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Light Element Analysis of Individual Bacteria by X-Ray Microanalysis

机译:通过X射线显微分析对单个细菌进行轻元素分析

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摘要

A method based on X-ray microanalysis (XRMA) with the transmission electron microscope for measurement of total amounts of elements in single microbial cells has been developed. All major elements in cells except hydrogen can be measured simultaneously. XRMA provided N/C ratios (means (plusmn) standard errors of the mean) for stationary-phase and growing Escherichia coli of 0.23 (plusmn) 0.01 and 0.30 (plusmn) 0.01, respectively, while CHN analysis gave values of 0.276 and 0.307, respectively, for samples from the same cultures. Analyses of free coccoliths from Emiliana huxleyi provided weight fractions close to those of CaCO(inf3): 0.35 (plusmn) 0.01, 0.15 (plusmn) 0.01, and 0.47 (plusmn) 0.01 for calcium, carbon, and oxygen, respectively. Calibration is based on monodisperse latex beads and on microdrops of defined compounds. Elements in particles in the size range from 5 fg to 500 pg are measured with a relative precision between 500 and 5,000 ppm, depending on size. As a single-cell method, XRMA avoids the shortcomings of commonly used fractionation techniques associated with bulk methods, which are based on centrifugation or filtration. On the basis of morphology and XRMA, particles may be classified more precisely into groups (e.g., biotic versus abiotic) than is possible by bulk methods. Single-cell elemental analysis may provide insight into topics like nutritional and energetic status, macromolecular composition, and (by multivariate statistics) community structure.
机译:已开发出一种基于X射线微分析(XRMA)和透射电子显微镜的方法,用于测量单个微生物细胞中元素的总量。电池中除氢以外的所有主要元素都可以同时测量。 XRMA提供的固定相和成长型大肠杆菌的N / C比(平均值的(平均)标准误差)分别为0.23(最大)0.01和0.30(最大)0.01,而CHN分析得出的数值为0.276和0.307,分别来自相同文化的样本。对Emiliana huxleyi的游离球石的分析提供的重量分数接近CaCO(inf3):钙,碳和氧的重量分数分别为0.35(最大)0.01、0.15(最大)0.01和0.47(最大)0.01。校准基于单分散乳胶珠和所定义化合物的微滴。根据尺寸,以5至500 pg的颗粒尺寸范围内的元素以500至5,000 ppm的相对精度进行测量。作为单细胞方法,XRMA避免了与基于离心或过滤的批量方法相关的常用分馏技术的缺点。基于形态学和XRMA,与通过批量方法可能实现的相比,可以将颗粒更精确地分为几类(例如,生物与非生物)。单细胞元素分析可提供有关营养和能量状态,大分子组成和(通过多元统计)社区结构等主题的见解。

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