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Automated Parallel Bioreactor Systems for High Throughput Optimization of Bioengineered Processes

Automated Parallel Bioreactor Systems for High Throughput Optimization of Bioengineered Processes
用于生物工程过程高通量优化的自动化并行生物反应器系统
批准号:
RTI-2021-00463
负责人:
Brar, Satinder
金额:
$10.69万
依托单位:
依托单位国家:
加拿大
项目类别:
Research Tools and Instruments
财政年份:
2020
资助国家:
加拿大
项目状态:
已结题
起止时间:
2020-01-01 至 2021-12-31

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中文摘要
翻译
全自动平行生物反应器系统可控制和监督多个平行生物反应器,实现高通量生物处理,同时与外部传感器和代谢物分析仪集成,实现生物过程的在线定性和定量分析。生物工程技术在不同的领域,如工业微生物学,环境科学,生物化学和结构生物学,地质环境工程等,都严重依赖于高效,高功能的微生物,可以催化特定的生化反应,在优化的反应条件下,以最佳的速率。这需要大量的实验来实现最佳的微生物设计、基质制备和反应条件(培养基设计)以及工艺开发到技术规模(工艺设计)。并行生物反应器系统能够快速、可扩展和并行优化这三种设计,从而提供集成的工艺开发,并促进开发时间表的缩短、总成本的降低和实验效率的提高。与智能传感器和代谢物分析仪的集成为实时微生物培养和过程监控提供了机会,从而更深入地了解过程,以实现稳健性和可扩展性。这种在线监测和控制功能将允许分批补料和连续设计的稳健发展,这是工业生物加工中的标准,从而实现更快的工艺放大。此外,这种先进的分析也有助于在并行测试方法下揭示新的代谢途径。这些将为新的微生物工艺和生物催化方法铺平道路,通过生产生物基产品来促进加拿大的生物基经济;并为环境,岩土工程和土壤科学应用开发更新,更绿色的技术。此外,约克大学的7名关键研究人员和至少5名合作者将频繁使用该系统,每年培训至少15名HQP,验证全自动生物反应器系统的需求和紧迫性。
英文摘要
Fully automated parallel bioreactor systems with control and supervision of multiple bioreactors in parallel allows high throughput bioprocessing while its integration with external sensors and metabolite analyzers enables in-line qualitative and quantitative analyses of bioprocesses. Bioengineered technologies in diverse fields such as industrial microbiology, environmental science, biochemistry and structural biology, geoenvironmental engineering etc. are critically dependent on efficient, high functioning microbes which can catalyse specific biochemical reactions at optimal rates under optimized reaction conditions. This requires extensive experimentation to achieve optimal microbe design, substrate preparation and reaction conditions (medium design) and process development to a technical scale (process design). Parallel bioreactor systems enable a rapid, scalable and parallel optimization of these three designs, thereby providing an integrated process development and facilitating a decrease in developmental timelines, reduction in overall cost and increase in experimental efficiency. Integration with smart sensors and metabolite analyzers provides the opportunity for microbial culture and process monitoring in a real-time manner which leads to a deeper process understanding for robustness and scalability. This in-line monitoring and control functionality will allow robust development of fed-batch and continuous designs which is a norm in industrial bioprocessing, thereby enabling a faster process scale-up. In addition, such advanced analytics can also be beneficial to unravel novel metabolic pathways under a parallel testing approach. These will pave the way for novel microbial processes and biocatalytic methods to boost the Canadian bio-based economy via production of bio-based products; and developing newer, greener technologies for environmental, geotechnical and soil science applications. Further, 7 key researchers and at least 5 collaborators at York University will be using the system on an intense frequency basis, training at least 15 HQP per year, validating the need and urgency of the fully automated bioreactor system.
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会议论文
Fate and transport of evolving antibiotics and their removal using novel bio-oxidation technologies
  • 批准号:
    RGPIN-2020-06067
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $5.32万
  • 财政年份:
    2022
  • 负责人:
    Brar, Satinder
  • 依托单位:
Fate and transport of evolving antibiotics and their removal using novel bio-oxidation technologies
  • 批准号:
    RGPIN-2020-06067
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $5.32万
  • 财政年份:
    2021
  • 负责人:
    Brar, Satinder
  • 依托单位:
Fate and transport of evolving antibiotics and their removal using novel bio-oxidation technologies
  • 批准号:
    RGPIN-2020-06067
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $5.32万
  • 财政年份:
    2020
  • 负责人:
    Brar, Satinder
  • 依托单位:
Novel approach to production of high-value biochemicals and simultaneous removal of emerging contaminants using waste biomass by biofilm reactors
  • 批准号:
    355254-2013
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.75万
  • 财政年份:
    2019
  • 负责人:
    Brar, Satinder
  • 依托单位:
国内基金
海外基金
强流低能加速器束流损失机理的Parallel PIC/MCC算法与实现