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Calculation of extended uncertainty of sulfur determination results in iron ore raw materials using Monte Carlo method
https://doi.org/10.26896/1028-6861-2025-91-7-22-29
Abstract
According to the requirements of GOST ISO/IEC 17025–2019, accredited laboratories must use methods that have previously been validated or verified and calculate the extended uncertainty of measurement results in order to obtain reliable results of analysis. The extended uncertainty of the results of the iodometric determination of sulfur in accordance with GOST 32599.2–2013 was calculated using the numerical Monte Carlo method for the implementation of the described technique in laboratory practice. Using the Ishikawa diagram, sources of uncertainty were identified (repeatability, sampling, determination of the volume and concentration of the titrant solution, recalculation of the mass fraction of sulfur into its mass fraction in dry matter) and the contribution of each of them to the extended uncertainty of the result of determining sulfur in the range of 0.1 – 0.2% was quantified. The values of all uncertainty contributions were entered into an electronic MS Excel spreadsheet, and the analysis result and its extended uncertainty were calculated using created data arrays. The described calculation method is less laborious in comparison with the analytical one, and it can be used in any field where it is necessary to assess the reliability of measurement results.
About the Authors
Anastasia V. Sergeeva
Kombinat KMAruda JSC
Russian Federation
Russian Federation
Anastasia V. Sergeeva,
2, Artema ul., Gubkin, Belgorod oblast’, 309182.
Tatiana G. Yurakova
V. G. Shukhov Belgorod State Technological University
Russian Federation
Russian Federation
Tatiana G. Yurakova,
46, ul. Kostyukova, Belgorod, 308012.
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Review
For citations:
Sergeeva A.V., Yurakova T.G. Calculation of extended uncertainty of sulfur determination results in iron ore raw materials using Monte Carlo method. Industrial laboratory. Diagnostics of materials. 2025;91(7):22-29. (In Russ.) https://doi.org/10.26896/1028-6861-2025-91-7-22-29
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