The use of reference materials in the elemental analysis of biological samples.

Atomic energy review Pub Date : 1975-09-01
H J Bowen
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Abstract

Reference materials (RMs) are useful to compare the accuracy and precision of laboratories and techniques. The desirable properties of biological reference materials are listed, and the problems of production, homogenization and storage described. At present there are only 10 biological RMs available compared with 213 geological and 520 metallurgical RMs. There is a need for more biological RMs including special materials for microprobe analysis and for in vivo activation analysis. A study of 650 mean values for elements in RM Kale, analysed by many laboratories, leads to the following conclusions. 61% of the values lie within +/- 10% of the best mean, and 80% lie within +/- 20% of the best mean. Atomic absorption spectrometry gives results that are 5-30% high for seven elements, while instrumental neutron activation analysis gives low and imprecise results for K. Other techniques with poor interlaboratory precision include neutron activation for Mg, polarography for Zn and arc-spectrometry for many elements. More than half the values for elements in Kale were obtained by neutron activation, confirming the importance of this technique and the need for RMs. As a rough estimate, 6 X 10(9) elemental analyses of biological materials are carried out each year, mostly by medical, agricultural and food scientists. It seems likely that a substantial percentage of these are inaccurate, a situation that might be improved by quality control using standard RMs.

参考物质在生物样品元素分析中的应用。
参考物质(RMs)用于比较实验室和技术的准确度和精密度。列出了生物标准品的理想性能,并描述了生产、均质和储存方面的问题。与213个地质资源库和520个冶金资源库相比,目前仅有10个生物资源库可用。需要更多的生物RMs,包括用于微探针分析和体内活化分析的特殊材料。许多实验室分析了羽衣甘蓝中650个元素的平均值,得出以下结论。61%的值在最佳均值的+/- 10%范围内,80%在最佳均值的+/- 20%范围内。原子吸收光谱法对7种元素的结果高5-30%,而仪器中子活化分析对k的结果低且不精确。其他实验室间精度较差的技术包括对Mg的中子活化,对Zn的极谱分析和对许多元素的弧谱分析。羽衣甘蓝中超过一半的元素值是通过中子活化获得的,这证实了该技术的重要性和对均方根的需求。据粗略估计,每年对生物材料进行6 × 10(9)次元素分析,主要由医学、农业和食品科学家进行。这些数据中很可能有很大一部分是不准确的,这种情况可以通过使用标准均方根的质量控制来改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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