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首页> 外文期刊>Journal of Analytical Atomic Spectrometry >A critical review of the analysis of dried blood spots for characterizing human exposure to inorganic targets using methods based on analytical atomic spectrometry
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A critical review of the analysis of dried blood spots for characterizing human exposure to inorganic targets using methods based on analytical atomic spectrometry

机译:基于分析原子光谱法,用方法对干燥血斑分析的关键综述

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摘要

Dried blood spots (DBS) are well established in clinical laboratory medicine and are used to screen newborn babies for a large number of metabolomic disorders. More than 50 years ago, early attempts to analyze DBS for Pb content identified several major limitations, which continued to be reported on for decades, including the unknown volume of blood deposited, the tendency of red blood cells to accumulate at the periphery of the spot and contamination errors. The historical literature on DBS blood Pb measurement is replete with competing claims for success as well as reports on the limitations for screening and diagnostic purposes. The range of spectroscopic techniques used to measure Pb in DBS includes atomic absorption spectrometry and inorganic mass spectrometry. There is a broad consensus that the analysis of archived DBS samples from newborn screening programs suffers from sporadic background contamination for many elements, the magnitude of which makes such samples unreliable for biomonitoring studies. Yet, the introduction of inorganic mass spectrometry into clinical laboratories provides the potential for multielement analysis of DBS. For some elements that are present at relatively high concentrations, such as Ca, Cs, Cu, Fe, K, Mg, Na, P, Rb, S and Zn, reasonable data may be feasible on archived DBS that are stored appropriately. However, for biomonitoring studies, analysis of DBS for many trace elements is fraught with contamination errors, inadequate limits of detection and a lack of well validated field-based studies. This is particularly true for Pb, Cd and Hg, for which only crude screening for acutely elevated levels can be useful. But for other elements such as Cu, Zn, Se, there may well be some value in using prospectively collected DBS to obtain population-based data. More recent developments with volumetric absorptive devices and microfluidic devices address some of the limitations inherent in DBS analysis and hold more promise for achieving reliable measurements of elemental content, but more work is needed to characterize background contamination, especially under real-world field conditions. In conjunction with well established capillary blood collection devices, these new technologies may provide better approaches to obtaining reliable environmental exposure information in the future for prospectively collected samples in population-based studies.
机译:干血斑(DBS)在临床实验室医学中得到了很好的成熟,用于筛选新生婴儿用于大量代谢组织。超过50年前,提前尝试分析PB内容的DBS,确定了几十年的几个主要限制,包括未知的血液量,红细胞在现场周边积累的趋势和污染错误。 DBS血液PB测量的历史文献与竞争索赔的成功索赔以及关于筛选和诊断目的的局限性的报道。用于测量DBS中Pb的光谱技术的范围包括原子吸收光谱法和无机质谱。普遍共识,即新生儿筛查计划的存档DBS样品的分析遭受了许多元素的零星背景污染,其幅度使得生物监测研究不可靠。然而,将无机质谱引入临床实验室提供了DBS多元素分析的可能性。对于以相对高浓度存在的一些元素,例如Ca,Cs,Cu,Fe,K,Mg,Na,P,Rb,S和Zn,可以在适当地存储的存档DB上可行的合理数据。然而,对于生物监测研究,对于许多微量元素的DBS分析被污染误差充满了污染误差,检测限率不足,缺乏良好的基于​​验证的基础研究。对于Pb,Cd和Hg来说尤其如此,因为它仅用于急性升高的水平的原油筛选可能是有用的。但是对于诸如Cu,Zn,Se的其他元素,在使用预期收集的DB以获得基于群体的数据的情况下可能存在一些值。更新具有体积吸收装置和微流体设备的发展解决了DBS分析中固有的一些限制,并更有希望实现元素内容的可靠测量,但需要更多的工作来表征背景污染,特别是在现实世界的现场条件下。结合成熟的毛细血流收集装置,这些新技术可以在未来收集基于人群的研究中的未来获得可靠的环境暴露信息来提供更好的方法。

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  • 来源
    《Journal of Analytical Atomic Spectrometry》 |2020年第10期|2092-2112|共21页
  • 作者单位

    Division of Environmental Health Sciences Wadsworth Center New York State Department of Health Albany NY USA Department of Environmental Health Sciences University at Albany State University of New York Albany NY USA;

    Division of Environmental Health Sciences Wadsworth Center New York State Department of Health Albany NY USA Department of Environmental Health Sciences University at Albany State University of New York Albany NY USA;

    Exposure Response and Technology Branch Division of Extramural Research and Training National Institute of Environmental Health Sciences Research Triangle Park NC USA;

    institute for Risk Analysis and Risk Communication Department of Environmental and Occupational Health Sciences University of Washington Seattle WA USA;

    institute for Risk Analysis and Risk Communication Department of Environmental and Occupational Health Sciences University of Washington Seattle WA USA;

    Department of Environmental Health Sciences School of Public Health University of Michigan Ann Arbor MI USA;

    Division of Environmental Health Sciences Wadsworth Center New York State Department of Health Albany NY USA Department of Environmental Health Sciences University at Albany State University of New York Albany NY USA;

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