Welcome to visit Zhongnan Medical Journal Press Series journal website!

Home Articles Vol 36,2023 No.12 Detail

Study on extracting process factor method by orthogonal design based on rough set theory

Published on Dec. 28, 2023Total Views: 1369 times Total Downloads: 434 times Download Mobile

Author: Hong-Xin CUI 1, 2 Shuai-Peng YANG 1 Ning-Jie ZHANG 1 Zi-Han WANG 1 Qiong HUANG 1 Di ZHAO 1, 2 Su-Xiang FENG 1, 2, 3

Affiliation: 1. School of Pharmacy, Henan University of Chinese Medicine, Zhengzhou 450046, China 2. Collaborative Innovation Center for Chinese Medicine and Respiratory Diseases Co-constructed by Henan province & Education Ministry of P.R.China, Henan University of Chinese Medicine, Zhengzhou 450046, China 3. Henan Engineering Research Center of Modern Chinese Medicine Research, Development and Application, Henan University of Chinese Medicine, Zhengzhou 450046, China

Keywords: Rough set theory Orthogonal design Factor Decision rule model

DOI: 10.12173/j.issn.1004-4337.202310040

Reference: Cui HX, Yang SP, Zhang NJ, Wang ZH, Huang Q, Zhao D, Feng SX. Study on extracting process factor method by orthogonal design based on rough set theory[J]. Journal of Mathematical Medicine, 2023, 36(12): 881-887. DOI: 10.12173/j.issn.1004-4337.202310040[Article in Chinese]

  • Abstract
  • Full-text
  • References
Abstract

Objective  To study the inherent law between factors in the pharmaceutical preparation production process, and explore the application of rough set theory to seek the optimal process plan method.

Methods  Take the classic recipe Siwu decoction as an example. Based on preprocessing data of the orthogonal design experiment, the decision table was established, and the rough set rule model was used to analyze.

Results  When the factor levels of the extraction time, the amount of water and the extraction times of Siwu decoction were gradually increased, the content of polysaccharide showed an increasing trend. When the extraction time was 1.5 hours, the amount of water was 1 : 20 and the extraction times were 2, the experimental results were the best and the best combination of three factors and three levels to optimize the extraction process of Siwu decoction.

Conclusion  Rough set theory can be applied to explore the correlation among factors of pharmaceutical production process and the correlation between factors and test results, to reveal its inherent dynamic law more comprehensively and provide a novel research method to further improve the quality of pharmaceutical preparations.

Full-text
Please download the PDF version to read the full text: download
References

1.张爱丽, 刘德军, 苟琼心. 银翘解毒丸制备工艺中绿原酸转移率的影响因素研究[J]. 药物评价研究, 2016, 39(1): 92-96. [Zhang AL, Liu DJ, Gou QX. Study on factors affecting the transfer rate of chlorogenic acid in process of preparing Yinqiaojiedu pills[J]. Drug Evaluation Research, 2016, 39(1): 92-96.] DOI: 10.7501/j.issn.1674-6376.2016.01.017.

2.王璐瑶, 何淑蹇, 冉锐敏, 等. 基于Plackett-Burman试验设计筛选大豆分离蛋白膜制备的主要工艺因素[J]. 中国油脂, 2021, 46(11): 73-77. [Wang LY, He SJ, Ran RM, et al. Screening of main process factors impacting the comprehensive performance of soy protein isolate film using Plackett-Burman design[J]. China Oils and Fats, 2021, 46(11): 73-77.] DOI: 10.19902/j.cnki.zgyz.1003-7969.210039.

3.袁雨冰, 张登山. 正交设计法优化富马酸喹硫平口服混悬液处方工艺[J]. 中国药物应用与监测, 2023, 20(1): 19-23. [Yuan YB, Zhang DS. Optimization of formulation process of quetiapine fumarate oral suspension by orthogonal test[J]. Chinese Journal of Drug Application and Monitoring, 2023, 20(1): 19-23.] DOI: 10.3969/j.issn.1672-8157.2023.01.005.

4.李军, 丁娟, 马志杰. 早期胃癌患者ESD术后迟发性出血危险因素的Logistic回归方程构建及预测价值[J]. 实用癌症杂志, 2023, 38(5): 815-819. [Li J, Ding J, Ma ZJ. Logistic regression equation construction and predictive value of risk factors for delayed bleeding after ESD surgery in patients with early gastric cancer[J]. The Practical Journal of Cancer, 2023, 38(5): 815-819.] DOI: 10.3969 /j.issn.1001-5930.2023.05.031.

5.杨传浩, 于钦辉, 杨勇, 等. 基于正交设计优化桂枝加葛根汤的提取工艺[J]. 中药材, 2022, 45(7): 1696-1698. [Yang CH, Yu QH, Yang Y, et al. Orthogonal design was used to optimize the extraction process of cinnamon twig and kudzu root decoction[J]. Journal of Chinese Medicinal Materials, 2022, 45(7): 1696-1698.] DOI: 10.13863/j.issn1001-4454.2022.07.031.

6.刘会芳, 王振, 张学顺. 基于均匀设计法优化活血止痛凝胶膏剂处方工艺研究[J]. 成都中医药大学学报, 2022, 45(3): 43-48. [Liu HF, Wang Z, Zhang XS. Optimization of formulation process of huoxue zhitong gel paste based on uniform design method[J]. Journal of Chengdu University of Traditional Chinese Medicine, 2022, 45(3): 43-48.] DOI: 10.13593/j.cnki.51-1501/r.2022.03.043.

7.陈家兰, 林芳花, 曹泽粼, 等. 羊栖菜多糖提取工艺的均匀设计法优选及含量测定[J]. 时珍国医国药, 2021, 32(1): 54-57. [Chen JL, Lin FH, Cao ZL, et al. The sargassum fusiforme polysaccharides extraction process was optimized by uniform design method and the content was determined[J]. Lishizhen Medicine and Materia Media Research, 2021, 32(1): 54-57.] DOI: 10.3969/j.issn.1008-0805.2021.01.14.

8.褚旭, 胡宗玉, 王珂清, 等. 粗糙集在烤烟化学质量综合评价中的应用[J]. 中国烟草学报, 2021, 27(4): 20-27. [Chu X, Hu ZY, Wang KQ, et al. Application of rough set in comprehensive evaluation of flue-cured tobacco chemical quality[J]. Acta Tabacaria Sinica, 2021, 27(4): 20-27.] DOI: 10.16472/j.chinatobacco.2020.323.

9.赵婷, 王鹏莉, 张鲁玉, 等. 基于粗糙集理论的MRI设备扫描序列指标体系的优化[J]. 郑州大学学报(医学版), 2020, 55(1): 92-96. [Zhao T, Wang PL, Zhang LY, et al. Optimization of scan sequence indicator system of MRI equipment based on rough set theory[J]. Journal of Zhengzhou University (Medical Sciences), 2020, 55(1): 92-96.] DOI: 10.13705/j.issn.1671-6825. 2019.02.088.

10.侯文婷. 基于粗糙集理论的建筑工程成本分析[J]. 现代电子技术, 2018, 41(19): 83-88. [Hou WT. Cost analysis of construction project based on rough set theory[J]. Modern Electronics Technique, 2018, 41(19): 83-88.] DOI: 10.16652/j.issn.1004-73x.2018.19.020.

11.周凯, 孙宏悦, 姜辉, 等. 基于粗糙集理论和TOPSIS的绿色包装评价方法[J]. 包装工程, 2018, 39(17): 142-146. [Zhou K, Sun HY, Jiang H, et al. The evaluation method of green packaging based on rough set theory and TOPSIS[J]. Packaging Engineering, 2018, 39(17): 142-146.] DOI: 10.19554/j.cnki.1001-3563.2018.17.023.

12.马周明, 林梦雷, 张海洋. 《粗糙集理论及其应用》研究生课程教学改革与实践[J]. 闽南师范大学学报(自然科学版), 2020, 33(1): 93-98. [Ma ZM, Lin ML, Zhang HY. Reform and practice of graduate education course of rough set theory and its application[J]. Journal of Minnan Normal University (Natural Science), 2020, 33(1): 93-98.] DOI: 10.16007/j.cnki.issn2095-7122.2020.01.016.

13.何雁. 中医药统计学[M]. 北京: 中国中医药出版社, 2021: 147-150. [He Y. Statistics of traditional Chinese medicine[M]. Beijing: China Traditional Chinese Medicine Press, 2021: 147-150.]

14.刘秀峰, 陈振虎, 詹秀菊. 粗糙集理论在医学数据挖掘中的研究与应用[J]. 计算机与现代化, 2011, 7: 176-178. [Liu XF, Chen ZH, Zhan XJ. Research and application of rough sets theory in medical data mining[J]. Computer and Modernization, 2011, 7: 176-178.] DOI: 10.3969/j.issn.1006-2475.2011.07.048.

Popular papers
Last 6 months