Latent fingerprints are crucial for suspect identification and crime scene reconstruction.While 1,2-indanedione-based fingerprint development techniques demonstrate high sensitivity in reacting with amino acids presen...Latent fingerprints are crucial for suspect identification and crime scene reconstruction.While 1,2-indanedione-based fingerprint development techniques demonstrate high sensitivity in reacting with amino acids present in fingerprint residue and good adaptability to porous substrates,their practical value is constrained by environmental instability,operational complexity,and reliance on high-temperature treatments.Drawing inspiration from the enhanced visualisation of fingerprints deposited by skincare product users,this study innovatively introduced propylene glycol and glycerol as cosolvents into the 1,2-indanedione formulation.The hydroxyl groups of these additives form stable hemiketal adducts with 1,2-indanedione’s carbonyl moieties,thereby accelerating reaction kinetics with amino acids and amplifying fluorescence intensity.The optimisation results indicate that the new formulation,incorporating 2 mL of propylene glycol as a cosolvent,eliminates thermal treatment and boosts the fingerprint development rate on copy paper from 71%to 93%.Additionally,the optimised 1,2-indanedione working solution reduces methanol content by 75%,achieving dual benefits of reduced toxicity and superior fluorescence emission.Systematic evaluations confirm the method’s robustness across diverse substrates and its ability to develop aged fingerprints(up to 8 months under ambient conditions)without thermal assistance.Crucially,comparative analyses of pre-and post-treatment document examination and biological assays confirm that the optimised protocol not only enhances fingerprint visualisation but also preserves forensic integrity for downstream analyses.This breakthrough establishes a practical framework for integrating the optimised 1,2-indanedione formulation into multimodal forensic workflows.展开更多
基金supported by the Ministry of Public Security’s Technical Research Program[No.2022JSYC21]2022 Fundamental Scientific Research Business Expense Project of the People’s Public Security University of China[No.2022JKF02023]R&D Program of Beijing Municipal Education Commission[No.KM202414019002].
摘要Latent fingerprints are crucial for suspect identification and crime scene reconstruction.While 1,2-indanedione-based fingerprint development techniques demonstrate high sensitivity in reacting with amino acids present in fingerprint residue and good adaptability to porous substrates,their practical value is constrained by environmental instability,operational complexity,and reliance on high-temperature treatments.Drawing inspiration from the enhanced visualisation of fingerprints deposited by skincare product users,this study innovatively introduced propylene glycol and glycerol as cosolvents into the 1,2-indanedione formulation.The hydroxyl groups of these additives form stable hemiketal adducts with 1,2-indanedione’s carbonyl moieties,thereby accelerating reaction kinetics with amino acids and amplifying fluorescence intensity.The optimisation results indicate that the new formulation,incorporating 2 mL of propylene glycol as a cosolvent,eliminates thermal treatment and boosts the fingerprint development rate on copy paper from 71%to 93%.Additionally,the optimised 1,2-indanedione working solution reduces methanol content by 75%,achieving dual benefits of reduced toxicity and superior fluorescence emission.Systematic evaluations confirm the method’s robustness across diverse substrates and its ability to develop aged fingerprints(up to 8 months under ambient conditions)without thermal assistance.Crucially,comparative analyses of pre-and post-treatment document examination and biological assays confirm that the optimised protocol not only enhances fingerprint visualisation but also preserves forensic integrity for downstream analyses.This breakthrough establishes a practical framework for integrating the optimised 1,2-indanedione formulation into multimodal forensic workflows.