Journal
JOURNAL OF LIQUID CHROMATOGRAPHY & RELATED TECHNOLOGIES
Volume 39, Issue 8, Pages 394-400Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/10826076.2016.1169424
Keywords
Multi-objective response surface methodology; paclitaxel; taxoids; Taxus. media; ultrasonic-assisted extraction
Funding
- National Natural Science Foundation of China [21366019, 20806037, 20876131]
- Jiangxi Province Young Scientists (Jinggang Star) Cultivation Plan [20112BCB23002]
- Jiangxi Province Higher School Science and Technology Landing Plan Projects [KJLD13012]
- Special Funds for Graduate Student Innovation in Jiangxi Province [YC2014-S013]
- Jiangxi Province Undergraduate Innovation and Entrepreneurship Training Program [201310403040]
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A multi-objective response surface methodology (RSM) based on a desirability function analysis (DFA) was used to model and optimize the operational parameters of ultrasonic-assisted extraction of three main taxoids in the twigs of Taxus. media. Liquid-solid ratio, extraction temperature, extraction time, and ultrasonic power were chosen as four independent variables, with three objective variables considered: the extraction yields of 10-deacetylbaccatin III (10-DAB III), cephalomannine and paclitaxel. Under the predicted conditions with the highest desirability'', compared with the predicted value, the goodness of fit for the experiment extraction yields of 10-DAB III, cephalomannine and paclitaxel was 97.36, 100.81, and 97.46%, respectively. Analysis of variance (ANOVA), regression analysis, and verification test indicated a satisfactory correlation between the experimental data and predicted values. These results showed that RSM and DFA were good methods to solve the problem of multi-objective optimization.
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