Bacterial profile-based body fluid identification using a machine learning approach.

Journal: Genes & genomics
PMID:

Abstract

BACKGROUND: Identifying the origins of biological traces is critical for the reconstruction of crime scenes in forensic investigations. Traditional methods for body fluid identification rely on chemical, enzymatic, immunological, and spectroscopic techniques, which can be sample-consuming and depend on simple color-change reactions. However, these methods have limitations when residual samples are insufficient after DNA extraction.

Authors

  • Sungmin Kim
    Department of Textiles, Merchandising and Fashion Design, Seoul National University, Seoul 08826, Republic of Korea.
  • Han Chul Lee
    Forensic Genetics and Chemistry Division, Supreme Prosecutors' Office, 157 Banpo daero, Seocho gu, Seoul, 06590, Republic of Korea.
  • Jeong Eun Sim
    Forensic Genetics and Chemistry Division, Supreme Prosecutors' Office, 157 Banpo daero, Seocho gu, Seoul, 06590, Republic of Korea.
  • Su Jeong Park
    Forensic Genetics and Chemistry Division, Supreme Prosecutors' Office, 157 Banpo daero, Seocho gu, Seoul, 06590, Republic of Korea.
  • Hye Hyun Oh
    Forensic Genetics and Chemistry Division, Supreme Prosecutors' Office, 157 Banpo daero, Seocho gu, Seoul, 06590, Republic of Korea.