Optimization of fabrication parameters to prepare tea catechin-loaded liposomes using response surface methodology

被引:0
|
作者
Fang, Jianjun [1 ]
Guan, Rongfa [1 ]
Ri, Chang [2 ]
Liu, Mingqi [1 ]
Ye, Xingqian [3 ]
Jiang, Jiaxin [1 ]
机构
[1] Zhejiang Provincial Engineering Laboratory of Quality Controlling Technology, Instrumentation for Marine Food, China Jiliang University, Hang-Zhou
[2] Hangzhou Test Institute of Quality, Hangzhou, Zhejiang
[3] Department of Food Science and Nutrition, Zhejiang University, Hangzhou, Zhejiang
关键词
Catechin; Encapsulation efficiency; Nano-liposomes; Particle size; Response surface methodology; Stability;
D O I
10.19026/ajfst.5.3221
中图分类号
学科分类号
摘要
The purpose of this study was to optimize the formulation of tea catechin-loaded nano-liposomes using response surface methodology. Response surface methodology based on central composite rotatable design has been successfully used to model and optimize biochemical and biotechnological processes. The mass ratio of phosphatidylcholine and cholesterol (1-3), catechin concentration (3-5 mg/mL), pH values of phosphate buffer solution (6-7) and the volume ratio of organic phase and aqueous phase (2-4) were selected as independent variables with encapsulation efficiency and particle size as dependent variables. For each response, a second-order polynomial model was developed using multiple linear regression analysis. Applying a desirability function method the optimum parameters were: phosphatidylcholine to cholesterol mass ratio of 2.17, catechin concentration of 5 mg/mL, pH values of phosphate buffer solution of 6.62 and organic phase to aqueous phase volume ratio of 3.05. At this optimum point, particle size and encapsulation efficiency were found to be 220 nm and 60.18%, respectively. Furthermore, leakage ratio of nano-liposomes was used to determine the influence of storage period. © Maxwell Scientific Organization, 2013.
引用
收藏
页码:29 / 35
页数:6
相关论文
共 50 条
  • [31] Optimization of friction stir welding parameters using multiple response surface methodology
    Ghaffarpour, Morteza
    Aziz, Ahmad
    Hejazi, Taha-Hossein
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART L-JOURNAL OF MATERIALS-DESIGN AND APPLICATIONS, 2017, 231 (07) : 571 - 583
  • [32] Optimization of Operating Parameters in a Planetary CVD Reactor Using Response Surface Methodology
    Ramadan, Zaher
    Im, Ik-Tae
    SILICON, 2019, 11 (04) : 2067 - 2074
  • [33] Optimization of Operating Parameters in a Planetary CVD Reactor Using Response Surface Methodology
    Zaher Ramadan
    Ik-Tae Im
    Silicon, 2019, 11 : 2067 - 2074
  • [34] Optimization of process parameters for transalkylation of toluene to xylene using response surface methodology
    Thakur, Ruchika
    Gupta, Raj Kumar
    Barman, Sanghamitra
    PARTICULATE SCIENCE AND TECHNOLOGY, 2016, 34 (03) : 332 - 340
  • [35] Development of nobiliside A loaded liposomal formulation using response surface methodology
    Xiong, Yang
    Guo, Dan
    Wang, Lili
    Zheng, Xiaoli
    Zhang, Yue
    Chen, Jianming
    INTERNATIONAL JOURNAL OF PHARMACEUTICS, 2009, 371 (1-2) : 197 - 203
  • [36] Optimization of parameters affecting the separation of gold and palladium using the response surface methodology
    Abdi, Sara
    Nasiri, Masoud
    van der Bruggen, Bart
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2025,
  • [37] Optimization of switchgrass and extruder parameters for enzymatic hydrolysis using response surface methodology
    Karunanithy, C.
    Muthukumarappan, K.
    INDUSTRIAL CROPS AND PRODUCTS, 2011, 33 (01) : 188 - 199
  • [38] Optimization of Ultrasonic Extraction of Phenolic Antioxidants from Green Tea Using Response Surface Methodology
    Lee, Lan-Sook
    Lee, Namhyouck
    Kim, Young Ho
    Lee, Chang-Ho
    Hong, Sang Pil
    Jeon, Yeo-Won
    Kim, Young-Eon
    MOLECULES, 2013, 18 (11): : 13530 - 13545
  • [39] Development, optimization, and characterization of a novel tea tree oil nanogel using response surface methodology
    Sinha, Priyam
    Srivastava, Shruti
    Mishra, Nidhi
    Singh, Dhananjay Kumar
    Luqman, Suaib
    Chanda, Debabrata
    Yadav, Narayan Prasad
    DRUG DEVELOPMENT AND INDUSTRIAL PHARMACY, 2016, 42 (09) : 1434 - 1445
  • [40] Mead fermentation parameters: Optimization by response surface methodology
    Papuga, Sasa
    Pecanac, Igor
    Stojkovic, Maja
    Savic, Aleksandar
    Velemir, Ana
    FOODS AND RAW MATERIALS, 2022, 10 (01) : 137 - 147