| Issue |
EPJ Web Conf.
Volume 344, 2025
AI-Integrated Physics, Technology, and Engineering Conference (AIPTEC 2025)
|
|
|---|---|---|
| Article Number | 01050 | |
| Number of page(s) | 7 | |
| Section | AI-Integrated Physics, Technology, and Engineering | |
| DOI | https://doi.org/10.1051/epjconf/202534401050 | |
| Published online | 22 December 2025 | |
https://doi.org/10.1051/epjconf/202534401050
UV-Vis spectroscopy combined with chemometrics for discriminating gamma-irradiated Javanese long pepper (Piper retrofractum Vahl) extracts
1 Department of Agroindustrial Technology, University of Trunodjoyo Madura, Bangkalan, East Java 69162, Indonesia
2 Spices and Medicinal Studies Centre, University of Trunodjoyo Madura, Bangkalan, 69162, Indonesia
3 Department of Agroecotechnology, University of Trunodjoyo Madura, Bangkalan, East Java 69162, Indonesia
4 Department of Pharmacy, University of Islam Madura, Pamekasan, East Java 69317, Indonesia
* Corresponding author: askurrahman@trunojoyo.ac.id
Published online: 22 December 2025
Javanese long pepper ( Piper retrofractum Vahl) is an Indonesian spice known for its main bioactive compound, piperine, which exhibits various pharmacological properties. This study aimed to develop a rapid, non-destructive analytical approach to classify Javanese long pepper extracts exposed to different doses of gamma irradiation using UV-Vis spectroscopy combined with chemometrics. The absorption spectra of 25 extract samples treated with irradiation doses of 0, 250, 500, 750, and 1000 kGy were recorded in the wavelength range of 200–700 nm. Partial Least Squares–Discriminant Analysis (PLS- DA) and Hierarchical Cluster Analysis (HCA) were applied to identify spectral variations and construct classification models. The chemometric models successfully differentiated between non-irradiated and irradiated extracts, indicating that gamma irradiation significantly influenced the UV-Vis spectral characteristics of the samples. These findings demonstrate that combining UV-Vis spectroscopy and multivariate analysis provides a reliable and efficient method to monitor irradiation-induced changes in P. retrofractum extracts. This approach offers potential applications for quality control and authentication of irradiated herbal materials.
© The Authors, published by EDP Sciences, 2025
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