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Dataset of NIR, MIR, FIR and NMR spectroscopy and GC-MS of real samples of e-liquids from Malaysia

Hamzah, Noor Hazfalinda ; Aris, Farah Natasha Mohd ; Mukhni, Nur Hayatna ; Balayssac, Stéphane ; Danoun, Saïda ; Gilard, Véronique and Manap, Mohd Rashidi Abdull LU orcid (2025) In Data in Brief 60.
Abstract

This dataset presents comprehensive spectroscopic and chromatographic profiling of 27 e-liquid samples including commercial formulations, a booster, and a nicotine solution (the e-liquids were collected in Ampang Jaya, Malaysia before April 2023). Fourier-transform infrared (FTIR) spectroscopy was performed across the near-, mid-, and far-infrared ranges (6000–80 cm−1), generating unique transmittance spectra for each sample. These spectra revealed vibrational bands characteristic of nicotine, propylene glycol, vegetable glycerine, and various additives, supporting rapid qualitative fingerprinting and comparison through OPUS software. 1H nuclear magnetic resonance (NMR) spectroscopy, conducted using a 600 MHz... (More)

This dataset presents comprehensive spectroscopic and chromatographic profiling of 27 e-liquid samples including commercial formulations, a booster, and a nicotine solution (the e-liquids were collected in Ampang Jaya, Malaysia before April 2023). Fourier-transform infrared (FTIR) spectroscopy was performed across the near-, mid-, and far-infrared ranges (6000–80 cm−1), generating unique transmittance spectra for each sample. These spectra revealed vibrational bands characteristic of nicotine, propylene glycol, vegetable glycerine, and various additives, supporting rapid qualitative fingerprinting and comparison through OPUS software. 1H nuclear magnetic resonance (NMR) spectroscopy, conducted using a 600 MHz Bruker spectrometer with cryoprobe, enabled molecular-level identification of sample matrices. Signals from nicotine, propylene glycol, vegetable glycerine, and flavourings were resolved, with spectral expansion in the region of 5.5–10.5 ppm highlighting proton signals that differentiate nicotine forms and concentrations. Meanwhile, gas chromatography-mass spectrometry (GC-MS) analysis of all samples provided compound identification, detecting over 30 volatile compounds per sample including nicotine, esters, aldehydes, and nicotine-related degradation products. The results, available as chromatograms and tabulated peak profiles, highlight the presence of nicotine (including nicotine-N’-oxide), ethyl maltol, vanillin, and prohibited or potentially harmful compounds such as benzaldehyde derivatives. Collectively, these datasets offer a robust foundation for regulatory of nicotine in Malaysia, compositional fingerprinting, and substances screening of e-liquids using FTIR, GC-MS, and NMR as complementary tools.

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author
; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
ATR-FTIR, e-liquid, GC-MS, Malaysia, proton NMR
in
Data in Brief
volume
60
article number
111591
publisher
Elsevier
external identifiers
  • pmid:40486218
  • scopus:105004873686
ISSN
2352-3409
DOI
10.1016/j.dib.2025.111591
language
English
LU publication?
yes
id
5e4ff926-e375-4062-aaba-44dae91dfc0c
date added to LUP
2025-07-28 10:29:38
date last changed
2025-07-29 11:20:40
@article{5e4ff926-e375-4062-aaba-44dae91dfc0c,
  abstract     = {{<p>This dataset presents comprehensive spectroscopic and chromatographic profiling of 27 e-liquid samples including commercial formulations, a booster, and a nicotine solution (the e-liquids were collected in Ampang Jaya, Malaysia before April 2023). Fourier-transform infrared (FTIR) spectroscopy was performed across the near-, mid-, and far-infrared ranges (6000–80 cm<sup>−1</sup>), generating unique transmittance spectra for each sample. These spectra revealed vibrational bands characteristic of nicotine, propylene glycol, vegetable glycerine, and various additives, supporting rapid qualitative fingerprinting and comparison through OPUS software. <sup>1</sup>H nuclear magnetic resonance (NMR) spectroscopy, conducted using a 600 MHz Bruker spectrometer with cryoprobe, enabled molecular-level identification of sample matrices. Signals from nicotine, propylene glycol, vegetable glycerine, and flavourings were resolved, with spectral expansion in the region of 5.5–10.5 ppm highlighting proton signals that differentiate nicotine forms and concentrations. Meanwhile, gas chromatography-mass spectrometry (GC-MS) analysis of all samples provided compound identification, detecting over 30 volatile compounds per sample including nicotine, esters, aldehydes, and nicotine-related degradation products. The results, available as chromatograms and tabulated peak profiles, highlight the presence of nicotine (including nicotine-N’-oxide), ethyl maltol, vanillin, and prohibited or potentially harmful compounds such as benzaldehyde derivatives. Collectively, these datasets offer a robust foundation for regulatory of nicotine in Malaysia, compositional fingerprinting, and substances screening of e-liquids using FTIR, GC-MS, and NMR as complementary tools.</p>}},
  author       = {{Hamzah, Noor Hazfalinda and Aris, Farah Natasha Mohd and Mukhni, Nur Hayatna and Balayssac, Stéphane and Danoun, Saïda and Gilard, Véronique and Manap, Mohd Rashidi Abdull}},
  issn         = {{2352-3409}},
  keywords     = {{ATR-FTIR; e-liquid; GC-MS, Malaysia; proton NMR}},
  language     = {{eng}},
  publisher    = {{Elsevier}},
  series       = {{Data in Brief}},
  title        = {{Dataset of NIR, MIR, FIR and NMR spectroscopy and GC-MS of real samples of e-liquids from Malaysia}},
  url          = {{http://dx.doi.org/10.1016/j.dib.2025.111591}},
  doi          = {{10.1016/j.dib.2025.111591}},
  volume       = {{60}},
  year         = {{2025}},
}