RSM-rCCD Optimizing for Paclitaxel Extraction from Taxus chinensis byNatural Deep Eutectic Solvents and Studying Antioxidant Activity
Background: Paclitaxel from Taxus chinensis contains medicinal properties to treat various cancer diseases. Thus, extracting paclitaxel from Taxus chinensis had aroused a wide of research interests. Methods: Ultrasonic-assisted extraction (UAE) has high extraction efficiency, and natural deep eutectic solvents (NADESs) have the advantages of being green, natural, and non-toxic. As a result, the UAE-NADESs were introduced to extract paclitaxel from Taxus chinensis. The ideal NADES composed of choline chloride and malic acid was achieved at a molar ratio of 1:1, with the optimal extraction parameters identified through single-factor experiments. Response Surface Methodology of rotatable Central Composite Design (RSM-rCCD) was applied to further optimize the extraction conditions. Results: The ultimate optimum circumstances of ultrasonic power is 240 W, extraction time is 49 min, solid/liquid ratio is 1:18, extraction temperature is 38°C, and the maximum extraction yield reached 5.94 mg/g. Their IC50 values of paclitaxel extract for DPPH• (2,2-diphenyl-1- picrylhydrazyl), ABTS+• (2,2’-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid)) and·•OH (Hydroxyl radical) radicals were 23.47, 46.62 and 309.73 mg/L, respectively. method: Ultrasonic-assisted extraction; single factor-experiments; response surface methodology; antioxidant activities of paclitaxel extract. Conclusion: This article demonstrates the increased extraction yield of paclitaxel, which has strong antioxidant activity.
Authors
- Izni Atikah Abd Hamid (ORCID: https://orcid.org/0009-0002-4997-4669)
- Josephine Quan
- Ying Guo (ORCID: https://orcid.org/0000-0002-3811-5255)
- Mieow Kee Chan (ORCID: https://orcid.org/0000-0002-0805-9395)
Institutions
- SEGi University (MY)
Publication Details
- Journal
- Current Analytical Chemistry
- Published
- 2025-04-09
- DOI
- https://doi.org/10.2174/0115734110367450250323104325
- Primary Topic
- Cancer Treatment and Pharmacology
- Type
- article
- Field-Weighted Citation Impact
- 0.00