Appl Environ Microbiol. 1995 Apr;61(4):1357-62. doi: 10.1128/aem.61.4.1357-1362.1995.
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.
已经开发出一种基于 X 射线微量分析(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。除氢以外的所有主要元素都可以同时测量。XRMA 为处于静止期和生长期的大肠杆菌提供的 N/C 比值(平均值的标准误差)分别为 0.23(plusmn)0.01 和 0.30(plusmn)0.01,而 CHN 分析分别为 0.276 和 0.307,用于来自相同培养物的样品。对来自 Emiliana huxleyi 的自由颗石藻的分析提供了接近 CaCO(inf3)的重量分数:0.35(plusmn)0.01、0.15(plusmn)0.01 和 0.47(plusmn)0.01,分别为钙、碳和氧。校准基于单分散乳胶珠和微滴定义的化合物。大小范围为 5 fg 至 500 pg 的颗粒中的元素以相对精度在 500 至 5000 ppm 之间进行测量,具体取决于大小。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。基于形态和 XRMA,可以比批量方法更精确地将颗粒分类为不同的组(例如,生物与非生物)。单细胞元素分析可以提供有关营养和能量状态、大分子组成以及(通过多元统计)群落结构等主题的深入了解。