Identification of Cosmetics Using Near-Infrared Spectroscopy
Authors: Thomas, J., Rowlands, S., Al-Jumeily, D., Ginige, T. and Assi, S.
Journal: Proceedings International Conference on Developments in Esystems Engineering Dese
Pages: 305-309
ISSN: 2161-1343
DOI: 10.1109/DeSE63988.2024.10911935
Abstract:Non-destructive identification of cosmetics is essential to confirm their identity and purity. Near-infrared (NIR) spectroscopy provides a fast and non-destructive method for cosmetic identification. For this study, 99 raw materials and 30 products were measured using a palm sized NIR spectrometer. Spectral pre-treatment and analysis involved techniques such as multiplicative scatter correction-first derivative (MSC-D1), correlation in wavelength space (CWS), and Principal Component Analysis (PCA) respectively. Among the raw materials, 66 exhibited strong NIR activity, 25 showed medium NIR activity, and eight had weak NIR activity, while all 30 samples were found to be NIR active. The CWS method revealed a high frequency of Type II errors, with 81 out of 99 raw materials mismatching. All 30 of the products also resulted in mismatches. PCA proved to be the more accurate of the data analysis techniques with creams 97% of variance was accounted for in PC1, and PC scores demonstrating strong differentiation among seven of the eight cream products. In contrast, the perfume products displayed 84% variance in PC1 and 13% in PC2, with two of the seven products showing significant discrimination from the others. This study confirmed that NIR spectroscopy is well-suited for this application as it provides a quick analysis time, no sample preparation and allows for sample preservation.
Source: Scopus
Identification of Cosmetics Using Near-Infrared Spectroscopy.
Authors: Thomas, J., Rowlands, S., Obe, D.A.-J., Ginige, T. and Assi, S.
Journal: DeSE
Pages: 305-309
Publisher: IEEE
ISBN: 979-8-3503-6869-7
https://doi.org/10.1109/DeSE63988.2024
Source: DBLP