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Theory and Practice of Forensic Science

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NIR Spectroscopy with Application of Chemometric Algorithms in Forensic Wood Analysis

https://doi.org/10.30764/1819-2785-2022-3-18-25

Abstract

The article addresses practical aspects of applying the spectroscopy in the near infrared region method when conducting forensic examinations of wood. Based on the obtained results, it has been concluded that the NIR spectra can be used as an informative indicator to determine the species of woody plants, as well as to track the origin of timber and to detect the facts of illegal logging. The authors demonstrate the possibility of interpreting the obtained spectral data using formal independent class analogy modeling and discriminant analysis of projections onto latent structures. They have also built stable workable classification models to differentiate Dipteryx odorata (Cumaru) and Dipteryx panamensis (Cumarurana), as well as common hornbeam (Carpinus betulus) of various geographical origin.

About the Authors

A. N. Khokh
State Institution Scientific and Practical Center of the State Forensic Examination Committee of the Republic of Belarus
Belarus

Khokh Anna Nikolaevna – Head of the Laboratory of Materials, Substances and Products Research of the Scientific Department of Technical and Special Studies

Minsk 220114



P. S. Voskanyan
National Bureau of Expertises of National Academy of Science of the Republic of Armenia
Armenia

Voskanyan Patvakan Stepanovich – Candidate of Chemistry, Deputy Director for Scientific Work

Yerevan 0004



A. A. Petrosyan
National Bureau of Expertises of National Academy of Science of the Republic of Armenia
Armenia

Petrosyan Anna Araikovna – Head of the Ecological, Soil and Biological Examinations Department

Yerevan 0004



References

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Review

For citations:


Khokh A.N., Voskanyan P.S., Petrosyan A.A. NIR Spectroscopy with Application of Chemometric Algorithms in Forensic Wood Analysis. Theory and Practice of Forensic Science. 2022;17(3):18-25. (In Russ.) https://doi.org/10.30764/1819-2785-2022-3-18-25

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ISSN 1819-2785 (Print)
ISSN 2587-7275 (Online)