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Extraction of Flavonoids from Eclipta Alba and White Mulberry Root-bark by Combining Surfactant with Enzyme and Microwave-assisted Techniques

Author: ChenHuiDan
Tutor: HanWei
School: East China University of Science and Technology
Course: Of Pharmacy
Keywords: Flavonoids Cellulase Surfactant Microwave extraction
CLC: R284.2
Type: Master's thesis
Year: 2011
Downloads: 89
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Abstract


In this paper, Eclipta , Morus alba extraction system using the enzymatic - surfactant collaborative microwave extraction of total flavonoids . First analysis methods using ultraviolet spectrophotometry (UV) of the total flavonoids investigated the type and concentration of the type and concentration of the enzyme preparation , surface active agent , reaction temperature , pH value , hydrolysis time , the ratio of liquid to solid , microwave radiation time , microwave extraction series and other factors Eclipta , Sangbaipi , the yield of flavonoids . According to the test results of the single factor quadratic orthogonal rotation combination test optimize the extraction process , compared with other extraction methods . Studies have shown that the best conditions Eclipta Flavonoids : of cellulase concentration 1.00 g / L , hydrolysis temperature 54 ° C , the enzymatic time 90 min , 21 mL of liquid to solid ratio / g , pH value 6.0, Tween 60 concentration of 2.4 g / L , microwave extraction time 142s, under the conditions of this extract , Eclipta flavonoids was 1.38% . Morus alba flavonoids optimal extraction conditions : the cellulase enzyme 0.75 g / L Tween 60 concentration of 2.0g / L , the ratio of liquid to solid 33 mL / g , the pH value of 6.0, hydrolysis temperature 45 ° C , enzymatic hydrolysis time 45 min, microwave radiation 170 s, measured Sangbaipi flavonoids was 0.68% . Quadratic orthogonal rotation combination test data BPNN training , the establishment of a model to simulate the back-propagation neural network (BPNN) Eclipta of flavonoids , Sangbaipi flavonoids extracted . Uniform design to optimize the network parameters to obtain a good prediction performance BPNN prediction model training average relative error of 0.17% and 0.18% .

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CLC: > Medicine, health > Chinese Medicine > Of Pharmacy > Traditional Chinese medicine chemical > Separation and extraction of active ingredients
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