Optimization of a Decoction Process for an Herbal Formula Using a Response Surface Methodology

被引:3
|
作者
Zhang, Xian-Fei [1 ,2 ,3 ]
Yang, Jun-Li [1 ,2 ]
Chen, Juan [1 ,2 ]
Shi, Yan-Ping [1 ,2 ]
机构
[1] Chinese Acad Sci, Lanzhou Inst Chem Phys, Key Lab Chem Northwestern Plant Resources, Lanzhou 730000, Gansu, Peoples R China
[2] Key Lab Nat Med Gansu Prov, Lanzhou 730000, Gansu, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 100039, Peoples R China
关键词
TRADITIONAL CHINESE MEDICINE; PERFORMANCE LIQUID-CHROMATOGRAPHY; ULTRASOUND-ASSISTED EXTRACTION; ASTRAGALUS-MEMBRANACEUS; CHEMICAL-ANALYSIS; POLYSACCHARIDES; ANTIOXIDANT; ROOT; DESIGN; ACID;
D O I
10.5740/jaoacint.17-0022
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
An herbal formula, Huang-Qi-Liu-Yi Tang, is a prescription medicine that has been commonly used for the treatment of prostatitis and condyloma acuminatum over the last thousand years. In this study, response surface methodology, with a Box-Behnken design (BBD), was used to optimize the decoction conditions of an herbal formula. Astragaloside, calycosin-7-glucoside, glycyrrhizic acid, liquiritin, polysaccharide, and extractum were used as multiple evaluation markers. Soak time, water-to-medicinal herb ratio, and extraction time were determined as the three main variables by single-factor experiments and further optimized to obtain the maximum yields for the six marker compounds. Data from well-designed experiments were fitted to obtain second-order polynomial equations using multiple regression analysis, and the accuracies of these equations were evaluated and verified using statistical methods. By solving the regression equations and analyzing the three-dimensional response surfaces, optimum conditions were obtained and are summarized as follows: soak time of 57 min, water-to-medicinal herb ratio of 9:1 (mL/g), and extraction time of 48 min. Under optimized conditions, the experimental yields of astragaloside, calycosin-7-glucoside, glycyrrhizic acid, liquiritin, polysaccharide, and extractum were 0.13, 0.085, 1.64, 1.56, 72.19, and 25.64%, respectively, which was in good agreement with the values predicted by the BBD.
引用
收藏
页码:1776 / 1784
页数:9
相关论文
共 50 条
  • [21] Economic Optimization of the Cumene Production Process Using Response Surface Methodology
    Norouzi, Hamid Reza
    Fatemi, Shohreh
    CHEMICAL ENGINEERING COMMUNICATIONS, 2012, 199 (11) : 1375 - 1393
  • [22] OPTIMIZATION OF CHIPOTLE PEPPER SMOKING PROCESS USING RESPONSE SURFACE METHODOLOGY
    Gomez-Moriel, Cinthia B.
    Quintero-Ramos, Armando
    Camacho-Davila, Alejandro
    Ruiz-Gutierrez, Martha G.
    Talamas-Abbud, Ricardo
    Olivas-Vargas, Ramon
    Barnard, John
    JOURNAL OF FOOD QUALITY, 2012, 35 (01) : 21 - 33
  • [23] Optimization of vibratory welding process parameters using response surface methodology
    Pravin Kumar Singh
    S. Deepak Kumar
    D. Patel
    S. B. Prasad
    Journal of Mechanical Science and Technology, 2017, 31 : 2487 - 2495
  • [24] Optimization of onion cookie baking process using response surface methodology
    Seog, Eun Ju
    Kim, Hye Ran
    Lee, Jun Ho
    JOURNAL OF FOOD QUALITY, 2008, 31 (03) : 306 - 322
  • [25] Optimization of vibratory welding process parameters using response surface methodology
    Singh, Pravin Kumar
    Kumar, S. Deepak
    Patel, D.
    Prasad, S. B.
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2017, 31 (05) : 2487 - 2495
  • [26] Optimization of electrohydraulic forming process parameters using the response surface methodology
    Prasath, Balasubramanian Arun
    Ganesh, Pasupathy
    Sundaram, Karibeeran Shanmuga
    MATERIALS TESTING, 2021, 63 (06) : 571 - 580
  • [27] Process Optimization of Silver Nanoparticle Synthesis using Response Surface Methodology
    Chowdhury, Silvia
    Yusof, Faridah
    Faruck, Mohammad Omer
    Sulaiman, Nadzril
    PROCEEDING OF 4TH INTERNATIONAL CONFERENCE ON PROCESS ENGINEERING AND ADVANCED MATERIALS (ICPEAM 2016), 2016, 148 : 992 - 999
  • [28] Optimization of Food Waste Bioevaporation Process Using Response Surface Methodology
    Yang, Benqin
    Jahng, Deokjin
    DRYING TECHNOLOGY, 2015, 33 (10) : 1188 - 1198
  • [29] Optimization of Process Variables for Grinding of Ibuprofen using Response Surface Methodology
    Sim, Chol-Ho
    KOREAN CHEMICAL ENGINEERING RESEARCH, 2013, 51 (06): : 685 - 691
  • [30] Optimization of Sintering Process of Alumina Ceramics Using Response Surface Methodology
    Landek, Darko
    Curkovic, Lidija
    Gabelica, Ivana
    Mustafa, Mihone Kerolli
    Zmak, Irena
    SUSTAINABILITY, 2021, 13 (12)