Kinetic modeling of Methylocystis sp. MJC1 growth under varying methane and oxygen concentrations
- 발행기관 서강대학교 일반대학원
- 지도교수 나정걸
- 발행년도 2025
- 학위수여년월 2025. 8
- 학위명 석사
- 학과 및 전공 일반대학원 화공생명공학과
- 실제 URI http://www.dcollection.net/handler/sogang/000000082020
- UCI I804:11029-000000082020
- 본문언어 영어
- 저작권 서강대학교 논문은 저작권 보호를 받습니다.
초록 (요약문)
Methanotrophs, which utilize methane as their sole carbon and energy source, have garnered attention as a promising biotechnological platform for greenhouse gas (GHG) mitigation and the biosynthesis of value-added products. To enable the rational design and optimization of methanotrophic bioprocesses, a quantitative understanding of microbial growth and substrate consumption kinetics is essential. In this study, a two-stage fermentation system—comprising a chemostat stage followed by a batch stage—was established to overcome the challenges posed by the low solubility and mass transfer limitations of gaseous bisubstrates (methane and oxygen). The chemostat stage enabled the continuous cultivation of metabolically active cells, which were subsequently used to inoculate the batch stage, thereby ensuring high initial activity and reproducibility. Based on experimental data obtained from this system, we derived a kinetic model for Methylocystis sp. MJC1, showing kinetic characteristics in line with expectations based on methane monooxygenases (MMOs), the key enzymes in methane oxidation. The model’s predictive validity was further assessed by comparing simulation outcomes with independent batch cultivation data, demonstrating its applicability for process modeling and optimization.
more목차
1. Introduction 11
2. Material and Methods 15
2.1. Strain and media 15
2.2. Two-stage fermentation 16
2.3. Batch fermentation 19
2.4. Analytic method 19
3. Results and Discussion 20
3.1. 1st stage: Chemostat 20
3.2. 2nd stage: Batch cultures 21
3.2.1. Concentrations of gaseous substrates in the cultivation media 21
3.2.2. CH4-O2 ratio-based experimental design 24
3.2.3. Revised experimental design for kinetic model development 27
3.3. Establishment of a kinetic model for Methylocystis sp. MJC1 30
3.4. Model simulation for batch culture 39
4. Conclusion 42
5. References 43
