ArticleForensic science, medicine, and pathology2025
Detection of common drug metabolites in urine using attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR).
Article in Forensic science, medicine, and pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Interpol review of forensic drug chemistry, 2022-2025.Forensic science international. Synergy · 2026Review
- Article
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Authors and funding
5 authors.
Funding
Abstract
This study seeks to establish a rapid, non-invasive methodology for the detection of drug abuse through the identification of common urinary drug metabolites utilizing attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR). ATR-FTIR spectroscopy was employed to detect and differentiate metabolites of heroin (6-AM), ecstasy (MDA), and cocaine (BE) in urine samples across a range of concentrations. Advanced chemometric approaches, encompassing principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), and orthogonal partial least squares discriminant analysis (OPLS-DA), were applied to construct robust discriminative models. Spectral data from both the fingerprint region and the full spectral range were analyzed to maximize analytical precision. The proposed ATR-FTIR method demonstrated remarkable sensitivity, achieving detection of drug metabolites in urine at concentrations as low as 0.02 mg/mL without necessitating sample separation or extraction steps. The OPLS-DA model exhibited superior discriminative performance, effectively distinguishing all three metabolites in both calibration and validation sets. These findings underscore the potential of integrating ATR-FTIR with chemometrics for the development of a rapid and reliable drug screening tool. This pilot investigation demonstrates that the integration of ATR-FTIR spectroscopy with chemometric analysis represents a highly promising strategy for the detection of urinary drug metabolites, circumventing the need for complex sample pretreatment procedures. This approach offers a novel, efficient, and non-invasive solution for the rapid identification of drug abuse, with substantial implications for forensic medicine and public health surveillance.
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Registered trials
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