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采用电感耦合等离子体质谱法(ICP-MS)和电感耦合等离子体发射光谱法(ICP-OES)分析人血清和全血中的矿物质含量:一种矿物组学方法的建立。

Analysis of human serum and whole blood for mineral content by ICP-MS and ICP-OES: development of a mineralomics method.

作者信息

Harrington James M, Young Daniel J, Essader Amal S, Sumner Susan J, Levine Keith E

机构信息

Trace Inorganics Department, Technologies for Industry and the Environment, RTI International, Research Triangle Park, NC, 27709, USA,

出版信息

Biol Trace Elem Res. 2014 Jul;160(1):132-42. doi: 10.1007/s12011-014-0033-5. Epub 2014 Jun 11.

Abstract

Minerals are inorganic compounds that are essential to the support of a variety of biological functions. Understanding the range and variability of the content of these minerals in biological samples can provide insight into the relationships between mineral content and the health of individuals. In particular, abnormal mineral content may serve as an indicator of illness. The development of robust, reliable analytical methods for the determination of the mineral content of biological samples is essential to developing biological models for understanding the relationship between minerals and illnesses. This paper describes a method for the analysis of the mineral content of small volumes of serum and whole blood samples from healthy individuals. Interday and intraday precision for the mineral content of the blood (250 μL) and serum (250 μL) samples was measured for eight essential minerals--sodium (Na), calcium (Ca), magnesium (Mg), potassium (K), iron (Fe), zinc (Zn), copper (Cu), and selenium (Se)--by plasma spectrometric methods and ranged from 0.635 to 10.1% relative standard deviation (RSD) for serum and 0.348-5.98% for whole blood. A comparison of the determined ranges for ten serum samples and six whole blood samples provided good agreement with literature reference ranges. The results demonstrate that the digestion and analysis methods can be used to reliably measure the content of these minerals and potentially of other minerals.

摘要

矿物质是无机化合物,对支持多种生物功能至关重要。了解生物样本中这些矿物质含量的范围和变异性,有助于洞察矿物质含量与个体健康之间的关系。特别是,矿物质含量异常可能是疾病的一个指标。开发用于测定生物样本矿物质含量的强大、可靠的分析方法,对于建立理解矿物质与疾病关系的生物学模型至关重要。本文描述了一种分析来自健康个体的少量血清和全血样本中矿物质含量的方法。通过等离子光谱法,对血液(250 μL)和血清(250 μL)样本中的八种必需矿物质——钠(Na)、钙(Ca)、镁(Mg)、钾(K)、铁(Fe)、锌(Zn)、铜(Cu)和硒(Se)——的矿物质含量进行了日间和日内精密度测定,血清的相对标准偏差(RSD)范围为0.635%至10.1%,全血的相对标准偏差范围为0.348%至5.98%。对十个血清样本和六个全血样本的测定范围与文献参考范围进行比较,结果吻合良好。结果表明,消化和分析方法可用于可靠地测量这些矿物质以及其他潜在矿物质的含量。

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