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Photoluminescence offers a wide range of applications due to its inherent sensitivity and selectivity. This technique allows for both direct and indirect analyses of the analyte. Direct quantitative analysis is possible when the analyte exhibits a favorable quantum yield for fluorescence or phosphorescence. However, an indirect analysis may be feasible if the analyte is not fluorescent or phosphorescent, or if the quantum yield is unfavorable. Indirect methods include reacting the analyte with...
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Aggregation-induced emission luminogens for latent fingerprint detection.

Sonali Bera1, Abishake Selvakumaraswamy2, Biswa Prakash Nayak2

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Aggregation-induced emission luminogens (AIEgens) offer a novel approach for detecting latent fingerprints (LFPs). This research compares various AIEgens for sensitive, safe, and sustainable LFP visualization in forensic science.

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Area of Science:

  • Forensic Science
  • Materials Science
  • Chemistry

Background:

  • Fingerprints are crucial for individual identification, especially in criminal investigations.
  • Latent fingerprints (LFPs) are invisible and require sensitive detection methods for crime scene analysis.
  • Current LFP detection methods have limitations, necessitating safer and more sustainable alternatives.

Purpose of the Study:

  • To explore aggregation-induced emission luminogens (AIEgens) as a novel strategy for latent fingerprint (LFP) visualization.
  • To provide a comparative analysis of different AIEgen types for LFP development and detection.
  • To address limitations of existing AIEgens and propose strategies for improved performance.

Main Methods:

  • Comparative analysis of various AIEgens, including organic compounds, metal complexes, nanoparticles, and polymers.
  • Evaluation of AIEgens for their efficiency, sensitivity, and convenience in LFP detection.
  • Exploration of strategies to overcome current limitations of AIE-based LFP techniques.

Main Results:

  • AIEgens demonstrate unique photophysical properties suitable for on-site LFP visualization.
  • Different AIEgen classes show varying efficiencies and potential applications in forensic analysis.
  • Insights into optimizing AIEgens for enhanced LFP development and detection are provided.

Conclusions:

  • AIEgens present a promising avenue for developing advanced, safe, and environmentally friendly latent fingerprint detection techniques.
  • Further research into AIEgens can significantly contribute to the advancement of forensic science and criminal investigations.
  • The study encourages broader investigation into AIEgens for latent fingerprint analysis.