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

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 p...

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Main Authors: Hamzah, Noor Hazfalinda, Mohd Aris, Farah Natasha, Mukhni, Nur Hayatna, Balayssac, Stéphane, Danoun, Saïda, Gilard, Véronique, Abdull Manap, Mohd Rashidi
Format: Article
Language:English
Published: Elsevier Inc. 2025
Online Access:http://psasir.upm.edu.my/id/eprint/118525/
http://psasir.upm.edu.my/id/eprint/118525/1/118525.pdf
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author Hamzah, Noor Hazfalinda
Mohd Aris, Farah Natasha
Mukhni, Nur Hayatna
Balayssac, Stéphane
Danoun, Saïda
Gilard, Véronique
Abdull Manap, Mohd Rashidi
author_facet Hamzah, Noor Hazfalinda
Mohd Aris, Farah Natasha
Mukhni, Nur Hayatna
Balayssac, Stéphane
Danoun, Saïda
Gilard, Véronique
Abdull Manap, Mohd Rashidi
author_sort Hamzah, Noor Hazfalinda
building UPM Institutional Repository
collection Online Access
description 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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spelling upm-1185252025-07-15T07:18:18Z http://psasir.upm.edu.my/id/eprint/118525/ Dataset of NIR, MIR, FIR and NMR spectroscopy and GC-MS of real samples of e-liquids from Malaysia Hamzah, Noor Hazfalinda Mohd Aris, Farah Natasha Mukhni, Nur Hayatna Balayssac, Stéphane Danoun, Saïda Gilard, Véronique Abdull Manap, Mohd Rashidi 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. Elsevier Inc. 2025-06 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/118525/1/118525.pdf Hamzah, Noor Hazfalinda and Mohd Aris, Farah Natasha and Mukhni, Nur Hayatna and Balayssac, Stéphane and Danoun, Saïda and Gilard, Véronique and Abdull Manap, Mohd Rashidi (2025) Dataset of NIR, MIR, FIR and NMR spectroscopy and GC-MS of real samples of e-liquids from Malaysia. Data in Brief, 60. art. no. 111591. pp. 1-55. ISSN 2352-3409; eISSN: 2352-3409 https://linkinghub.elsevier.com/retrieve/pii/S2352340925003233 10.1016/j.dib.2025.111591
spellingShingle Hamzah, Noor Hazfalinda
Mohd Aris, Farah Natasha
Mukhni, Nur Hayatna
Balayssac, Stéphane
Danoun, Saïda
Gilard, Véronique
Abdull Manap, Mohd Rashidi
Dataset of NIR, MIR, FIR and NMR spectroscopy and GC-MS of real samples of e-liquids from Malaysia
title Dataset of NIR, MIR, FIR and NMR spectroscopy and GC-MS of real samples of e-liquids from Malaysia
title_full Dataset of NIR, MIR, FIR and NMR spectroscopy and GC-MS of real samples of e-liquids from Malaysia
title_fullStr Dataset of NIR, MIR, FIR and NMR spectroscopy and GC-MS of real samples of e-liquids from Malaysia
title_full_unstemmed Dataset of NIR, MIR, FIR and NMR spectroscopy and GC-MS of real samples of e-liquids from Malaysia
title_short Dataset of NIR, MIR, FIR and NMR spectroscopy and GC-MS of real samples of e-liquids from Malaysia
title_sort dataset of nir, mir, fir and nmr spectroscopy and gc-ms of real samples of e-liquids from malaysia
url http://psasir.upm.edu.my/id/eprint/118525/
http://psasir.upm.edu.my/id/eprint/118525/
http://psasir.upm.edu.my/id/eprint/118525/
http://psasir.upm.edu.my/id/eprint/118525/1/118525.pdf