Unravelling tool paint using FTIR spectroscopy: Chemical identification, discrimination study and creation of a database for robust frequency estimations

Florian Vanneste, Kyra Lunstroot

Open source

DOI
10.1016/j.forsciint.2026.113041
Published
2026-10
Container
Forensic Science International
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.forsciint.2026.113041,
  title = {Unravelling tool paint using FTIR spectroscopy: Chemical identification, discrimination study and creation of a database for robust frequency estimations},
  author = {Florian Vanneste and Kyra Lunstroot},
  year = {2026},
  journal = {Forensic Science International},
  doi = {10.1016/j.forsciint.2026.113041},
  url = {https://doi.org/10.1016/j.forsciint.2026.113041}
}

RIS

TY  - JOUR
TI  - Unravelling tool paint using FTIR spectroscopy: Chemical identification, discrimination study and creation of a database for robust frequency estimations
AU  - Florian Vanneste
AU  - Kyra Lunstroot
PY  - 2026
JO  - Forensic Science International
DO  - 10.1016/j.forsciint.2026.113041
UR  - https://doi.org/10.1016/j.forsciint.2026.113041
ER  - 

APA

Vanneste, F., & Lunstroot, K. (2026). Unravelling tool paint using FTIR spectroscopy: Chemical identification, discrimination study and creation of a database for robust frequency estimations. Forensic Science International. https://doi.org/10.1016/j.forsciint.2026.113041

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