Issue |
BIO Web Conf.
Volume 135, 2024
4th International Conference on Pharmaceutical Updates (ICPU 2024)
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Article Number | 01002 | |
Number of page(s) | 9 | |
Section | Active Ingredients Discovery | |
DOI | https://doi.org/10.1051/bioconf/202413501002 | |
Published online | 07 November 2024 |
The Green Analytical Method of Detecting Analgesic and Anti-inflammation Drugs in Pain Reliever Herbal Using Spectroscopy FTIR-ATR Combined with Multivariate Analysis
1 Doctoral Student in the Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia
2 Pharmacy Department, Faculty of Medical and Health Sciences, Universitas Muhammadiyah Yogyakarta, 55183, Indonesia
3 Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Universitas Gadjah Mada, Sekip Utara, Yogyakarta, 55281, Indonesia
4 Institute of Halal Industry and System (IHIS), Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia
5 Department of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia
* Corresponding author: dharmastuti.cahya@umy.ac.id
Green analytical method performed optimal result to detecting any adulterant in many pharmaceutical products. The increasing level of herbal traditional consumption, especially pain reliever herbal medicine insists on several irresponsible parties to intentionally add illegal drugs into pain reliever herbal to make false positive effect on consumers. The aim of this study is developing the combination between spectroscopy FTIR-ATR and multivariate analysis in identifying synthetic drugs adulteration in pain reliever herbal. Pain reliever herbal product (AJSP), ten antiinflammation drugs, and mixture model of AJSP and each drug. All samples were recorded using FTIR-ATR. The spectra data obtained were analysed using multivariate analysis Principal Component Analysis (PCA) and Linear Discriminant analysis to know the capability of FTIR-ATR in determining synthetic drugs. Those method exhibited suboptimal result while distinguishing those adulteration model. This result needs more research to find the optimal method for detecting synthetic drugs in large matrix herbal product.
© The Authors, published by EDP Sciences, 2024
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