Optimization of Preparation Technology of Phellodendri Atractylodes Rhizome Water Pills Based on Entropy Weight Method Combined with Central Composite Design-Response Surface Method and Back Propagation Artificial Neural Network

OBJECTIVE To optimize the preparation process of Phellodendri Atractylodes Rhizome water pills.

METHODS Took the sum of water content of pills, dissolution time limit of pills, appearance score, berberine hydrochloride, Atractylodes lancea, imperatorin and tetrandrine and tetrandrine as evaluation indexes, and took extrusion-rolling ratio, water addition amount and drying time as influencing factors, after single-factor experimental research, entropy weight method was used for comprehensive evaluation, and then response surface methodology was adopted to optimize process parameters of Phellodendri Atractylodes lancea water pills. At the same time, by the back propagation artificial neural network(BP-ANN) to predict optimal process parameters, verify and compare the results of the two fomers.

RESULTS  The optimum technological conditions were as follows: the ratio of extrusion to rolling was 1∶1.2, the water addition was 26%, the drying time was 8.2 hours, and the comprehensive score of each evaluation index was the highest; BP-ANN neural network was more accurate and stable than response surface technology in optimizing process parameters.

CONCLUSION  The optimized process technology of Phellodendri Atractylodes rhizome water pills is scientific, reasonable, stable and feasible, which lays a good foundation for subsequent mass production control and the establishment of quality standard.