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| Main Author: | |
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| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2026
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| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.20021976 |
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Table of Contents:
- This comprehensive article details the paradigm shift in modern fingerprint science, transitioning from a century-old reliance on macroscopic ridge pattern matching to sophisticated chemical profiling. Latent fingerprints are complex biochemical matrices containing endogenous secretions, such as eccrine and sebaceous fluids, and exogenous substances, including drugs, explosives, and cosmetics. Advanced analytical technologies, particularly mass spectrometry imaging techniques like DESI-MS and MALDI-MSI, alongside comprehensive two-dimensional gas chromatography and ultra-performance liquid chromatography, now allow scientists to simultaneously capture spatial ridge details and the molecular signatures of these compounds. This dual capability is revolutionary for forensic science, as it enables the chemical deconvolution of overlapping or smudged prints that would otherwise be unusable, while simultaneously providing actionable intelligence regarding a donor's biological sex, lifestyle, diet, and potential drug use. The text extensively covers the pharmacokinetic foundations of sweat analysis, demonstrating how fingerprint sweat serves as a viable matrix for non-invasive drug screening and health monitoring, often correlating strongly with blood concentrations. It outlines specific experimental protocols for lateral flow immunoassay drug testing, DNA recovery from archived latent prints using optimized extraction and concentration methods, and comprehensive metabolite profiling for assessing personal attributes. Furthermore, the article addresses the critical need for scientific rigor in analytical chemistry. It emphasizes the implementation of Green Analytical Chemistry principles to mitigate environmental contamination and details the necessity of robust statistical frameworks, such as Approximate Bayesian Computation, to accurately quantify error rates in complex comparative analyses. Finally, the integration of artificial intelligence and machine learning is highlighted as a driving force in the evolution of multimodal biometric systems. By fusing chemical fingerprinting with other biometric modalities, researchers are developing highly secure, spoof-resistant identification technologies with expanding applications in clinical diagnostics, personalized medicine, and advanced forensic investigations. Source: https://www.forensicchem.com/posts/beyond-patterns-chemical-analysis-and-emerging-research-in-modern-fingerprint-science