کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8692720 | 1581557 | 2017 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Optimization of ultrasound-assisted extraction of Helicteres hirsuta Lour. for enhanced total phenolic compound and antioxidant yield
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
علوم کشاورزی و بیولوژیک (عمومی)
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چکیده انگلیسی
Using response surface methodology, this study aimed to optimize five different ultrasound extraction parameters; including ultrasonic temperature, ultrasonic time, ultrasonic power, sample-to-solvent ratio and methanol concentration, for maximal extraction of bioactive compounds and antioxidant capacity from Helicteres hirsuta Lour. (H. hirsuta), which has been used as a traditional medicine for malaria and diabetes treatment. Results showed that either ultrasonic temperature or sample-to-solvent ratio had a greater influence on extraction efficiency of total phenolics, flavonoids and antioxidant capacity than that of methanol concentration. Optimal extraction conditions were determined to be ultrasonic temperature of 60 °C, ultrasonic time of 25 min, ultrasonic power of 150W, sample-to-solvent ratio of 3:100 g/mL, and a solvent composition of 40% (v/v) aqueous methanol. Under these conditions, 15.97 mg GAE/g of phenolics, 16.42 mg CE/g of flavonoids, and 13.34 g/100 g of extractable solids were obtained. The highest values for DPPH, ABTS and FRAP assays were also obtained under these conditions, with the exception of CUPRAC (88% maximum value). These optimal extraction conditions can be applied to prepare powdered crude extract for further isolation and purification of individual bioactive compounds for potential use in the pharmaceutical industry.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Applied Research on Medicinal and Aromatic Plants - Volume 7, December 2017, Pages 113-123
Journal: Journal of Applied Research on Medicinal and Aromatic Plants - Volume 7, December 2017, Pages 113-123
نویسندگان
Hong N.T. Pham, Quan Van Vuong, Michael C. Bowyer, Christopher J. Scarlett,