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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    Figures & Tables(7)
    Schematic diagram of surface plasmon resonance[20]
    Fingerprint SERS spectra of ASNRPC-cultured samples with varying protein mass concentrations and corresponding SERS images at selected mass concentrations[29]. (a) SERS spectra of fingerprints with different mass concentrations of proteins incubated with the ASNRPC; (b) SERS images of the fingerprint with protein mass concentrations of 100, 10-1, 10-4, and 10-7 mg∙mL-1 in the presence of ASNRPC
    Personalized information acquisition[39]. (a) Schematic illustration of personalized information acquisition based on dual-mode imaging and SERS detection of developed LFP; (b) dual-mode imaging of LFP from volunteers a, b, and c on glass; (c) personalized molecule information acquisition from developed LFP
    Application of flexible transparent SERS active films in fingerprint development and component detection[33]. (a)(b) SERS images of overlaid fingerprints generated using two dyes; (c)(d) overlapped fingerprint diagrams could be separated and reconstructed, by using a classical least-squares (CLS) fitting algorithm
    • Table 1. Research on the application of SERS for fingerprint visualization and detection

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      Table 1. Research on the application of SERS for fingerprint visualization and detection

      Ref.Fingerprint componentType of surface
      25Chemical composition of eccrine sweat
      28Large and curved surfaces
      29Protein
      30Smooth, semiporous, and porous surfaces
      31COT
      33TNT and Malachite Green
      36Urea
      37Methamphetamine
      38AcetaminophenDifficult surfaces
      39TNT,CV,Rhodamine 6 GSmooth, semiporous, and porous surfaces
      40TNT and Pentaerythritol Tetranitrate
      41COT and Methylene Blue
      422,4-Dinitrotoluene
      43Methamphetamine (METH) Hydrochloride
      44Malachite Green
    • Table 2. Advances in SERS for the detection of endogenous components in LFP

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      Table 2. Advances in SERS for the detection of endogenous components in LFP

      Ref.Laser wavelength /nmSubstrateLimit of detectionMatrix
      36632.8Gold colloidal particulate films-Urea
      31785.0AMN

      8.8×10-2 mg/L (saliva)

      2.9×10-2 mg/L (saliva)

      1×10-7 mol/L (fingerprints)

      COT

      Benzoylecgonine

      46633.0Au NSs10-8 mg/mLLysozyme, COT, and human IgG
      37785.0Au NRs10-5 mol/LMETH
    • Table 3. Advances in SERS for the detection of exogenous components in LFP

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      Table 3. Advances in SERS for the detection of exogenous components in LFP

      Ref.Laser wavelength /nmSubstrateLimit of detectionMatrix
      41785.0Silver and gold nanocomposite-Acetaminophen
      42632.8Ag NPs1.2 ng/cm2DNT
      25638.0Au NPs-Chemical composition of eccrine sweat
      33633.0Silver nanocubes

      7 μg/cm2

      10 ng/cm2

      TNT

      MG

      40785.0Au TNPs

      2.46×10-13 mol/L

      1.77×10-13 mol/L

      TNT

      PETN

      41638.0ANF10-3 mol/L

      COT

      METH

      43632.8Ag NPs/Agar1×10-5 mol/LMA
      34-Ag NPs

      5 ng (fingerprints)

      200 ng (bags)

      HNS
      44785.0Ag NWs @ PDMS10-2 mol/LMG
      39633.0GIANs500 ng/mLTNT
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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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