1887
PDF

Abstract

Summary

A simple system for routine monitoring of analytical uncertainties in the creation of large whole-rock geochemical databases is considered within the framework of traditional statistical approach to analytical quality control. The anorthosite-rapakivi-granite Korosten Pluton (Ukrainian shield) was used as the object of study. A representative sets of rock samples (N=134) and standards (N=61) were analyzed in parallel multiple times (n=6-9 and n=4-136, respectively) with major and trace elements content determination via WDXRF and EDXRF. Its targeted application leads to the following results: (1) minimization of systematic bias and effective control of current analytical accuracy; (2) realistic evaluation of analytical precision for a wide range of major and trace element concentrations, as well as their detection and quantitation limits determination; (3) resulting “precision vs. element content” dependencies characterize the entire generated database as a whole, and the set of corresponding equations becomes its individual “signature”. Implementation of such monitoring-based “signatures” for newly created geochemical databases is an obligatory condition for their successful application to solve a wide range of problems in the fields of geochemical modeling and prospecting, environmental monitoring, mineral raw materials quality assessment, geochemical well logging, etc.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.2025510219
2025-04-14
2026-02-06
Loading full text...

Full text loading...

/deliver/fulltext/2214-4609/2025/monitoring_2025/Mon25-219.html?itemId=/content/papers/10.3997/2214-4609.2025510219&mimeType=html&fmt=ahah

References

  1. Champion, D.C. et al. (2007). OZCHEM National Whole Rock Geochemistry Dataset. Geoscience Australia, Canberra. https://pid.geoscience.gov.au/dataset/ga/65464
    [Google Scholar]
  2. EksperiandovaL.P. (2010) Unconventional techniques in the analysis of functional materials and environmental objects. Kharkov: ISMA. 252 p. http://functmaterials.org.ua/contents/book/Eksperiandova.pdf
    [Google Scholar]
  3. FletcherW.K. (1981) Handbook of Exploration Geochemistry. Volume 1. Analytical methods in geochemical prospecting (Edited by G.J.S.Govett). Elsevier, 270 p. https://www.sciencedirect.com/handbook/handbook-of-exploration-geochemistry/vol/1/suppl/C
    [Google Scholar]
  4. LazarevaI. et al. (2019) Korosten Pluton (Ukrainian Shield): initial data bank oriented on geochemical modelling. XVIII International Conference “Geoinformatics: Theoretical and Applied Aspects” (Kyiv, Ukraine, 13–16May 2019). https://doi.org/10.3997/2214-4609.201902100
    [Google Scholar]
  5. LazarevaI. et al. (2023). Quality monitoring of strategic and critical mineral raw materials of Ukraine: optimal quantitative approach to complete mineral composition determination (iron ores of the BIF type as an example). XVII International Scientific Conference “Monitoring of Geological Processes and Ecological Condition of the Environment” (7–10 November 2023, Kyiv, Ukraine). https://doi.org/10.3997/2214-4609.2023520180
    [Google Scholar]
  6. PottsP.J. (1987) A handbook of silicate rock analysis. Springer Science & Business Media. 622 p. https://books.google.com.ua/books?id=xljtCAAAQBAJ&printsec=frontcover&redir_esc=y#v=onepage&q&f=false
    [Google Scholar]
  7. Shniukova, Ye. (2023). Granophyric texture as a possible indicator of magma water saturation and the depth of Didkovychi-type granites formation (Korosten pluton, Ukrainian Shield). XVII International Scientific Conference “Monitoring of Geological Processes and Ecological Condition of the Environment” (7–10 November 2023, Kyiv, Ukraine). https://doi.org/10.3997/2214-4609.2023520182
    [Google Scholar]
  8. ShnyukovS.E. et al. (2018). Geochemical model of precambrian granitoid magmatic evolution in the Korosten Pluton (Ukrainian Shield): petrogenetic aspects and genesis of complex ore mineralization in metasomatic zones, Visnyk of Taras Shevchenko National University of Kyiv. Geology. 2(81), 12–22. https://geology.bulletin.knu.ua/article/view/1359/1085
    [Google Scholar]
  9. Shnyukov, S. et al. [2019] Denudation as unique Earth Crust sampling procedure: additive effect of sedimentary differentiation and homogenization. XVIII International Conference “Geoinformatics: Theoretical and Applied Aspects” (13–16 May 2019, Kiev, Ukraine). https://doi.org/10.3997/2214-4609.201902102
    [Google Scholar]
  10. ShnyukovS.E. et al. [2021] Generalized 4-component Lithological Model and Possible Fields of its Application. XV International Scientific Conference “Monitoring of Geological Processes and Ecological Condition of the Environment” (17–19 November 2021, Kyiv, Ukraine). https://doi.org/10.3997/2214-4609.20215K2084
    [Google Scholar]
  11. Strong, D. et al. (2016) Petlab: New Zealand's national rock catalogue and geoanalytical database, New Zeal. J. Geol. Geophys., 53, 475–481. https://doi.org/10.1080/00288306.2016.1157086
    [Google Scholar]
  12. ThompsonM. (1983) Control procedures in geochemical analysis. In: Handbook of Exploration Geochemistry. Volume 2. Statistics and Data Analysis in Geochemical Prospecting (Edited by R.J.Howarth). Elsevier. P. 39–58. https://doi.org/10.1016/B978-0-444-42038-1.50008-3
    [Google Scholar]
/content/papers/10.3997/2214-4609.2025510219
Loading
/content/papers/10.3997/2214-4609.2025510219
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error