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
(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.
(Less)
- author
- Hamzah, Noor Hazfalinda
; Aris, Farah Natasha Mohd
; Mukhni, Nur Hayatna
; Balayssac, Stéphane
; Danoun, Saïda
; Gilard, Véronique
and Manap, Mohd Rashidi Abdull
LU
- organization
- publishing date
- 2025-06
- 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
-
- scopus:105004873686
- pmid:40486218
- 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
- 2025-08-25 13:03:58
@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}},
}