Objective: To analyze the screening of prescription for the total coumarins of Angelica dahurica var. formosana sustained release tablets, and to preliminarily discuss the releasing mechanism.
Methods: On the basis of orthogonal test data, the prescriptions were screened and optimized by adopting the artificial neural network technology and by taking the in vitro release rate at the setting time as the evaluation indicator.
Results: The in vitro release performance of sustained release tablets prepared by the screened optimal technology was good, and the drugs released continuously for 12 h. The drug release process was fitted by adopting the Ritger-Peppas equation. The release of these tablets in artificial gastric juice could be described as the combined action of diffusion and skeleton dissolution.
Conclusions: Artificial neural network technology can be used to design the pharmacy prescription, optimize the process, solve nonlinear problems with multiple factors and multiple levels, and reduce the experimental workload. So it has broad application prospect.
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