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首页> 外文期刊>Journal of Biotechnology >On-line monitoring of lipid storage in yeasts using impedance spectroscopy
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On-line monitoring of lipid storage in yeasts using impedance spectroscopy

机译：使用阻抗谱在线监测酵母中的脂质储藏

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Bioremediation technologies and many environmentally sound biosyntheses rely on the catalytic potential of whole cells. For analyzing and controlling such processes robust real-time indicators for the concentration of intact cells such as impedance are required. The conventional method measures the capacitances of cell suspensions at one or two frequencies and correlates them with biomass concentrations. However, cell inclusions such as lipid droplets or overproduced enzymes may block intracellular ion paths, thereby possibly modifying the dielectric properties of the cells. To test the hypothesis that the total impedance spectrum into the analysis may provide useful information about cell inclusions, the impedance spectrum of a technical culture of the oleaginous yeast Arxula adeninivorans was measured and evaluated every 15s. This yeast is a good test object since it stores the excess of assimilated carbon in experimentally controllable lipid droplets. Upon correction for possible impedance signal interferences, we derived different empirical methods suitable to indicate incipient lipid formation. The methods were designed to act on-line and are thus principally suited for real-time monitoring of cell inclusions. In search for optimised bioprocess monitoring we tested a heuristic spectrum analysis using integrative statistics (RDA). With this approach we were able to accurately detect the formation of cell inclusions, which is potentially valuable for future bioprocess control strategies.
机译：生物修复技术和许多对环境无害的生物合成都依赖于整个细胞的催化潜力。为了分析和控制这样的过程，需要鲁棒的实时指示器来指示完整细胞的浓度，例如阻抗。常规方法在一个或两个频率下测量细胞悬浮液的电容，并将其与生物质浓度相关联。但是，诸如脂质滴或过量产生的酶等细胞内含物可能会阻断细胞内离子路径，从而可能会改变细胞的介电特性。为了检验这一假设，即进入分析的总阻抗谱可以提供有关细胞内含物的有用信息，每15秒钟对油性酵母Arxula adeninivorans的技术培养物的阻抗谱进行测量和评估。该酵母是一个很好的测试对象，因为它在实验可控制的脂质液滴中存储了过量的同化碳。在对可能的阻抗信号干扰进行校正后，我们得出了适合指示初始脂质形成的不同经验方法。该方法设计为在线运行，因此主要适用于细胞内含物的实时监控。为了寻求最佳的生物过程监控，我们使用了集成统计（RDA）测试了启发式频谱分析。通过这种方法，我们能够准确地检测出细胞内含物的形成，这对于未来的生物过程控制策略具有潜在的价值。

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