2017
DOI: 10.1111/ggr.12162
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Quantifying Heterogeneity of Small Test Portion Masses of Geological Reference Materials by Portable XRF Spectrometry: Implications for Uncertainty of Reference Values

Abstract: There is an increasing use of analytical macro‐beam techniques (such as portable XRF, PXRF) for geochemical measurements, as a result of their convenience and relatively low cost per measurement. Reference materials (RMs) are essential for validation, and sometimes calibration, of beam measurements, just as they are for the traditional analytical techniques that use bulk powders. RMs are typically supplied with data sheets that tabulate uncertainties in the reference values by element, for which purpose they a… Show more

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Cited by 8 publications
(8 citation statements)
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“…More realistically, the certified value would be established independently using bulk samples of the RM (e.g., δ 18 O by gas source MS). The uncertainty on the certified value for a ‘microbeam’ technique (U CV beam ) could be estimated (potentially by just a single elite SIMS laboratory) by including the extra variance caused by the heterogeneity at the specified microscale U HETbeam , adjusted for the specified number of replicates ‘ n ’ using Equation , in a way analogous to that recently described for small beam PXRF (Rostron and Ramsey ).…”
Section: Discussionmentioning
confidence: 99%
“…More realistically, the certified value would be established independently using bulk samples of the RM (e.g., δ 18 O by gas source MS). The uncertainty on the certified value for a ‘microbeam’ technique (U CV beam ) could be estimated (potentially by just a single elite SIMS laboratory) by including the extra variance caused by the heterogeneity at the specified microscale U HETbeam , adjusted for the specified number of replicates ‘ n ’ using Equation , in a way analogous to that recently described for small beam PXRF (Rostron and Ramsey ).…”
Section: Discussionmentioning
confidence: 99%
“…Details can be found in Graybill [8]. The equations below give the confidence intervals for a nested experimental design of size I × J × K where I is the number of targets, assumed to be drawn from a normal distribution with mean µ and variance 2 Target , J is the number of samples per target, with sampling variance 2 Sample , and K is the number of analyses per sample, with analytical variance 2 Analysis . MS Sample is the mean square of the middle (sampling) level…”
Section: The Duplicate Methods and The Analysis Of The Resulting Data mentioning
confidence: 99%
“…the extremes of the confidence interval) on these uncertainties would indicate whether the uncertainty estimates themselves were significantly different between different analytical methods. A further potential application is the comparison of analyte heterogeneity in materials, which can also be estimated using the duplicate method [2].…”
Section: Introductionmentioning
confidence: 99%
“…This 'undisturbed sample' has physical dimensions of volume and mass, which can be hard to estimate and, critically, may vary greatly among different analytes. For example, when making simultaneous in situ measurements of 19 elements by PXRF on pellets made of powdered silicates [4], the 'undisturbed sample' was estimated to have a mass ranging between 0.001 mg and 0.32 mg for Al and Ba respectively, for an 8 mm beam size.…”
Section: In Situ Measurement Methodsmentioning
confidence: 99%