课题基金 / 基金详情

FluxProbe - Using biocatalysis for probing the functional space of single microbial catalysts

FluxProbe - Using biocatalysis for probing the functional space of single microbial catalysts
FluxProbe - 利用生物催化探测单一微生物催化剂的功能空间
批准号:
405352273
负责人:
Professor Dr. Andreas Schmid
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Units
财政年份:
2018
资助国家:
德国
项目状态:
已结题
起止时间:
2017-12-31 至 2022-12-31

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Whole-cell biocatalysts are powerful tools for organic synthesis due to their unmatched chiral and positional selectivity. But what is the contribution of the minimal catalytic unit, the single cell, to biocatalysis? Discrete rates for reactivity of individual cells, as well as mechanisms that control cellular functionality, are still largely unknown due to a lack of suitable analytics. Project 7 will establish a chip-based analytical framework for quantifying biocatalyst performance at the single cell level. By integrating microfluidic bioreactor technologies and miniaturized analytics for mass spectrometry of biocatalytic products, the conditions-dependent catalytic performance of single cells in terms will be evaluated quantitatively for the first time. However, catalytic products will not only be quantified, but also metabolically enriched with stable isotopes to serve as a metabolic probe (“flux probe”). With the power of mass spectrometry, the isotope labelling in the product molecules will reveal the catalytic network operation of the cell and finally enable connecting metabolic status with reactivity and extracellular reaction conditions. Key experiments performed in collaboration with the WG Belder already validated the feasibility of this concept.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
Capture and Release of Droplets Using Advanced Materials for High Technology Applications
  • 批准号:
    52073127
  • 项目类别:
    面上项目
  • 资助金额:
    58.0万元
  • 批准年份:
    2020
  • 负责人:
    Alidad Amirfazli
  • 依托单位:
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data