# Chemometric Analysis of Fourier Transform Infrared Spectra for the Detection of Cotinine in Fingernails of E-Cigarette Users

**Authors:** Yong Gong Yu, Putera Danial Izzat Kamaruzaman, Shaun Wyrennraj Ganaprakasam, Nurul Ain Abu Bakar, Eddy Saputra Rohmatul Amin, Muhammad Jefri Mohd Yusof

PMC · DOI: 10.3390/molecules31050791 · 2026-02-27

## 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.

## Key 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 vibrations. Quantitative analysis revealed significantly higher cotinine concentrations in smokers compared with non-smokers (p < 0.05, Mann–Whitney U test). Chemometric modelling achieved complete discrimination between groups, with the PLS-DA model demonstrating excellent predictive performance and an area under the receiver operating characteristic (ROC) curve of 1.0. These findings indicate that FTIR spectroscopy combined with chemometric tools provides a rapid and effective approach for cotinine detection in fingernails, supporting its potential application in nicotine exposure assessment.

## Linked entities

- **Chemicals:** cotinine (PubChem CID 408), nicotine (PubChem CID 942)

## Full-text entities

- **Chemicals:** Nicotine (MESH:D009538), Cotinine (MESH:D003367)

## Figures

12 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12985746/full.md

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Source: https://tomesphere.com/paper/PMC12985746