Development of a combined mathematical and experimental approach for the design, evaluation and optimization of algae based bio-refinery processes

开发数学和实验相结合的方法来设计、评估和优化基于藻类的生物精炼工艺

• 批准号: 1807432
• 金额: --
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1807432
• 关键词: Development; combined; mathematical; experimental; approach

-Studying, understanding and quantifying the characteristics/traits that render an algae species a good candidate for bio-refinery type applications-Understanding algae cell metabolism and identifying both Metabolic and Bioprocess Engineering strategies that can increase yields and profitability of algae-based bio-refineries-Exploring the metabolic capabilities of algae and identifying environmental and process conditions that favour/optimize the synergistic generation of multiple product streamsBackground. Although a number of algal biomass conversion technologies have been recently commercialized (e.g., bio-diesel production, dry and wet algal biomass conversion technologies, etc.), it is clear that major economic and technical barriers still exist regarding the commercial feasibility of algal-based bioprocessing. Towards that end, the concept of algae based biorefineries is being pursued in order to enable the generation of secondary (and tertiary) fermentation product streams in an attempt to exploit the wide range of chemicals that can be produced by algae. Understanding algal metabolism and how it responds to varying environmental and bioprocessing conditions is an integral part of designing and optimizing an algae-based biorefinery. The aim of this project is the development of an integrated methodology combining Multi-scale Modelling, Metabolic Engineering and wet-lab experiments in order to: (i) Study algae cell metabolism under varying environmental and bioprocessing conditions (ii) Identify environmental conditions (i.e., media composition, feeding schedule, osmotic pressure) that cause shifts in the utilised catabolic pathways and affect product yields and diversity (iii) Combine metabolic modelling, (global) sensitivity analysis and design of experiments in order to derive fast, cost-effective, reliable and robust model-aided tests for the screening of multiple algal species and the selection of species better suited for industrial scale biorefinery applications (iv) Use of Systems Biology and Model Analysis techniques for the design and optimisation of cell culture media/conditions and feeding policies that lead to improved product yields.

- 研究，理解和量化使藻类物种成为生物限制类型的良好候选者的特征/特征，以了解藻类细胞代谢，并确定可以提高基于Algae的环境和良好的环境效果的新陈代谢和生物过程工程策略，以提高基于藻类的产量和盈利能力。多个产品流式环境的协同生成。尽管最近已经商业化了许多藻类生物量转化技术（例如，生物柴油生产，干燥和湿的藻类生物量转化技术等），但很明显，对于基于ALGAL的生物处理的商业可行性，仍然存在重大的经济和技术障碍。为此，正在追求基于藻类的生物精制的概念，以便能够产生二级（和第三级）发酵产品流，以试图利用藻类可以生产的广泛化学物质。了解藻类的代谢及其对不同环境和生物处理条件的反应是设计和优化基于藻类的生物填充剂的组成部分。 The aim of this project is the development of an integrated methodology combining Multi-scale Modelling, Metabolic Engineering and wet-lab experiments in order to: (i) Study algae cell metabolism under varying environmental and bioprocessing conditions (ii) Identify environmental conditions (i.e., media composition, feeding schedule, osmotic pressure) that cause shifts in the utilised catabolic pathways and affect product yields and diversity (iii) Combine代谢建模，（全球）实验的敏感性分析和设计，以获取快速，成本效益，可靠和健壮的模型辅助测试，用于筛选多种藻类物种，以及选择更适合工业规模生物灌木申请（IV）的物种（IV），以实现系统生物学和模型分析技术，以实现细胞培养媒体和供应媒体的设计和供应。