Journal of Analytical Toxicology: Drug Screening Using the Sweat of a Fingerprint

New Research Confirms the Efficacy of Fingerprint-Based Drug Screening Technology

A peer-reviewed study published in the Journal of Analytical Toxicology provides compelling evidence that fingerprint-based drug screening is a reliable and effective method for detecting drugs of abuse. The research, titled “Drug Screening using the Sweat of a Fingerprint: Lateral Flow Detection of Δ9-Tetrahydrocannabinol, Cocaine, Opiates and Amphetamine,” demonstrates that the sweat residue left in a fingerprint can be used to accurately identify the presence or absence of key drug groups.

The study focused on four common classes of drugs: Δ9-tetrahydrocannabinol (THC), cocaine, opiates, and amphetamine. Using lateral flow technology—an established format also used in devices such as pregnancy tests—the researchers successfully detected these substances through the sweat present in fingerprint samples. This non-invasive and hygienic method represents a promising alternative to traditional biological sample collection methods like urine, blood, or saliva.

Importantly, the research also highlights the successful application of this technology in post-mortem testing. The study included data from UK coroners who used the fingerprint-based method to detect drug use in deceased individuals. This expands the potential of fingerprint drug testing beyond workplace and roadside screening, demonstrating its viability for use in forensic and pathology settings.

The findings underscore the growing relevance of fingerprint-based testing in both living and post-mortem scenarios. As interest increases in fast, easy-to-administer drug tests that respect privacy and minimize biohazard risks, this research positions fingerprint sweat analysis as a practical solution for a wide range of real-world applications.

Read the article:

Drug Screening using the sweat of a fingerprint: Lateral flow detection of Δ9-tetrahydrocannabinol, cocaine, opiates and amphetamine
Hudson M., Stuchinskaya T., Ramma S., Patel J., Sievers C., Goetz S., Hines S., Menzies E., & Russell D. A.
Journal of Analytical Toxicology (2018), 10.1093/jat/bky068