Chinese Journal of Applied Chemistry ›› 2024, Vol. 41 ›› Issue (12): 1697-1711.DOI: 10.19894/j.issn.1000-0518.240190

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Research Progress in Inferring Fingerprint Legacy Time

Zi-Chen YI1, Wen-Ji ZHANG1(), Wei YI2, Zi-Hua LI1, Jia-Si JIANG1   

  1. 1.School of Forensic Science and Technology,Criminal Investigation Police University of China,Shenyang 110854,China
    2.Criminal Investigation Detachment of Yichun Public Security Bureau,Yichun 330006,China
  • Received:2024-06-20 Accepted:2024-10-30 Published:2024-12-01 Online:2025-01-02
  • Contact: Wen-Ji ZHANG
  • About author:syphuzwj@163.com
  • Supported by:
    the Natural Science Foundation of Liaoning Province(2024-MS-208);the Basic Research Project of Liaoning Provincial Department of Education(JYTZD2023147)

Abstract:

Fingerprints are one of the most important forms of physical evidence at crime scenes. In the face of difficult cases lacking key information, by inferring the remaining time of fingerprints, case handlers can delimit the time of suspect and further narrow the scope of detection. Therefore, inferring the residual time of fingerprints can play a huge role in the field of criminal investigation. In recent years, significant progress has been made in the research of inferring fingerprint residual time, and various fingerprint residual time prediction models have emerged one after another. This article reviews the research progress in the field of inferring fingerprint residual time in recent years, summarizes the main variables that interfere with the determination of fingerprint residual time (imprint human characteristics, imprint conditions, imprint body properties, environmental conditions, and display methods, etc.), and focuses on the methods and potential methods for inferring fingerprint residual time from three research directions: morphological characteristics, electrochemical characteristics and chemical composition. The challenges and future development directions for inferring fingerprint residual time are discussed.

Key words: Fingerprint, Remaining time, Fingerprint aging, Lipids, Spine, Morphology, Electrochemistry

CLC Number: