Laser & Optoelectronics Progress, Volume. 62, Issue 13, 1300012(2025)

Application of Surface-Enhanced Raman Spectroscopy for Latent Fingerprints Development and Composition Detection

Xiaohu Cui1,2, Jianzhen Lu1, Xiangyang Hu1,2, Feng Wu1,2, and Ping Yan1,2、*
Author Affiliations
  • 1Criminal Justice School, Zhongnan University of Economics and Law, Wuhan 430073, Hubei , China
  • 2Innovation Base of Forensic Technology Application and Social Governance, the Ministry of Education, the Ministry of Science and Technology, Wuhan 430073, Hubei , China
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    Fingerprints contain both morphological and biochemical information, making them one of the most critical pieces of physical evidence for personal identification in crime scene investigations. While traditional fingerprint identification methods can only reveal morphological features of latent fingerprints, surface-enhanced Raman spectroscopy (SERS) offers a novel molecular spectroscopy technique characterized by high sensitivity, simplicity, and rapid analysis. This technique plays a pivotal role in fingerprint visualization and biochemical component detection. This study reviews the latest advancements in SERS-based detection of exogenous and endogenous fingerprint components over the past decade. Additionally, it explores future prospects for SERS in fingerprint analysis, aiming to provide a certain reference for related research, as well as for criminal investigation and case handling.

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    Xiaohu Cui, Jianzhen Lu, Xiangyang Hu, Feng Wu, Ping Yan. Application of Surface-Enhanced Raman Spectroscopy for Latent Fingerprints Development and Composition Detection[J]. Laser & Optoelectronics Progress, 2025, 62(13): 1300012

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    Paper Information

    Category: Reviews

    Received: Nov. 29, 2024

    Accepted: Jan. 20, 2025

    Published Online: Jun. 25, 2025

    The Author Email: Ping Yan (y9621227@126.com)

    DOI:10.3788/LOP242352

    CSTR:32186.14.LOP242352

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