Objective To optimize the extraction process of total flavonoids from rapeseed pollen.Method Using the dry paste yield,DPPH·clearance rate,total peak area,and indicator peak area as evaluation indicators,a comprehensive evaluation index is obtained by assigning weights using the entropy weight method.On the basis of single factor experiments,a spectral efficiency relationship was estab-lished for the HPLC fingerprint of rapeseed pollen extract using Box Behnken response surface method-DPPH·clearance rate,and the correlation degree was calculated.The peak area of the fingerprint was corrected using the correlation degree.The optimal extraction pro-cess was obtained by comparing Box Behnken response surface method with BP neural network.Result The optimal extraction process obtained through Box Behnken response surface method was ethanol concentration of 70％,solid-liquid ratio of 1∶25(g∶mL),and reflux time of 30 minutes.The optimal extraction process predicted by BP neural network is ethanol concentration of 70％,solid-liquid ratio of 1∶30(g∶mL),and reflux time of 40 minutes.After verification,the comprehensive evaluation index of BP neural network is 1.120 4,which is better than the comprehensive evaluation index of Box Behnken response surface method,which is 0.894 7.Conclusion The op-timized extraction process of total flavonoids from rapeseed pollen is stable and reliable,providing a theoretical basis for the deep develop-ment of rapeseed pollen.
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