Extraction process optimization of naphthoquinone from Walnut green husk based on Box-Behnken design-response surface methodology and back propagation neural network
Objective To optimize the extraction process of naphthoquinone from Walnut green husk with ethanol volume fraction,solid-liquid ratio and extraction temperature as the influencing factors on the basis of a single factor test,and study the in vitro antioxidant activity of the extract.Methods The alcohol extraction method was used to extract naphthoquinone from Walnut green husk,and extraction process was optimized by Box-Behnken design-response surface methodology and back propagation neural network simulation.The scavenging capacity of naphthoquinone from Walnut green husk on hydroxyl radical(HO·),superoxide anion radical(O2·)and 1,1-diphenyl-2-trinitrophenylhydrazine radical(DPPH·)were determined.Results The optimal extraction condition was as follows:ethanol volume fraction of 40％,solid-liquid ratio of 1∶30(g/mL),extraction temperature of 70 ℃,extraction time of 2 h,and the extraction amount of naphthoquinone obtained was(20.182±1.851)mg/g.The scavenging rates of 0.1 g/L naphthoquinone extract on HO·,O2-·and DPPH were 16.09％,67.28％and 73.00％,respectively.Conclusion The extraction process of naphthoquinone from Walnut green husk is stable and feasible.The naphthoquinone extract from Walnut green husk exhibits good antioxidant activity.
Walnut green huskNaphthoquinoneExtraction process optimizationBox-Behnken design-response surface methodologyNeural networkIn vitro antioxidant
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