to donor variation as noise factor. Next, Taguchi parameter design was implemented over 3 Phases (Day 0-6, 6-10 and 10-16) for more in depth study and factor optimization. A L8 orthogonal array with 3 factors of control at 2 levels each and 4 interactions was used. With ANOVA, Half normal plot and Response table, IGFII, EPO, IGFII x EPO ; SCF and EPO; SCF and EPO were identified as the significant factors/interactions at Phases I, II and III respectively. From the S/N Plot, the optimum parameter levels were SCF 10, 110, 110ng/ml IGFII 100, 0,0ng/ml and EPO 5, 5,5 IU/ml at phases I,II and III respectively. A systematic framework for use of fractional factorial and Taguchi parameter design for a multi-phase in-vitro erythropoiesis is shown to be feasible and may serve as framework for future efficient studies on complex biological processes. Bachelor of Engineering (Chemical and Biomolecular Engineering) 2010-06-11T01:49:26Z 2010-06-11T01:49:26Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/40148 en Nanyang Technological University 99 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Chemical engineering::Biotechnological production
spellingShingle DRNTU::Engineering::Chemical engineering::Biotechnological production
Chua, Shun Jie.
Bioprocessing case study : application of fractional factorial and taguchi parameter design for optimisation of multi-phase in-vitro erythropoiesis process
description In humans, studies of multi-phase in-vitro erythropoiesis are hampered by difficulties in obtaining sufficient and robust numbers of erythroid progenitors and mature erythrocytes. In this study, classical fractional factorial and Taguchi parameter design were performed to attain a systematic understanding of the significant factors. A resolution IV fractional factorial design used for initial screening with seven factors (Cytokines) viz., SCF, TPO, FL, IL-3, IL6, GM-CSF and EPO tested. Using ANOVA, Normal plot and Half-normal plot and fold expanded as response, the significant factors (SCF and EPO) were identified and combined with IGFII for as control factors and umbilical cord blood donor to donor variation as noise factor. Next, Taguchi parameter design was implemented over 3 Phases (Day 0-6, 6-10 and 10-16) for more in depth study and factor optimization. A L8 orthogonal array with 3 factors of control at 2 levels each and 4 interactions was used. With ANOVA, Half normal plot and Response table, IGFII, EPO, IGFII x EPO ; SCF and EPO; SCF and EPO were identified as the significant factors/interactions at Phases I, II and III respectively. From the S/N Plot, the optimum parameter levels were SCF 10, 110, 110ng/ml IGFII 100, 0,0ng/ml and EPO 5, 5,5 IU/ml at phases I,II and III respectively. A systematic framework for use of fractional factorial and Taguchi parameter design for a multi-phase in-vitro erythropoiesis is shown to be feasible and may serve as framework for future efficient studies on complex biological processes.
author2 School of Chemical and Biomedical Engineering
author_facet School of Chemical and Biomedical Engineering
Chua, Shun Jie.
format Final Year Project
author Chua, Shun Jie.
author_sort Chua, Shun Jie.
title Bioprocessing case study : application of fractional factorial and taguchi parameter design for optimisation of multi-phase in-vitro erythropoiesis process
title_short Bioprocessing case study : application of fractional factorial and taguchi parameter design for optimisation of multi-phase in-vitro erythropoiesis process
title_full Bioprocessing case study : application of fractional factorial and taguchi parameter design for optimisation of multi-phase in-vitro erythropoiesis process
title_fullStr Bioprocessing case study : application of fractional factorial and taguchi parameter design for optimisation of multi-phase in-vitro erythropoiesis process
title_full_unstemmed Bioprocessing case study : application of fractional factorial and taguchi parameter design for optimisation of multi-phase in-vitro erythropoiesis process
title_sort bioprocessing case study : application of fractional factorial and taguchi parameter design for optimisation of multi-phase in-vitro erythropoiesis process
publishDate 2010
url http://hdl.handle.net/10356/40148
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