LUO Ni-ni, CHENG Ling, FU Chao-mei, et al. Optimization of Processing Technology for by Orthogonal Test and Artificial Neural Network Model[J]. Chinese journal of experimental traditional medical formulae, 2014, 20(24): 10-13.
DOI:
LUO Ni-ni, CHENG Ling, FU Chao-mei, et al. Optimization of Processing Technology for by Orthogonal Test and Artificial Neural Network Model[J]. Chinese journal of experimental traditional medical formulae, 2014, 20(24): 10-13. DOI: 10.13422/j.cnki.syfjx.2014240010.
Optimization of Processing Technology for by Orthogonal Test and Artificial Neural Network Model
并通过人工神经网络模型进一步优化炮制工艺参数. 结果: 最佳醋煮工艺为加20%米醋和6倍量水浸润5 h
煎煮时间1.5 h;姜黄素、挥发油提取量及干膏收率分别为0.071 mg·g-1
0.96 mL
26.68%. 结论: 正交设计与人工神经网络模型联用优选的蓬莪术醋煮工艺稳定可行、重复性好
为完善醋莪术的质量标准提供参考.
Abstract
Objective: To optimize processing technology of Curcuma phaeocaulis
in order to provide experimental basis for dose-response change of components and mechanism research of Poxue Xingqi before and after being processed of this herb. Method: Taking extracting amounts of curcumin and volatile oil
dry extract yield as indexes
orthogonal design was adopted to optimize processing technology with boiling time
soaking time
amounts of vinegar and water as factors
then processing parameters were further optimized by artificial neural network model. Result: Optimum processing technology was as following:soaked 5 h with 20% vinegar and 6 times the amount of water
boiling time of 1.5 h;extracting amounts of curcumin and volatile oil
dry extract yield were 0.071 mg·g-1
0.96 mL and 26.68%
respectively. Conclusion: This process is stable and feasible with good repeatability
it can provide a reference for improving quality standard system of C. phaeocaulis.