Laser & Optoelectronics Progress, Volume. 62, Issue 13, 1300004(2025)

Current Research on Bloodstain Detection Using Spectroscopic Techniques

Huihui Ren1, Xinyu Zhang1, Fanfan Cheng3, Yuran Qiu3, Junda Ma3, Jianqiang Zhang3, Jiaquan Wu1, Hang Chen1, Xiaoquan Lu1, and Qifu Yang2、*
Author Affiliations
  • 1College of Science, Kunming University of Science and Technology, Kunming 650500, Yunnan , China
  • 2Nanophysics and Devices Laboratory, Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
  • 3College of Criminal Investigation, Yunnan Police College, Kunming 650223, Yunnan , China
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    Bloodstains are one of the most important forensic evidences that play a crucial role in the detection and analysis of cases. This article reviews the research progress of bloodstain detection using spectral technology, both domestically and internationally. This study also introduces forensic and spectroscopic methods for bloodstain confirmation, bloodstain species identification, and bloodstain duration prediction. The accuracy and practicality of these methods are evaluated, discussing their advantages, disadvantages, and areas of application. Spectral detection technology achieves a bloodstain confirmation accuracy of over 96%, bloodstain species identification accuracy ranging from 70% to 100%, sensitivity between 0.92 and 1, and specificity between 0.78 and 1. The error range for bloodstain duration prediction spans from several hours to several days. And the study concludes by discussing the future development of bloodstain detection technologies. This study provides new technical insights into bloodstain detection in forensic medicine.

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    Huihui Ren, Xinyu Zhang, Fanfan Cheng, Yuran Qiu, Junda Ma, Jianqiang Zhang, Jiaquan Wu, Hang Chen, Xiaoquan Lu, Qifu Yang. Current Research on Bloodstain Detection Using Spectroscopic Techniques[J]. Laser & Optoelectronics Progress, 2025, 62(13): 1300004

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    Paper Information

    Category: Reviews

    Received: Nov. 25, 2024

    Accepted: Dec. 25, 2024

    Published Online: Jul. 16, 2025

    The Author Email: Qifu Yang (2633151251@qq.com)

    DOI:10.3788/LOP242314

    CSTR:32186.14.LOP242314

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