GC-MS-based volatolomics and machine learning for predicting bloodstain time since deposition

Wen-ji Zhang, Qi-rui Han, Ji-long Zheng

Open source

DOI: 10.1007/s00216-026-06783-w
Published: 2026-09-08
Container: Analytical and Bioanalytical Chemistry
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s00216-026-06783-w,
  title = {GC-MS-based volatolomics and machine learning for predicting bloodstain time since deposition},
  author = {Wen-ji Zhang and Qi-rui Han and Ji-long Zheng},
  year = {2026},
  journal = {Analytical and Bioanalytical Chemistry},
  doi = {10.1007/s00216-026-06783-w},
  url = {https://doi.org/10.1007/s00216-026-06783-w}
}

RIS

TY  - JOUR
TI  - GC-MS-based volatolomics and machine learning for predicting bloodstain time since deposition
AU  - Wen-ji Zhang
AU  - Qi-rui Han
AU  - Ji-long Zheng
PY  - 2026
JO  - Analytical and Bioanalytical Chemistry
DO  - 10.1007/s00216-026-06783-w
UR  - https://doi.org/10.1007/s00216-026-06783-w
ER  -

APA

Zhang, W., Han, Q., & Zheng, J. (2026). GC-MS-based volatolomics and machine learning for predicting bloodstain time since deposition. Analytical and Bioanalytical Chemistry. https://doi.org/10.1007/s00216-026-06783-w

Source records

crossref · retrieved 2026-09-25T07:52:44.849Z