Optimization of <i>Dendrobium officinale</i> Granule Formula Process by Combining Analytic Hierarchy Process and Entropy Weight Method with Orthogonal Experiment

SUN Renjie; TIAN Maoyu; HE Qin; WU Dezhi; CHEN Weishi

doi:10.13386/j.issn1002-0306.2023050347

Volume 45 Issue 8

Apr. 2024

Turn off MathJax

Article Contents

Abstract

References

Supplements

Science and Technology of Food Industry > 2024 > 45(8): 227-234. > DOI: 10.13386/j.issn1002-0306.2023050347

SUN Renjie, TIAN Maoyu, HE Qin, et al. Optimization of Dendrobium officinale Granule Formula Process by Combining Analytic Hierarchy Process and Entropy Weight Method with Orthogonal Experiment[J]. Science and Technology of Food Industry, 2024, 45(8): 227−234. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2023050347.

Citation:

PDF (9531 KB)

Optimization of Dendrobium officinale Granule Formula Process by Combining Analytic Hierarchy Process and Entropy Weight Method with Orthogonal Experiment

Guizhou University of Traditional Chinese Medicine, Guiyang 550025, China

More Information

Received Date: May 30, 2023
Available Online: February 20, 2024

Graphical Abstract

Abstract

Abstract

Optimize the formula process of Dendrobium officinale granules using a multi index comprehensive scoring method combined with orthogonal experiments. Based on the registered Dendrobium officinale health food, the formula composition of raw materials in Dendrobium officinale health food was determined by using complex system entropy clustering algorithm. The diluent was filtered by the formation rate, dissolution rate and moisture absorption rate of granules. The ratio of raw materials and diluents, ethanol volume concentration, and ethanol dosage were taken as the inspection factors. The analytic hierarchy process (AHP) and entropy weight method (EWM) were combined to establish a multi-index comprehensive evaluation method (AHP-EWM method). The formulation process of granules was optimized through orthogonal experiments. The results showed that the formula combination was Dendrobium officinale, Lycium chinense Mill., and Paeoniae Radix Alba by the complex system entropy clustering algorithm. The AHP-EWM method determines the weights of each indicator as follows: Molding rate 0.3567, angle of rest 0.0847, melting rate 0.1778, and moisture absorption rate 0.3808. The optimal molding process was the raw material extract powder, dextrin, and microcrystalline cellulose (10:7:3, m/m), 50% ethanol volume concentration, and 5 mL ethanol dosage. The valieation test result showed that the AHP-EWM comprehensive score of the granules was 93.63±1.65, which was close to the theoretical prediction value. The optimized granules formulation process was stable and feasible. This study would provide a reference for the development of health products of Dendrobium officinale.
- Dendrobium officinale,
- entropy clustering algorithm,
- analytic hierarchy process,
- entropy weight method,
- orthogonal experiment,
- formula process

FullText(HTML)

References (39)

References

[1]	周玉飞, 康专苗, 彭竹晶. 珍稀濒危铁皮石斛的研究进展[J]. 基因组学与应用生物学,2018,37(4):1629−1635. [ZHOU Yufei, KANG Zhuanmiao, PENG Zhujing. Research progress of rare and endangered Dendrobium candidum[J]. Genomics and Applied Biology,2018,37(4):1629−1635.] ZHOU Yufei, KANG Zhuanmiao, PENG Zhujing. Research progress of rare and endangered Dendrobium candidum[J]. Genomics and Applied Biology, 2018, 37（4）: 1629−1635.
[2]	国家药典委员会. 中华人民共和国药典. 一部[M]. 北京:中国医药科技出版社, 2010:85−87. [State Pharmacopoeia Commission Pharmacopoeia of the People's Republic of China. Volume I [M]. Beijing:China Pharmaceutical Science and Technology Press, 2010:85−87.] State Pharmacopoeia Commission Pharmacopoeia of the People's Republic of China. Volume I [M]. Beijing: China Pharmaceutical Science and Technology Press, 2010: 85−87.
[3]	BURZACKA-HINZ A, NARAJCZYK M, DUDEK M, et al. Micromorphology of labellum in selected Dendrobium Sw. (Orchidaceae, Dendrobieae)[J]. International Journal of Molecular Sciences,2022,23(17):9578. doi: 10.3390/ijms23179578
[4]	WEI T, QIANG Y U, HU L I, et al. Chemical modification and immunoregulatory activity of polysaccharides from Dendrobium officinale[J]. Food Sci,2017,38(7):155−160.
[5]	CHEN H, MA X, CAO L X, et al. Recent progress in the mechanism behind exercise-induced fatigue and dietary bioactive components against fatigue[J]. Food Science,2020,41(11):247−258.
[6]	徐海军, 杨洋, 董雅琪, 等. 石斛多糖药理作用及其作用途径的研究进展[J]. 现代药物与临床,2021,36(7):1527−1532. [XU Haijun, YANG Yang, DONG Yaqi, et al. Research progress on the pharmacological effects and pathways of action of Dendrobium polysaccharides[J]. Modern Medicine and Clinical Practice,2021,36(7):1527−1532.] XU Haijun, YANG Yang, DONG Yaqi, et al. Research progress on the pharmacological effects and pathways of action of Dendrobium polysaccharides[J]. Modern Medicine and Clinical Practice, 2021, 36（7）: 1527−1532.
[7]	曾艺芸, 聂雪婷, 李振坚, 等. 中药石斛黄酮活性成分研究进展[J]. 中国实验方剂学杂志,2021,27(6):197−206. [ZENG Yiyun, NIE Xueting, LI Zhenjian, et al. Research progress on the active ingredients of flavonoids in traditional Chinese medicine Dendrobium officinale[J]. Chinese Journal of Experimental Prescriptions,2021,27(6):197−206.] ZENG Yiyun, NIE Xueting, LI Zhenjian, et al. Research progress on the active ingredients of flavonoids in traditional Chinese medicine Dendrobium officinale[J]. Chinese Journal of Experimental Prescriptions, 2021, 27（6）: 197−206.
[8]	XIONG T W, LIU B, WU Q, et al. Beneficial effects of Dendrobium nob- ile Lindl. alkaloids (DNLA) on anxiety and depression induced by chronic unpredictable stress in rats[J]. Brain Research,2021,1771:147647. doi: 10.1016/j.brainres.2021.147647
[9]	郭彩娥, 阮沛桦, 胡欣, 等. 鲜铁皮石斛颗粒的质量标准研究[J]. 广东药科大学学报,2020,36(1):18−23. [GUO Cai'e, RUAN Peihua, HU Xin, et al. Study on the quality standard of fresh Dendrobium officinale granules[J]. Journal of Guangdong Pharmaceutical University,2020,36(1):18−23.] GUO Cai'e, RUAN Peihua, HU Xin, et al. Study on the quality standard of fresh Dendrobium officinale granules[J]. Journal of Guangdong Pharmaceutical University, 2020, 36（1）: 18−23.
[10]	FADINI A L, ALVIM I D, RIBEIRO I P, et al. Innovative strategy based on combined microencapsulation technologies for food application and the influence of wall material composition[J]. LWT-Food Science and Technology,2018,91:345−352. doi: 10.1016/j.lwt.2018.01.071
[11]	刘雪娜, 吴雪娇, 刘顺航, 等. 铁皮石斛的药理作用及其保健食品研发进展[J]. 保鲜与加工,2021,21(10):144−150. [LIU Xuena, WU Xuejiao, LIU Shunhang, et al. The pharmacological effects of Dendrobium officinale and its research and development progress in health food[J]. Preservation and Processing,2021,21(10):144−150.] LIU Xuena, WU Xuejiao, LIU Shunhang, et al. The pharmacological effects of Dendrobium officinale and its research and development progress in health food[J]. Preservation and Processing, 2021, 21（10）: 144−150.
[12]	林雪媛, 王宇轩, 彭意, 等. 铁皮石斛叶总黄酮泡腾颗粒剂的制备与抗氧化活性研究[J]. 药学研究,2019,38(7):382−392. [LIN Xueyuan, WANG Yuxuan, PENG Yi, et al. Preparation and antioxidant activity of total flavonoids effervescent granules from Dendrobium officinale leaves[J]. Pharmaceutical Research,2019,38(7):382−392.] LIN Xueyuan, WANG Yuxuan, PENG Yi, et al. Preparation and antioxidant activity of total flavonoids effervescent granules from Dendrobium officinale leaves[J]. Pharmaceutical Research, 2019, 38（7）: 382−392.
[13]	张莉. 鲜铁皮石斛颗粒剂的制备及其质量标准研究[D]. 合肥:安徽中医药大学, 2018. [ZHANG Li. Preparation and Quality Standards of Fresh Dendrobium officinale Granules[D]. Hefei:Anhui University of Traditional Chinese Medicine, 2018.] ZHANG Li. Preparation and Quality Standards of Fresh Dendrobium officinale Granules[D]. Hefei: Anhui University of Traditional Chinese Medicine, 2018.
[14]	覃翔, 李婉铭, 韦金彩, 等. 基于层次分析法的正交试验优选坐浴安散提取工艺[J]. 中国药业,2023,32(3):55−62. [QIN Xiang, LI Wanming, WEI Jincai, et al. Optimization of extraction process for sitting bath ansan by orthogonal experiment based on analytic hierarchy process[J]. China Pharmaceutical,2023,32(3):55−62.] QIN Xiang, LI Wanming, WEI Jincai, et al. Optimization of extraction process for sitting bath ansan by orthogonal experiment based on analytic hierarchy process[J]. China Pharmaceutical, 2023, 32（3）: 55−62.
[15]	冯利梅, 陈艳琰, 乐世俊, 等. 基于层次分析-熵权法的中药质量标志物量化辨识方法研究—以芍药甘草汤为例[J]. 药学学报,2021,56(1):296−305. [FENG Limei, CHEN Yanyan, LE Shijun, et al. Research on quantitative identification method of traditional chinese medicine quality markers based on analytic hierarchy process and entropy weight method-Taking Shaoyao Gancao Tang as an example[J]. Journal of Pharmacy,2021,56(1):296−305.] FENG Limei, CHEN Yanyan, LE Shijun, et al. Research on quantitative identification method of traditional chinese medicine quality markers based on analytic hierarchy process and entropy weight method-Taking Shaoyao Gancao Tang as an example[J]. Journal of Pharmacy, 2021, 56（1）: 296−305.
[16]	贾德强, 贺成柱, 丁立利. AHP-熵权法结合Box-Behnken响应面法优化当归微波真空干燥工艺研究[J]. 药学学报,2023,44(2):60−68. [JIA Deqiang, HE Chengzhu, DING Lili. Optimization of microwave vacuum drying process for Angelica sinensis by AHP entropy weight method combined with Box Behnken response surface methodology[J]. Journal of Pharmacy,2023,44(2):60−68.] JIA Deqiang, HE Chengzhu, DING Lili. Optimization of microwave vacuum drying process for Angelica sinensis by AHP entropy weight method combined with Box Behnken response surface methodology[J]. Journal of Pharmacy, 2023, 44（2）: 60−68.
[17]	韩云凤, 唐茜, 石懿, 等. 基于熵权法-层次分析法结合响应面法优化养阴润目颗粒的提取工艺[J]. 中国现代应用药学,2022,39(7):896−903. [HAN Yunfeng, TANG Qian, SHI Yi, et al. Optimization of the extraction process of Yangyin Runmu granules based on entropy weight method, analytic hierarchy process, and response surface methodology[J]. China Modern Applied Pharmacy,2022,39(7):896−903.] HAN Yunfeng, TANG Qian, SHI Yi, et al. Optimization of the extraction process of Yangyin Runmu granules based on entropy weight method, analytic hierarchy process, and response surface methodology[J]. China Modern Applied Pharmacy, 2022, 39（7）: 896−903.
[18]	王晓林, 陈阵标, 钟方丽, 等. 黑果腺肋花楸果泡腾颗粒剂制备工艺研究[J]. 食品研究与开发,2020,41(19):145−156. [WANG Xiaolin, CHEN Zhengbiao, ZHONG Fangli, et al. Study on the preparation technology of black fruit ribbed Sorbus fruit effervescent granules[J]. Food Research and Development,2020,41(19):145−156.] WANG Xiaolin, CHEN Zhengbiao, ZHONG Fangli, et al. Study on the preparation technology of black fruit ribbed Sorbus fruit effervescent granules[J]. Food Research and Development, 2020, 41（19）: 145−156.
[19]	章烨雯, 何玉妃, 刘雯静, 等. 减肥降脂复方魔芋颗粒剂的成型工艺[J]. 食品工业,2022,43(11):53−56. [ZHANG Yewen, HE Yufei, LIU Wenjing, et al. The molding process of weight loss and lipid lowering compound konjac granules[J]. Food Industry,2022,43(11):53−56.] ZHANG Yewen, HE Yufei, LIU Wenjing, et al. The molding process of weight loss and lipid lowering compound konjac granules[J]. Food Industry, 2022, 43（11）: 53−56.
[20]	刘勇, 吕慧锋, 张琼, 等. Design-Expert响应面法优选无糖型乳康颗粒成型工艺[J]. 中国药业,2021,30(17):50−53. [LIU Yong, LÜ Huifeng, ZHANG Qiong, et al. Design-Expert response surface methodology for optimizing the forming process of sugar free Rukang granules[J]. China Pharmaceutical,2021,30(17):50−53.] LIU Yong, LÜ Huifeng, ZHANG Qiong, et al. Design-Expert response surface methodology for optimizing the forming process of sugar free Rukang granules[J]. China Pharmaceutical, 2021, 30（17）: 50−53.
[21]	覃新华, 戴薇萍, 胡传义. 星点设计-效应面法优选复方益肾利石颗粒的成型工艺[J]. 中国医药导刊,2022,24(3):222−228. [QIN Xinhua, DAI Weiping, HU Chuanyi. Optimization of the forming process of compound Yishen Lishi granules by central composite design response surface methodology[J]. Chinese Medical Journal,2022,24(3):222−228.] QIN Xinhua, DAI Weiping, HU Chuanyi. Optimization of the forming process of compound Yishen Lishi granules by central composite design response surface methodology[J]. Chinese Medical Journal, 2022, 24（3）: 222−228.
[22]	于佳琦, 徐冰, 黄雨妍, 等. 基于在线浊度传感器的中药颗粒剂溶化性评价和分类研究[J]. 中国中药杂志,2020,45(2):259−266. [YU Jiaqi, XU Bing, HUANG Yuyan, et al. Evaluation and classification of the solubility of traditional Chinese medicine granules based on online turbidity sensors[J]. Chinese Journal of Traditional Chinese Medicine,2020,45(2):259−266.] YU Jiaqi, XU Bing, HUANG Yuyan, et al. Evaluation and classification of the solubility of traditional Chinese medicine granules based on online turbidity sensors[J]. Chinese Journal of Traditional Chinese Medicine, 2020, 45（2）: 259−266.
[23]	马天翔, 马转霞, 许爱霞, 等. 消风止痒颗粒成型工艺的优化[J]. 中成药,2021,43(8):2161−2164. [MA Tianxiang, MA Zhuanxia, XU Aixia, et al. Optimization of the forming process for Xiaofeng Zhiyang Granules[J]. Traditional Chinese Patent Medicines and Simple Preparations,2021,43(8):2161−2164.] MA Tianxiang, MA Zhuanxia, XU Aixia, et al. Optimization of the forming process for Xiaofeng Zhiyang Granules[J]. Traditional Chinese Patent Medicines and Simple Preparations, 2021, 43（8）: 2161−2164.
[24]	乔雪梅, 王莹, 刘朝霞, 等. G1-熵权法优化欣胃颗粒剂成型工艺的研究[J]. 安徽医药,2023,27(9):1745−1749. [QIAO Xuemei, WANG Ying, LIU Chaoxia, et al. Study on optimization of the forming process of Xinwei granules by G1 entropy weight method[J]. Anhui Medicine,2023,27(9):1745−1749.] QIAO Xuemei, WANG Ying, LIU Chaoxia, et al. Study on optimization of the forming process of Xinwei granules by G1 entropy weight method[J]. Anhui Medicine, 2023, 27（9）: 1745−1749.
[25]	CUI H, LU T H, WANG M X, et al. Flavonoids from Morus alba L. leaves:Optimization of extraction by response surface methodology and comprehensive evaluation of their antioxidant, antimicrobial, and Inhibition of α-amylase activities through analytical hierarchy process[J]. Molecules,2019,24(13):2398. doi: 10.3390/molecules24132398
[26]	YU D, PENGCHENG H, WEIFENG J, et al. Optimization of extraction or purification process of multiple components from natural products:entropy weight method combined with Plackett–Burman design and central composite design[J]. Molecules,2021,26(18):5572−5572. doi: 10.3390/molecules26185572
[27]	ZHAO X M, ZHU M D, REN X, et al. A new technique for determining micronutrient nutritional quality in fruits and vegetables based on the entropy weight method and fuzzy recognition method[J]. Foods,2022,11(23):3844. doi: 10.3390/foods11233844
[28]	祝子喻, 谢雨欣, 俞月婷, 等. 基于熵权-层次分析法及反向传播神经网络多指标优化地黄水提物提取工艺[J]. 食品工业科技,2022,43(19):264−272. [ZHU Ziyu, XIE Yuxin, YU Yuting, et al. Optimization of extraction process of aqueous extract of Rehmannia glutinosa based on entropy weight method in cooperation with analytic hierarchy process and back propagation neural network with multiple indicators[J]. Science and Technology of Food Industry,2022,43(19):264−272.] ZHU Ziyu, XIE Yuxin, YU Yuting, et al. Optimization of extraction process of aqueous extract of Rehmannia glutinosa based on entropy weight method in cooperation with analytic hierarchy process and back propagation neural network with multiple indicators[J]. Science and Technology of Food Industry, 2022, 43（19）: 264−272.
[29]	黄露, 徐顶巧, 乐世俊, 等. 基于层次分析-熵权法和网络药理学的野马追质量标志物研究[J]. 中国中药杂志,2021,46(21):5545−5554. [HUANG Lu, XU Dingqiao, LE Shijun, et al. Research on Q-markers of Eupatorium lindleyanum based on analytic hierarchy process-entropy weight method and network pharmacology[J]. China Journal of Chinese Materia Medica,2021,46(21):5545−5554.] HUANG Lu, XU Dingqiao, LE Shijun, et al. Research on Q-markers of Eupatorium lindleyanum based on analytic hierarchy process-entropy weight method and network pharmacology[J]. China Journal of Chinese Materia Medica, 2021, 46（21）: 5545−5554.
[30]	王唱唱, 左蓓磊, 彭新, 等. 基于熵权法结合层次分析法和反向传播神经网络优选大皂角油制工艺[J]. 中草药, 2022, 53(15):4687−4697. [WANG Changchang, ZUO Beilei, PENG Xin, et al. Optimization of Gleditsiae Sinensis Fructus oil processing technology based on entropy method combined with analytic hierarchy process and BP neural network[J]. Chinese Traditional and Herbal Drugs 2022, 53(15):4687−4697.] WANG Changchang, ZUO Beilei, PENG Xin, et al. Optimization of Gleditsiae Sinensis Fructus oil processing technology based on entropy method combined with analytic hierarchy process and BP neural network[J]. Chinese Traditional and Herbal Drugs 2022, 53（15）: 4687−4697.
[31]	张睿, 王林元, 刘金莲, 等. 辅助改善记忆中药类保健食品和中成药组方规律及特点分析[J]. 中国中药杂志,2021,46(13):3222−3227. [ZHANG Rui, WANG Linyuan, LIU Jinlian, et al. Analysis on the regularity and characteristics of Chinese medicine health food and Chinese patent medicine prescription for improving memory[J]. Chinese Journal of Traditional Chinese Medicine,2021,46(13):3222−3227.] ZHANG Rui, WANG Linyuan, LIU Jinlian, et al. Analysis on the regularity and characteristics of Chinese medicine health food and Chinese patent medicine prescription for improving memory[J]. Chinese Journal of Traditional Chinese Medicine, 2021, 46（13）: 3222−3227.
[32]	庄娟娜, 池伟东, 方灿途, 等. 基于关联规则和复杂系统熵聚类研究中药外洗方治疗奥沙利铂神经毒性的组方规律[J]. 浙江中医药大学学报,2018,42(7):568−572. [ZHUANG Juana, CHI Weidong, FANG Cantu, et al. Based on association rules and complex system entropy clustering, the study on the composition rules of traditional Chinese medicine external washing formula in the treatment of oxaliplatin neurotoxicity[J]. Journal of Zhejiang University of Traditional Chinese Medicine,2018,42(7):568−572.] ZHUANG Juana, CHI Weidong, FANG Cantu, et al. Based on association rules and complex system entropy clustering, the study on the composition rules of traditional Chinese medicine external washing formula in the treatment of oxaliplatin neurotoxicity[J]. Journal of Zhejiang University of Traditional Chinese Medicine, 2018, 42（7）: 568−572.
[33]	倪伟铭, 刘秋月, 满婷婷, 等. 基于关联规则和复方熵聚类分析的针刺辅助肺癌治疗的选穴规律研究[J]. 大众科技,2022,24(227):79−83. [NI Weiming, LIU Qiuyue, MAN Tingting, et al. A study on the selection rules of acupuncture assisted lung cancer treatment based on association rules and compound entropy clustering analysis[J]. Volkswagen Technology,2022,24(227):79−83.] NI Weiming, LIU Qiuyue, MAN Tingting, et al. A study on the selection rules of acupuncture assisted lung cancer treatment based on association rules and compound entropy clustering analysis[J]. Volkswagen Technology, 2022, 24（227）: 79−83.
[34]	王治丹, 代云飞, 罗尚娟, 等. 铁皮石斛化学成分及药理作用的研究进展[J]. 华西药学杂志,2022,37(4):472−476. [WANG Zhidan, DAI Yunfei, LUO Shangjuan, et al. Research progress on the chemical components and pharmacological effects of Dendrobium officinale[J]. West China Journal of Pharmacy,2022,37(4):472−476.] WANG Zhidan, DAI Yunfei, LUO Shangjuan, et al. Research progress on the chemical components and pharmacological effects of Dendrobium officinale[J]. West China Journal of Pharmacy, 2022, 37（4）: 472−476.
[35]	李伯齐. 铁皮石斛复方的抗氧化功能评价及网络药理学研究[D]. 杭州:浙江理工大学, 2021. [LI Boqi. Evaluation of antioxidant function and network pharmacology of Dendrobium officinale compound[D]. Hangzhou:Zhejiang Sci-Tech University, 2021.] LI Boqi. Evaluation of antioxidant function and network pharmacology of Dendrobium officinale compound[D]. Hangzhou: Zhejiang Sci-Tech University, 2021.
[36]	王雪瑶. 基于数据挖掘的原发性视网膜色素变性中医药干预规律研究[D]. 北京:中国中医科学院, 2022. [WANG Xueyao. Research on TCM intervention rule of primary retinitis pigmentosa based on data mining[D]. Beijing:Chinese Academy of Traditional Chinese Medicine, 2022.] WANG Xueyao. Research on TCM intervention rule of primary retinitis pigmentosa based on data mining[D]. Beijing: Chinese Academy of Traditional Chinese Medicine, 2022.
[37]	JIANG C H, WAN F X, XIE Y G, et al. Optimizing of far-infrared drying process of Stevia rebaudiana leaves based on AHP-entropy weight method[J]. Journal of Northwest A&F University (Natural Science Edition),2022,50(6):1−9.
[38]	YANG X, BAI Z F, ZHANG D W, et al. Enrichment of flavonoid-rich extract from Bidens bipinnata L. by macroporous resin using response surface methodology, UHPLC-Q-TOF MS/MS-assisted characterization and comprehensive evaluation of its bioactivities by analytical hierarchy process[J]. Biomedical Chromatography: BMC,2020,34(11):e4933. doi: 10.1002/bmc.4933
[39]	HAN Y F, TANG X, SHI Y, et al. Optimization of extraction process for Yangyin Runmu granules by Box-Behnken design based on entropy weight method-analytic hierarchy process method[J]. Chinese Journal of Modern Applied Pharmacy,2022,39(7):896−903.