Bottom-up uncertainty evaluation of complex measurements from correlated performance data: Determination of total Cr in yeast by ICP-MS after acid digestion

IF 9.8 1区农林科学 Q1 CHEMISTRY, APPLIED

Food Chemistry Pub Date : 2023-03-15 DOI:10.1016/j.foodchem.2022.134466

Tomáš Pluháček , Radka Pechancová , David Milde , Ricardo J.N. Bettencourt da Silva

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Abstract

The objective interpretation of a measurement result requires knowing the associated uncertainty. The cost-effective collection of measurement performance data on the same day produces correlated values that can affect measurement uncertainty evaluation. This work describes a novel methodology for the bottom-up evaluation of measurements based on complex sample pretreatment and the instrumental quantification of the prepared sample applicable to correlated inputs. The numerical Kragten method is used to combine the uncertainty components shared in various analyte recovery determinations. The developed methodology was applied to the determination of total chromium in yeast samples by ICP-MS after microwave-assisted acid digestion. The developed analysis of yeast samples is fit for monitoring the contamination of this product since it is associated with a relative expanded uncertainty, U’, lower than 20%, ranging from 8.4% to 10.0% in determinations of Cr between 0.125 mg/kg and 305.5 mg/kg. Duplicate analyses are adequate for reference materials production (U′ < 7%).

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基于相关性能数据的复杂测量的自下而上不确定度评估:酸消化后用ICP-MS测定酵母中总铬

客观地解释测量结果需要知道相关的不确定度。在同一天有效地收集测量性能数据会产生影响测量不确定度评定的相关值。这项工作描述了一种基于复杂样品预处理和适用于相关输入的制备样品的仪器量化的自下而上的测量评估的新方法。数值Kragten方法用于组合各种分析物回收率测定中共享的不确定度分量。将所建立的方法应用于微波辅助酸消化后酵母样品中总铬的ICP-MS测定。所开发的酵母样品分析适合监测该产品的污染，因为它与相对扩展不确定度U '相关，U '低于20%，在0.125 mg/kg和305.5 mg/kg之间的Cr的测定范围为8.4%至10.0%。重复分析足以用于标准物质的生产(U ' <7%)。

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来源期刊

Food Chemistry 工程技术-食品科技

CiteScore

16.30

自引率

10.20%

发文量

3130

审稿时长

122 days

期刊介绍： Food Chemistry publishes original research papers dealing with the advancement of the chemistry and biochemistry of foods or the analytical methods/ approach used. All papers should focus on the novelty of the research carried out.