지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2014.10
- 수록면
- 1,534 - 1,539 (6page)
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초록· 키워드
오류제보하기
Identifying the mechanism for and predicting the metabolic shift between lipid accumulation and cell growth is a key research issue for microalgal biodiesel production. In this study, we propose a novel way to integrate a metabolic network model with a semi-empirical model (called “Droop model”) for predicting the lipid accumulation and cell growth simultaneously. At each time instant of mass balance model integration, the Droop model is used to predict the cell growth rate. Then, the Flux Balance Analysis (FBA) model is used to predict the rate of lipid accumulation, which is biochemically consistent with the predicted growth rate. In order to test the validity of the proposed approach, experiments are conducted for growing microalgae specie C. reinhardtii in a batch photo-bioreactor. Droop model’s parameters are estimated using the gathered data and model predictions for the lipid contents are verified. Parameter sensitivity analysis is conducted to investigate how the various parameters affect the cell growth and lipid accumulation.
목차
Abstract
1. INTRODUCTION
2. PROBLEM DEFINITION
3. METHOD
4. RESERT AND DISCUSSION
5. CONCLUSIONS
REFERENCES
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