NDLI: Uncertainty from sample preparation in the laboratory on the example of various feeds

Content Provider	Springer Nature Link
Author	Korol, Waldemar Bielecka, Grażyna Rubaj, Jolanta Walczyński, Sławomir
Copyright Year	2015
Abstract	A way of uncertainty calculation from test sample preparation in the laboratory was presented on the example of feeds. The essence of the proposal lies in separating two components of results’ variability expressed as coefficient of variation CV p: analytical variability CV a (repeatability) and technical variability CV h corresponding with the inhomogeneity of a component. The law of Gauss’s error propagation was used. Analytical variability CV a was calculated from the range of duplicate analyses, following Nordtest Handbook. It was assumed that the coefficient of technical variability CV h is the measure of the standard uncertainty from sample preparation in the uncertainty budget of a method u s+h, and expanded uncertainty U s+h for k = 2 (P = 95 %) can be easily calculated as U s+h = 2 u s+h. Calculated uncertainties with uncertainties from sample preparation for loose feed and no ground premixture have increased from 4 to 125 % and were higher than analytical uncertainties calculated acc. to GUM during validation of methods. In the case of granulated feed mixture, the obtained uncertainties were similar. Grinding the premix results in lower uncertainties. Uncertainty from sample preparation should be taken into account in the uncertainty budget of a test method, especially in the case of inhomogeneity of tested materials.
Starting Page	61
Ending Page	66
Page Count	6
File Format	PDF
ISSN	09491775
Journal	Accreditation and Quality Assurance
Volume Number	20
Issue Number	1
e-ISSN	14320517
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2015-01-08
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Sample preparation Analytical variability Technical variability Uncertainty Feedingstuffs Analytical Chemistry Food Science Biochemistry Commercial Law Ecotoxicology Marketing
Content Type	Text
Resource Type	Article
Subject	Chemistry Instrumentation Chemical Engineering Safety, Risk, Reliability and Quality

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