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首页> 外文期刊>Plant and cell physiology >Simultaneous Measurement of the Silicon Content and Physiological Parameters by FTIR Spectroscopy in Diatoms with Siliceous Cell Walls
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Simultaneous Measurement of the Silicon Content and Physiological Parameters by FTIR Spectroscopy in Diatoms with Siliceous Cell Walls

机译:FTIR光谱法同时测量硅质硅质硅壁的硅含量和生理参数

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Diatoms are the most successful biomass producers worldwide. Therefore, physiological and chemical methods to measure the cell response to a variety of abiotic factors are the focus of recent research. We used the two model diatoms Cyclotella meneghiniana and Skeletonema costatum for the development of Fourier transform infrared (FTIR) spectroscopy-based methods to measure simultaneously the elemental composition of the cells and their cell-specific physiological properties. The cells were grown in chemostat cultures to study the response of Si limitation. The model organisms showed different reactions in terms of their cell properties. Si limitation was accompanied by a drop in the growth rate, a reduced content in Si per cell and a decreased Si:C ratio. Furthermore, the C allocation pattern was changed in both diatoms under Si limitation, as shown by FTIR spectroscopy. Moreover, we used FTIR spectra to develop PLS (partial least square) regression methods to predict the Si content and the Si:C ratio for single as well as multiple species. All PLS regression models were validated by standard chemical methods and showed good prediction accuracy, with the coefficient of determination R2 being >=0.93. We could show that it is possible to monitor phytoplankton properties such as C allocation, the Si content and the Si:C ratio at the same time via FTIR spectroscopy.
机译:硅藻是全球最成功的生物质生产商。因此,测量细胞对多种非生物因子响应的生理和化学方法是近期研究的重点。我们使用两种模式的硅藻硅藻Cycletella meneghiniana和Skeletonema costatum来开发基于傅立叶变换红外(FTIR)光谱的方法,以同时测量细胞的元素组成及其细胞特异性生理特性。细胞在化学恒温培养物中生长以研究Si限制的响应。模式生物在细胞特性方面表现出不同的反应。 Si限制伴随着生长速率的下降,每个单元中Si含量的减少和Si∶C比的降低。此外,如FTIR光谱所示,在Si限制下,两个硅藻中的碳分配模式均发生了变化。此外,我们使用FTIR光谱开发了PLS(偏最小二乘)回归方法,以预测单个和多个物种的Si含量和Si:C比。所有PLS回归模型均通过标准化学方法验证,并具有良好的预测准确性,测定系数R 2

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