Optimizing ethanol production in Escherichia Coli using particle swarm optimization
Also available in printed version
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| Format: | Bachelor thesis |
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Universiti Teknologi Malaysia
2025
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| Online Access: | https://utmik.utm.my/handle/123456789/101417 |
| Abstract | Abstract here |
| _version_ | 1854934148169334784 |
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| author | Liew, Mei Jing |
| author2 | Safa'ai Deris, supervisor |
| author_facet | Safa'ai Deris, supervisor Liew, Mei Jing |
| author_sort | Liew, Mei Jing |
| description | Also available in printed version |
| format | Bachelor thesis |
| id | utm-123456789-101417 |
| institution | Universiti Teknologi Malaysia |
| publishDate | 2025 |
| publisher | Universiti Teknologi Malaysia |
| record_format | dspace |
| record_pdf | Abstract |
| spelling | utm-123456789-1014172025-08-21T10:06:53Z Optimizing ethanol production in Escherichia Coli using particle swarm optimization Liew, Mei Jing Safa'ai Deris, supervisor Computing Also available in printed version Nowadays, metabolic engineering for biological production (biomass) in microorganism was widely used. This is due to the biomass are widely used in the field of food additives, pharmaceuticals, animal feed, supplements, cosmetics, and polymer materials. Hence, the demand of biomass is in huge amount. Therefore, there had a lot of new researches for produce the biomass in the huge amount for sufficient used. In this research, only focus on the ethanol production in Escherichia coli. Naturally, the ethanol produced in Escherichia coli was under anaerobic condition which means the condition without oxygen. Besides that, there had a lot of metabolic engineering techniques to produce the ethanol in Escherichia coli such as gene knockout strategy. The gene knockout strategy applied for ethanol production in Escherichia coli can be aerobic or anaerobic condition. The technique that proposed in this research was a hybrid algorithm of Particle Swarm Optimization with Flux Balance Analysis (PSOFBA). Particle Swarm Optimization as an optimization algorithm based on the movement for birds flocking or fish school around their food sources. For the evaluation fitness part, the method that used is Flux Balance Analysis which is to calculate the fitness such as growth rate of an organism and production rate of a biomass atiff UTM 104 p. Project Paper (Sarjana Muda Sains Komputer (Bioinformatik)) - Universiti Teknologi Malaysia, 2013 2025-04-10T04:41:28Z 2025-04-10T04:41:28Z 2013 Bachelor thesis https://utmik.utm.my/handle/123456789/101417 valet-20161109-145857 vital:92468 Closed Access UTM Complete Unpublished application/pdf Universiti Teknologi Malaysia |
| spellingShingle | Computing Liew, Mei Jing Optimizing ethanol production in Escherichia Coli using particle swarm optimization |
| thesis_level |
Other
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| title | Optimizing ethanol production in Escherichia Coli using particle swarm optimization |
| title_full | Optimizing ethanol production in Escherichia Coli using particle swarm optimization |
| title_fullStr | Optimizing ethanol production in Escherichia Coli using particle swarm optimization |
| title_full_unstemmed | Optimizing ethanol production in Escherichia Coli using particle swarm optimization |
| title_short | Optimizing ethanol production in Escherichia Coli using particle swarm optimization |
| title_sort | optimizing ethanol production in escherichia coli using particle swarm optimization |
| topic | Computing |
| url | https://utmik.utm.my/handle/123456789/101417 |
| work_keys_str_mv | AT liewmeijing optimizingethanolproductioninescherichiacoliusingparticleswarmoptimization |