Chemometric Analysis of Fourier Transform Infrared Spectra for the Detection of Cotinine in Fingernails of E-Cigarette Users
Yong Gong Yu, Putera Danial Izzat Kamaruzaman, Shaun Wyrennraj Ganaprakasam, Nurul Ain Abu Bakar, Eddy Saputra Rohmatul Amin, Muhammad Jefri Mohd Yusof

TL;DR
This study shows that FTIR spectroscopy with chemometric analysis can effectively detect cotinine in fingernails of e-cigarette users, offering a new method for assessing nicotine exposure.
Contribution
The study introduces a novel application of FTIR and chemometrics for cotinine detection in e-cigarette users' fingernails.
Findings
Cotinine was detected in e-cigarette users with a distinct absorption band near 1277 cm−1.
Chemometric models achieved complete discrimination between e-cigarette users and non-smokers.
PLS-DA model showed excellent predictive performance with an ROC curve area of 1.0.
Abstract
Nicotine exposure from e-cigarette use remains a growing public health concern, necessitating reliable biomarkers and analytical approaches for long-term exposure assessment. This study aimed to investigate the feasibility of detecting and classifying cotinine, the primary metabolite of nicotine, in fingernails of e-cigarette users using Fourier transform infrared (FTIR) spectroscopy coupled with chemometric analysis. Fingernail samples were collected and extracted from 30 e-cigarette users and 30 non-smokers. Infrared spectra were acquired in attenuated total reflectance mode and analysed using principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) for classification and prediction. Distinct spectral features associated with cotinine were observed in smoker samples, particularly an absorption band near 1277 cm−1 corresponding to C–N stretching…
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Taxonomy
TopicsForensic Fingerprint Detection Methods · Pesticide Exposure and Toxicity · Spectroscopy and Chemometric Analyses
