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Moorey, P, Imtiaz, F, Shabbir, AS, Pervez, N and Al-Jumeily, D (2023) Identification of Counterfeit Tobacco using Attenuated Total Reflectance Fourier Transform Infrared, Raman, and Near-Infrared Spectroscopy. Currents in Pharmaceutical Research, 1 (2). pp. 40-87. ISSN 3007-3235
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Identification of Counterfeit Tobacco using Attenuated Total Reflectance Fourier Transform Infrared, Raman, and Near-Infrared Spectroscopy.pdf - Published Version Available under License Creative Commons Attribution. Download (1MB) | Preview |
Abstract
Counterfeit and illicit tobacco may contain potentially toxic organic impurities that result in adverse health effects for the consumer. Carcinogenic substances have been found in elevated concentrations in counterfeit tobacco. The current study explored swift and cost-effective methods, such as Fourier-transform infrared, Raman, and near-infrared spectroscopy to identify counterfeit tobacco products. Moreover, it also assessed the spectral quality based on range, number of peaks, maximum peak intensity, and signal-to-noise ratio. In spectral analysis, infrared exhibited superior quality over Raman and near-infrared with a higher signal-to-noise ratio. Near-infrared, although with a limited wavelength range, showed good quality. Raman, however, displayed poor spectral quality due to noise interference. Identification success varied with chemo-metric methods, with infrared correctly identifying four out of five counterfeit tobacco products and near-infrared identifying three out of five. Raman failed in identification, while infrared showed success with some mismatches using principal component analysis. Near-infrared and Raman successfully identified counterfeit tobacco, with near-infrared providing the most distinct separation. Quantification results varied across spectroscopy techniques and chemo-metric methods.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | 40 Engineering; 4206 Public Health; 42 Health Sciences; 3 Good Health and Well Being |
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Computer Science and Mathematics |
| Publisher: | University of Management and Technology |
| SWORD Depositor: | A Symplectic |
| Date Deposited: | 06 Feb 2025 12:09 |
| Last Modified: | 06 Feb 2025 12:15 |
| DOI or ID number: | 10.32350/cpr.12.03 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/25556 |
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