Optimization of Extraction and Antioxidant Activities of Resveratrol from Polygonum cuspidatum by Ultrasound-Assisted Natural Deep Eutectic Solvent Method

Read full text
Authors: Ying Guo, Siyi Wan, Yue Gu, Ting He, Zhaoyuan Chen, Xiaoxiao Qu, Jiaxin Quan, Junkai Ma, Izni Atikah Abd Hamid
Cited by: 2
References: 64

Abstract

Polygonum cuspidatum, a traditional medicinal plant widely cultivated in Hubei Province, China, contains resveratrol, which has been shown to regulate lipoprotein metabolism, inhibit platelet aggregation, and aid in the prevention of arteriosclerosis and cardiovascular diseases. However, conventional extraction methods are often limited by low efficiency and solvent toxicity. A novel extraction strategy integrating an ultrasound-assisted extraction with natural deep eutectic solvents (NADES) was developed to achieve environmentally friendly and effective recovery of resveratrol from Polygonum cuspidatum. The optimized NADES system consisted of betaine and DL-malic acid in a 1:4 molar ratio with 50% water content. Using single-factor experiments and Response Surface Methodology, the following parameters were identified as optimum: solid–liquid ratio, 1:28 g/mL; ultrasonic power, 240 W; ultrasonic temperature, 40 °C; and ultrasonic time, 30 min. In such a case, the resveratrol yield reached 33.12 mg/g by UV-Vis spectroscopy and 2.95 mg/g by HPLC analysis, significantly higher than that obtained by other methods. Antioxidant assays demonstrated that the extract exhibited strong scavenging activity against ABTS+•, DPPH•, and •OH radicals. These results demonstrate that the ultrasound-assisted extraction with NADES method provides an efficient and eco-friendly alternative for extracting resveratrol from Polygonum cuspidatum, yielding extracts with notable antioxidant properties.

Fields of Study & Subjects

Sirtuins and Resveratrol in Medicine Phytochemicals and Antioxidant Activities Phytochemistry and biological activity of medicinal plants

Publication details

Journal / source
Molecules
Publisher
MDPI AG
Volume
31
Issue
3
Pages
492–492
Publication date
30 January 2026
Language
EN