The site of the Media Sphera Publishers contains materials intended solely for healthcare professionals.
By closing this message, you confirm that you are a certified medical professional or a student of a medical educational institution.

Login
EN
+7 (495) 482-4118
+7 (495) 482-0604
+8 800 250-18-12
  • (toll-free number for subscriptions)
    Mon-Fri from 10 a.m. to 6 p.m.

  • © 1998-2025
+7 (495) 482-43-29
EN
All journals
Journal
Year
Year
Search result: 0

Alpuche R.

University at Albani — State University of New York

Pigolkin Yu.I.

I.M. Sechenov First Moscow State Medical University (Sechenov University)

Zakharov S.N.

I.M. Sechenov First Moscow State Medical University

Lednev I.K.

University at Albani — State University of New York

Vibrational spectroscopy use for forensic purposes combined with machine learning

Authors:

Alpuche R., Pigolkin Yu.I., Zakharov S.N., Lednev I.K.

More about the authors

Journal: Forensic Medical Expertise. 2024;67(4): 69‑72

DOI: 10.17116/sudmed20246704169

Read: 1037 times

Download PDF (RU)
Contact the author
Table of contents

VIBRATIONAL SPECTROSCOPY USE FOR FORENSIC PURPOSES COMBINED WITH MACHINE LEARNING
VIBRATIONAL SPECTROSCOPY USE FOR FORENSIC PURPOSES COMBINED WITH MACHINE LEARNING

To cite this article:

Alpuche R, Pigolkin YuI, Zakharov SN, Lednev IK. Vibrational spectroscopy use for forensic purposes combined with machine learning. Forensic Medical Expertise. 2024;67(4):69‑72. (In Russ.)
https://doi.org/10.17116/sudmed20246704169

Подписка 2026 Судебно-медицинская экспертиза (Forensic Medical Expertise)
 
МСФ на ЯМ
Использование инфографики авторами научных работ
Close metadata
Recommended articles:
Comparison of models for prediction of spontaneous preterm birth. Medi­cal Technologies. Asse­ssment and Choice. 2024;(4):10-19
Analysis of exha­led air composition using a portable electronic nose as a promising method for non-invasive rapid diagnosis of pulmonary tube­rculosis. Labo­ratory Service. 2024;(4):12-20
On the path to personalized cardiology: prospects of precise asse­ssment of cardiovascular risks and predictive-prognostic diagnostics. Russian Journal of Cardiology and Cardiovascular Surgery. 2025;(2):206-215
Primary angle closure suspects: application of machine learning method for substantiation of close moni­toring. Russian Annals of Ophthalmology. 2025;(2):67-74
Prognostic model and calculator for asse­ssing the risk of prolonged pleural effu­sion after lobe­ctomy. Piro­gov Russian Journal of Surgery. 2025;(6):26-34
Arti­ficial inte­lligence capa­bilities in multiple scle­rosis. S.S. Korsakov Journal of Neurology and Psychiatry. 2025;(5):14-21
High-accuracy eosi­nophil dete­ction in eosi­nophilic esophagitis histological images using machine learning model YOLO11. Russian Journal of Evidence-Based Gastroenterology. 2025;(2):19-29
Arti­ficial inte­lligence in surgery. Redu­cing the risks rela­ted to poly­pharmacy in perioperative period. Piro­gov Russian Journal of Surgery. 2025;(7):59-66
Arti­ficial inte­lligence in reproductive medi­cine and surgery. Russian Journal of Human Reproduction. 2025;(4):10-25
Machine learning models for brain tumors differential diagnosis. Russian Journal of Preventive Medi­cine. 2025;(9):87-93
Abstract:

Vibrational spectroscopy combined with machine learning has a great potential for forensic research. Portable Raman spectrometers are already being used by law-enforcement agencies to identify drugs. Several new technologies based on vibrational spectroscopy, that can be used in forensic science to analyze documents, gunshot traces, cloths, soil, hair, nails and lacquer, are being developed nowadays. The article considers the use of vibrational spectroscopy in forensic practice for conducting serological studies with an emphasis on the development of a universal method of identifying the main secretions of the body. The method allows to determine the time elapsed since the trace was made, as well as the phenotypic profile of host, including sex, race and age.

Keywords:

Raman spectroscopy
machine learning
forensic
fluids of the body
residues of firearm

Authors:

Alpuche R.

University at Albani — State University of New York

Pigolkin Yu.I.

I.M. Sechenov First Moscow State Medical University (Sechenov University)

Zakharov S.N.

I.M. Sechenov First Moscow State Medical University

Lednev I.K.

University at Albani — State University of New York

Received:

27.02.2024

Accepted:

14.03.2024

Close metadata

References:

  1. Pigolkin YuI, Zolotenkova GV. The implementation of modern achievements of neurohistology in forensic practice. Tikhookeanskii meditsinskii zhurnal. 2016;2(64):49-54. (In Russ.). https://doi.org/10.17238/pmj1609-1175.2016.2.49-54
  2. Lewis IR, Edwards H. Handbook of Raman spectroscopy: from the research laboratory to the process line. USA: CRC press; 2001. https://doi.org/10.1002/jrs.1117
  3. Hernandez D. SHERLOC for Scientists. Assessed January 29, 2024. https://mars.nasa.gov/mars2020/spacecraft/instruments/sherloc/for-scientists/#:~:text=The%20laser%20is%20integrated%20to,Martian%20surface%20and%20near%20subsurface
  4. Ralbovsky NM, Lednev IK. Towards development of a novel universal medical diagnostic method: Raman spectroscopy and machine learning. Chemical Society Reviews. 2020;49(20):7428-7453. https://doi.org/10.1039/d0cs01019g
  5. Weber A, Hoplight B, Ogilvie R, Muro C, Khandasammy SR, Pérez-Almodóvar L, Sears S, Lednev IK. Innovative vibrational spectroscopy research for forensic application. Analytical Chemistry. 2023;95:167-205.  https://doi.org/10.1021/acs.analchem.2c05094
  6. Doty KC, Lednev IK. Raman spectroscopy for forensic purposes: recent applications for serology and gunshot residue analysis. TrAC Trends in Analytical Chemistry. 2018;103:215-222  https://doi.org/10.1016/j.trac.2017.12.003
  7. Khandasammy SR, Fikiet MA, Mistek E, Ahmed Y, Halámková L, Bueno J, Lednev IK. Bloodstains, paintings, and drugs: Raman spectroscopy applications in forensic science. Forensic Chemistry. 2018;8:111-133.  https://doi.org/10.1016/j.forc.2018.02.002
  8. Oficialnaya stranica produkta: TruNarcTM Handheld Narcotics Analyzer. Accessed January 15, 2024. (In Russ.) https://www.thermofisher.com/order/catalog/product/TRUNARC
  9. Muro CK, Doty KC, Bueno J, Halamkova L, Lednev IK. Vibrational spectroscopy: recent developments to revolutionize forensic science. Analytical chemistry. 2015;87:306-327.  https://doi.org/10.1021/ac504068a
  10. Virkler K, Lednev IK. Analysis of body fluids for forensic purposes: from laboratory testing to non-destructive rapid confirmatory identification at a crime scene. Forensic science international. 2009;188:1-17.  https://doi.org/10.1016/j.forsciint.2009.02.013
  11. Muro CK, Doty KC, de Souza Fernandes L, Lednev IK. Forensic body fluid identification and differentiation by Raman spectroscopy. Forensic Chemistry. 2016;1:31-38.  https://doi.org/10.1016/j.forc.2016.06.003
  12. Vyas B, Halamkova L, Lednev IK. A universal test for the forensic identification of all main body fluids including urine. Forensic Chemistry. 2020;20:100247. https://doi.org/10.1016/j.forc.2020.100247
  13. Muro CK, Lednev IK. Identification of individual red blood cells by Raman microspectroscopy for forensic purposes: in search of a limit of detection. Analytical and bioanalytical chemistry. 2017;409:287-293.  https://doi.org/10.1007/s00216-016-0002-2
  14. Nichols N, Lednev I. Raman Spectroscopy for Forensic Identification of Body Fluid Traces: Method Validation for Potential False Negatives Caused by Blood-Affecting Diseases. American Journal of Analytical Chemistry. 2022;13(1):1-8.  https://doi.org/10.4236/ajac.2022.131001
  15. Rosenblatt R, Halámková L, Doty KC, de Oliveira Jr EA, Lednev IK. Raman spectroscopy for forensic bloodstain identification: method validation vs. environmental interferences. Forensic Chemistry. 2019;16:100175. https://doi.org/10.1016/j.forc.2019.100175
  16. Casey T, Mistek E, Halámková L, Lednev IK. Raman spectroscopy for forensic semen identification: Method validation vs. environmental interferences. Vibrational Spectroscopy. 2020;109:103065. https://doi.org/10.1016/j.vibspec.2020.103065
  17. Fikiet MA, Lednev IK. Raman spectroscopic method for semen identification: Azoospermia. Talanta. 2019;194:385-389.  https://doi.org/10.1016/j.talanta.2018.10.034
  18. McLaughlin G, Fikiet MA, Ando M, Hamaguchi H, Lednev IK. Universal detection of body fluid traces in situ with Raman hyperspectroscopy for forensic purposes: Evaluation of a new detection algorithm (HAMAND) using semen samples. Journal of Raman Spectroscopy. 2019;50:1147-1153. https://doi.org/10.1002/jrs.5621
  19. Kistenev YV, Borisov AV, Samarinova AA, Colón-Rodríguez S, Lednev IK. A novel Raman spectroscopic method for detecting traces of blood on an interfering substrate. Scientific Reports. 2023;13:5384. https://doi.org/10.1038/s41598-023-31918-9
  20. Sikirzhytskaya A, Sikirzhytski V, Pérez-Almodóvar L, Lednev IK. Raman spectroscopy for the identification of body fluid traces: Semen and vaginal fluid mixture. Forensic Chemistry. 2023;32:100468. https://doi.org/10.1016/j.forc.2023.100468
  21. Sikirzhytski V, Lednev I, Sikirzhytskaya A. Raman spectroscopy coupled with advanced chemometrics for forensic analysis of semen and blood mixtures. Spectroscopy. 2013:28(12). https://doi.org/10.1016/j.forc.2023.100468
  22. Virkler K, Lednev IK. Blood species identification for forensic purposes using Raman spectroscopy combined with advanced statistical analysis. Analytical chemistry. 2009;81:7773-7777  https://doi.org/10.1021/ac901350a
  23. Doty KC, Lednev IK. Differentiation of human blood from animal blood using Raman spectroscopy: A survey of forensically relevant species. Forensic science international. 2018;282:204-210.  https://doi.org/10.1016/j.forsciint.2017.11.033
  24. Sikirzhytskaya A, Sikirzhytski V, Lednev IK. Raman spectroscopy coupled with advanced statistics for differentiating menstrual and peripheral blood. Journal of biophotonics. 2014;7:59-67.  https://doi.org/10.1002/jbio.201200191
  25. Mistek-Morabito E, Lednev IK. Discrimination of menstrual and peripheral blood traces using attenuated total reflection Fourier transform-infrared (ATR FT-IR) spectroscopy and chemometrics for forensic purposes. Analytical and Bioanalytical Chemistry. 2021;413:2513-2522. https://doi.org/10.1007/s00216-021-03206-w
  26. Doty KC, McLaughlin G, Lednev IK. A Raman spectroscopic clock for bloodstain age determination: the first week after deposition. Analytical and bioanalytical chemistry. 2016;408:3993-4001. https://doi.org/10.1007/s00216-016-9486-z
  27. Doty KC, Muro CK, Lednev IK. Predicting the time of the crime: Bloodstain aging estimation for up to two years. Forensic Chemistry. 2017;5:1-7.  https://doi.org/10.1016/j.forc.2017.05.002
  28. Weber AR, Lednev IK. Crime clock—Analytical studies for approximating time since deposition of bloodstains. Forensic Chemistry. 2020;19:100248. https://doi.org/10.1016/j.forc.2020.100248
  29. Barber AP, Weber AR, Lednev IK. Raman spectroscopy to determine the time since deposition of heated bloodstains. Forensic Chemistry. 2024;37:100549. https://doi.org/10.1016/j.forc.2024.100549
  30. Sikirzhytskaya A, Sikirzhytski V, Lednev IK. Determining gender by Raman spectroscopy of a bloodstain. Analytical chemistry. 2017;89:1486-1492. https://doi.org/10.1021/acs.analchem.6b02986
  31. Takamura A, Halamkova L, Ozawa T, Lednev IK. Phenotype profiling for forensic purposes: determining donor sex based on Fourier transform infrared spectroscopy of urine traces. Analytical chemistry. 2019;91:6288-6295. https://doi.org/10.1021/acs.analchem.9b01058
  32. Muro CK, de Souza Fernandes L, Lednev IK. Sex determination based on Raman spectroscopy of saliva traces for forensic purposes. Analytical chemistry. 2016;88:12489-12493. https://doi.org/10.1021/acs.analchem.6b03988
  33. Muro CK, Lednev IK. Race differentiation based on Raman spectroscopy of semen traces for forensic purposes. Analytical chemistry. 2017;89:4344-4348. https://doi.org/10.1021/acs.analchem.7b00106
  34. Mistek E, Halámková L, Doty KC, Muro CK, Lednev IK. Race differentiation by Raman spectroscopy of a bloodstain for forensic purposes. Analytical chemistry. 2016;88:7453-7456. https://doi.org/10.1021/acs.analchem.6b01173
  35. Mistek E, Halámková L, Lednev IK. Phenotype profiling for forensic purposes: Nondestructive potentially on scene attenuated total reflection Fourier transform-infrared (ATR FT-IR) spectroscopy of bloodstains. Forensic Chemistry. 2019;16:100176. https://doi.org/10.1016/j.forc.2019.100176
  36. Doty KC, Lednev IK. Differentiating donor age groups based on Raman spectroscopy of bloodstains for forensic purposes. ACS central science. 2018;4:862-867.  https://doi.org/10.1021/acscentsci.8b00198
  37. Giuliano S, Mistek-Morabito E, Lednev IK. Forensic phenotype profiling based on the attenuated total reflection fourier transform-infrared spectroscopy of blood: Chronological age of the donor. ACS omega. 2020;5:27026-27031. https://doi.org/10.1021/acsomega.0c01914
  38. Al‐Hetlani E, Halámková L, Amin MO, Lednev IK. Differentiating smokers and nonsmokers based on Raman spectroscopy of oral fluid and advanced statistics for forensic applications. Journal of biophotonics. 2020;13:e201960123. https://doi.org/10.1002/jbio.201960123
Contact the author
Email
Message
The publishing house "Media Sphere" does not provide treatment services, does not give recommendations on contacting medical institutions and specific specialists, on the prescription of medicines and dietary supplements.

Email Confirmation

An email was sent to test@gmail.com with a confirmation link. Follow the link from the letter to complete the registration on the site.

Email Confirmation

Contact us
If you have any questions, complaints or suggestions, please use this feedback form.
Email
Message
The publishing house "Media Sphere" does not provide treatment services, does not give recommendations on contacting medical institutions and specific specialists, on the prescription of medicines and dietary supplements.
Submit Application

You can become an author of one of our magazines, send a request and we will consider it in during the day.

Name
Phone
E-mail
Message
Login
Registration
E-mail
Password
Forgot Password?

Log in to the site using your account in one of the services

Password recovery
E-mail
Login
Register

We use cооkies to improve the performance of the site. By staying on our site, you agree to the terms of use of cооkies. To view our Privacy and Cookie Policy, please. click here.