Preview

Industrial laboratory. Diagnostics of materials

Advanced search
Open Access Open Access  Restricted Access Subscription Access

Specificity and practice of validation of forensic methods

https://doi.org/10.26896/1028-6861-2026-92-7-19-29

Abstract

The metrological validation of forensic methods is an effective precedure for confirming the reliability of the results obtained for researching forensic objects. The lack of a regulatory framework requires a study of the validation methodology and the specifics of forensic methods. In connection with two types of controlled indicators (quantitative and qualitative), the methods are divided into two types: forensic measurement methods (FMM) and testing methods (FTM). It was shown that the validation of FMM coincides with the corresponding procedure for quantitative chemical analysis methods. The specifics of validation of forensic testing methods related to parameters (requirements for targeted use) and the organization of the experiment were considered. Specific examples of the use of blind tests in the validation procedure are given. Statistical evaluation of the reliability parameter of the test method is based on the calculation of the number of false/true results. A terminology and formulas for calculating different indicators of false/true positive/negative results of qualitative testing are presented. The possibilities of assessing the reliability limits of validation results of the FMM and FTM methods, as well as the results of measurements in comparative studies of the objects of expertise for solving identification problems are shown. The specifics of validation of forensic methods used in threshold tests have been studied in detail and shown.

About the Authors

G. I. Bebeshko
Professor A. R. Shlyakhov Russian Federal Centre of Forensic Science of the Ministry of Justice of the Russian Federation
Russian Federation

Galina I. Bebeshko

10 str. 1, 4-i Krutitsky per., Moscow, 109044



G. G. Omel’yanyuk
Professor A. R. Shlyakhov Russian Federal Centre of Forensic Science of the Ministry of Justice of the Russian Federation; Bauman Moscow State Technical University; Lomonosov Moscow State University, Faculty of Biology
Russian Federation

Georgii G. Omel’yanyuk

10 str. 1, 4-i Krutitsky per., Moscow, 109044

5 str. 4, 2-ya Baumanskaya ul., Moscow, 105005

1 str. 12, Leninskie Gory, Moscow, 119991



A. I. Usov
Professor A. R. Shlyakhov Russian Federal Centre of Forensic Science of the Ministry of Justice of the Russian Federation; Bauman Moscow State Technical University; All-Russian State University of Justice
Russian Federation

Aleksandr I. Usov

10 str. 1, 4-i Krutitsky per., Moscow, 109044

5 str. 4, 2-ya Baumanskaya ul., Moscow, 105005

2 korp. 1, Azovskaya ul., Moscow, 117638



M. V. Nikulina
Professor A. R. Shlyakhov Russian Federal Centre of Forensic Science of the Ministry of Justice of the Russian Federation
Russian Federation

Marina V. Nikulina

10 str. 1, 4-i Krutitsky per., Moscow, 109044



References

1. Smirnova S. A., Omel’yanuk G. G., Miklyaeva O. V. Expert’s methodic / S. A. Smirnova, ed. Forensic Expertise: Reboot. Part II. Encyclopedic Dictionary of the Theory of Forensic Science. — Moscow: EKOM, 2012. P. 184 – 185 [in Russian].

2. ISO 9000:2015. Quality management systems — Fundamentals and vocabulary. https://www.iso.org/standard/45481.html (accessed March 25, 2026).

3. ISO/IEC 17025:2017. General requirements for the competence of testing and calibration laboratories. https://www.iso.org/standard/66912.html (accessed March 25, 2026).

4. Bebeshko G. I., Omel’yanyuk G. G., Usov A. I., Nikulina M. V. Fundamentals of applying mathematical statistics methods in forensic examination. — Moscow: Shlyakhov RFCFS, 2025. — 128 p. [in Russian].

5. ISO/IEC Guide 99:2007. International vocabulary of metrology — Basic and general concepts and associated terms (VIM). https://www.iso.org/standard/45324.html (accessed March 25, 2026).

6. ISO 3534-2:2006. Statistics — Vocabulary and symbols. Part 2. Applied statistics. https://www.iso.org/standard/40147.html (accessed March 25, 2026).

7. Usov A. I., Omel’yanyuk G. G., Bebeshko G. I., et al. Methodological features of validating forensic expert techniques / Theory Pract. Forensic Sci. 2023. Vol. 18. No. 1. P. 76 – 96 [in Russian]. DOI: 10.30764/1819-2785-2023-1-76-96

8. Bebeshko G. I., Lyubetskaya I. P., Omel’yanyuk G. G., Usov A. I. Methodological approaches to calculating key validation parameters of forensic methods / Inorg. Mater. 2021. Vol. 57. No. 14. P. 1385 – 1392. DOI: 10.1134/S0020168521140028

9. Omelianyuk G. G., Bebeshko G. I., Korol S. G. Methodical approaches to assessing the competence of forensic laboratories through inter-laboratory professional testing / Theory Pract. Forensic Sci. 2011. No. 4(24). P. 52 – 62 [in Russian].

10. Smirnova S. A., Omelianyuk G. G., Bebeshko G. I., Yudin N. V. The experience of validation of benzo[a]pyrene determination technique in the samples of soil-geological origin by HPLC with fluorimetric detection for conducting forensic environmental examination / Theory Pract. Forensic Sci. 2012. No. 3(27). P. 79 – 91 [in Russian].

11. Smirnova S. A., Omelyanyuk G. G., Bebeshko G. I., Popov V. V. Modern approaches to metrological evaluation of forensic research methods / Abstrs. of the 6th European Academy of Forensic Science Conference EAFS-2012, The Hague, August 20 – 24. — The Hague, 2012. P. 363.

12. Bebeshko G. I., Omelianyuk G. G., Nikulina M. V., Valitova A. R. The practice of validation of pH and specific electrical conductivity determination technique in the samples of soil and geological origin for conducting forensic environmental examination in the absence of standard samples / Theory Pract. Forensic Sci. 2017. Vol. 12. No. 2. P. 66 – 74 [in Russian]. DOI: 10.30764/1819-2785-2017-12-2-66-74

13. PCAST. Report to the President — Forensic Science in Criminal Courts: Ensuring Scientific Validity of Feature-Comparison Methods. — Washington, 2016. http://www.documentcloud.org/documents/3121011-Pcast-Forensic-Science-Report-Final.html (accessed March 25, 2026).

14. Bebeshko G. I., Usov A. I., Omel’yanyuk G. G., Lyubetskaya I. P. Evaluation of the reliability of the qualitative forensic technique microscopic examination of textile fibers / Inorg. Mater. 2023. Vol. 59. No. 14. P. 1482 – 1487. DOI: 10.1134/s0020168523140017

15. Smirnova S. A., Gradusova O. B., Nesterina E. M., et al. Diagnostic methodology for microinclusions in objects of soil and geological origin: validation and practical application / Inorg. Mater. 2022. Vol. 58. No. 14. P. 1484 – 1490. DOI: 10.1134/s0020168522140138

16. Gradusova O. B., Peleneva M. V, Nesterina E. M. Atlas of microinclusions in soils. — Moscow: RFCFE, 2014. — 94 p. [in Russian].

17. Swofford H., Champod C., Koertner A., et al. A method for measuring the quality of friction skin impression evidence: method development and validation / Forensic Sci. Int. 2021. Vol. 320. 110703. DOI: 10.1016/j.forsciint.2021.110703

18. Pierce M. L., Cook L. J. Development and implementation of an effective Blind proficiency testing program / J. Forensic Sci. 2020. Vol. 65. No. 3. P. 809 – 814. DOI: 10.1111/1556-4029.14269

19. Smirnova S. A., Afanasyev I. B., Bebeshko G. I., Omel’yanyuk G. G. Validation of the expert methodology «Detection of condensed traces of gunshot residue containing heavy metal compounds on various objects by scanning electron microscopy and X-ray microanalysis» / Inorg. Mater. 2022. Vol. 58. No. 14. P. 1491 – 1499. DOI: 10.1134/s002016852214014x

20. Bebeshko G. I., Omel’yanyuk G. G., Samoilova O. V., Usov A. I. Assessing the reliability of the forensic technique for the identification study of motor gasoline using gas-liquid chromatography / Inorg. Mater. 2024. Vol. 60. No. 1. P. 93 – 103. DOI: 10.1134/s0020168524700134

21. Ellison S. L. R., Fearn T. Characterizing the performance of qualitative analytical methods: statistics and terminology / Trends Anal. Chem. 2005. Vol. 24. No. 6. P. 468 – 476. DOI: 10.1016/j.trac.2005.03.007

22. The expression of uncertainty in qualitative testing: EURACHEM/CITAC guide. https://www.eurachem.org/index.php/publications/guides/performance-and-uncertainty-in-qualitative-analysis (accessed March 25, 2026).

23. Smith A. M., Neal T. M. S. The distinction between discriminability and reliability in forensic science / Sci. Justice. 2021. Vol. 61. No. 4. P. 319 – 331. DOI: 10.1016/j.scijus.2021.04.002

24. Mil’man B. L. Introduction to Forensic Identification. — St. Petersburg: VVM, 2008. — 179 p. [in Russian].

25. Mil’man B. L., Konopel’ko L. A. Uncertainty of qualitative chemical analysis. General methodology and binary test methods / J. Anal. Chem. 2004. Vol. 59. No. 12. P. 1244 – 1258. DOI: 10.1023/b:janc.0000049712.88066.e7

26. Kafadar K. Statistical issues in assessing forensic evidence / Int. Stat. Rev. 2015. Vol. 83. No. 1. P. 111 – 134. DOI: 10.1111/insr.12069

27. Bebeshko G. I., Novoseletsky I. N., Omel’yanyuk G. G., et al. Application of mathematical statistics methods in assessing the reliability of forensic testing techniques / Inorg. Mater. Appl. Res. 2024. Vol. 15. No. 6. P. 1663 – 1670. DOI: 10.1134/s207511332570002

28. Brown L. D., Cai T. T., DasGupta A. Interval estimation for a binomial proportion / Stat. Sci. 2001. Vol. 16. No. 2. P. 101 – 133.

29. Shor Ya. B. Statistical methods of analysis and quality and reliability control. — Moscow: Sovetskoe Radio, 1962. — 552 p. [in Russian].

30. Komar N. P. Fundamentals of qualitative chemical analysis. 1. Ion equilibria. — Kharkov: Kharkov University, 1955. — 448 p. [in Russian].

31. Panteleimonov A. V., Nikitina N. A., Reshetnyak E. A., et al. Binary response procedures of qualitative analysis: methodological characteristics and calculation aspects / Metody Ob’ekty Khim. Analiza. 2008. Vol. 3. No. 2. P. 128 – 146 [in Russian].

32. Reshetnyak E. A., Nikitina N. A., KholinYu. V., et al. On reliable assessment of metrological characteristics of test analysis / Vestn. Kharkov. Univ. Khimiya. 2003. Vol. 596. No. 10(33). P. 90 – 98 [in Russian].

33. Macarthur R., von Holst Ch. A protocol for the validation of qualitative methods of detection / Anal. Methods. 2012. Vol. 4. P. 2744 – 2754. DOI: 10.1039/c2ay05719k

34. GOST R 52361–2018. Analytical monitoring of an object. Terms and definitions. – Moscow: Standartinform, 2018. — 11 p. [in Russian].

35. Pulido A., Ruisánchez I., Boqué R., Rius F. X. Uncertainty of results in routine qualitative analysis / Trends Anal. Chem. 2003. Vol. 22. No. 10. P. 647 – 654. DOI: 10.1016/s0165-9936(03)01104-x

36. Massart D. L., Vandeginste B. G., Buydens L. M. C., et al. Handbook of Chemometrics and Qualimetrics. Part A. — Amsterdam: Elsevier, 1997. — 886 p.

37. Doerffel K. Statistik in der analytischen Chemie. — Dt. Verlag für Grundstoffindustrie, 1987. — 192 s.


Review

For citations:


Bebeshko G.I., Omel’yanyuk G.G., Usov A.I., Nikulina M.V. Specificity and practice of validation of forensic methods. Industrial laboratory. Diagnostics of materials. 2026;92(7):19-29. (In Russ.) https://doi.org/10.26896/1028-6861-2026-92-7-19-29

Views: 42

JATS XML

ISSN 1028-6861 (Print)
ISSN 2588-0187 (Online)