Estimation of the age of bloodstains from a simulated crime scene using ATR-FTIR spectroscopy and machine learning

Authors

zhenqing zhang (ORCID: https://orcid.org/0000-0002-6815-4159)
Shouqing Liu (ORCID: https://orcid.org/0000-0002-3774-4180)
Sheng Liu (ORCID: https://orcid.org/0000-0001-5119-0324)
Feng Chen (ORCID: https://orcid.org/0000-0001-7508-2854)
Xinhua Wang (ORCID: https://orcid.org/0000-0002-9505-0603)
Yun Jiang

Institutions

Suzhou University of Science and Technology (CN)
Zhengzhou University (CN)
Soochow University (CN)
Shanghai Public Security Bureau (CN)
Zhengzhou Railway Vocational & Technical College (CN)

Publication Details

Journal: New Journal of Chemistry
Published: 2025-01-01
DOI: https://doi.org/10.1039/d5nj01072a
Citations: 1
Primary Topic: Forensic and Genetic Research
Type: article
Field-Weighted Citation Impact: 1.82

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article

Estimation of the age of bloodstains from a simulated crime scene using ATR-FTIR spectroscopy and machine learning

zhenqing zhang, Shouqing Liu, Sheng Liu, Feng Chen et al.

Jan 1, 2025

1 citations

New Journal of Chemistry

Forensic and Genetic Research

1.82

article

Estimation of the age of bloodstains from a simulated crime scene using ATR-FTIR spectroscopy and machine learning

zhenqing zhang, Shouqing Liu, Sheng Liu, Feng Chen, Xinhua Wang, Yun Jiang

January 1, 2025article en

1 citations

Abstract

No abstract available for this paper.

New Journal of ChemistryVol. 49(39)

Suzhou University of Science and Technology (CN), Zhengzhou University (CN), Soochow University (CN), Shanghai Public Security Bureau (CN), Zhengzhou Railway Vocational & Technical College (CN)

Peace, Justice and strong institutions

Openalex Percentile: Top 13%

Forensic and Genetic Research

1.82

DOI Source OpenAlex

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