Subcommunity FTIR-spectroscopy to determine physiological cell states.

Subcommunity FTIR-spectroscopy to determine physiological cell states.
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DOI:
10.1016/j.copbio.2012.09.008
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发表时间:
2013-02
影响因子:
7.7
通讯作者:
Heiko Wagner;S. Dunker;Zhixin Liu;C. Wilhelm
Heiko Wagner;S. Dunker;Zhixin Liu;C. Wilhelm
中科院分区:
工程技术1区
文献类型:
--
作者:
Heiko Wagner;S. Dunker;Zhixin Liu;C. Wilhelm

文献摘要

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在生物技术过程和环境水质控制中,估算复杂群落的生长潜力是一个巨大的挑战。近年来研究表明,浮游植物的大分子结构是浮游植物细胞生长潜力的良好指标。要了解天然浮游植物群落的功能,就需要利用单颗粒技术进行群落分析。然而,传统的生化方法不够灵敏,无法确定单个细胞或细胞聚集体的大分子组成。这个问题可以通过傅里叶变换红外(FTIR)光谱来解决,它可以提供类似于生化分析的结果,但样本量要小得多。流式细胞分析与亚群落分类以及随后的ftir分析相结合的方法为理解群落功能和过程优化提供了新的视角。
Estimation of growth potential in a complex community is a great challenge in biotechnical processes and environmental water quality control. Recently it has been shown that the macromolecular structure is a good indicator for the growth potential of phytoplankton cells. A functional understanding of natural phytoplankton communities requires a community analysis by means of single particles technologies. However, conventional biochemical methods are not sensitive enough to determine the macromolecular composition of a single cell or cell aggregates. This problem can be resolved by Fourier transform infrared (FTIR) spectroscopy, which delivers results similar to biochemical analysis with a much smaller sample size. The combined approach of flow cytometric analysis with subcommunity sorting and subsequent FTIR-analysis offers new perspectives for the understanding of community functioning and process optimization.