Prediction of optimal conditions of infrared assisted freeze-drying of aloe vera (Aloe barbadensis) using response surface methodology

被引:39
|
作者
Chakraborty, R. [1 ]
Bera, M. [1 ]
Mukhopadhyay, P. [2 ]
Bhattacharya, P. [2 ]
机构
[1] Jadavpur Univ, Dept Chem Engn, Kolkata 700032, India
[2] Heritage Inst Technol, Dept Chem Engn, Kolkata 700107, India
关键词
Aloe vera; Infrared freeze-drying; Physicochemical properties; Response surface methodology; Process optimization; MASS-TRANSFER; OPTIMIZATION; DEHYDRATION; SLICES; HEAT; GEL; TEMPERATURE; SIMULATION; MILLER; JUICE;
D O I
10.1016/j.seppur.2011.05.023
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The present study illustrates an extensive experimental study on infrared (IR) assisted freeze-drying of aloe vera (Aloe barbadensis) coupled with statistical analysis. A 'three parameter three level' face centered central composite design (FCCD) has been employed to develop multivariate regression models in order to evaluate the influence of process parameters on the quality of the freeze-dried aloe vera powder. Optimal freeze-drying conditions of 8.5 W/g IR power, 80.24 degrees C product temperature and 6.67 h drying time have been established corresponding to minimum moisture content of 3.49%, maximum wettability of 52.84 s and maximum yield percent of 3.87 through response surface methodology (RSM). Separate validation experiments at the derived optimal conditions ascertained the predictive ability of the developed model equations. The outcome of this study would contribute to development of technical capabilities for the design of freeze-driers applicable to such high valued medicinal herbs. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:375 / 384
页数:10
相关论文
共 50 条
  • [1] Optimality in Microwave-Assisted Drying of Aloe Vera (Aloe barbadensis Miller) Gel using Response Surface Methodology and Artificial Neural Network Modeling
    Das C.
    Das A.
    Kumar Golder A.
    Journal of The Institution of Engineers (India): Series E, 2016, 97 (2) : 143 - 149
  • [2] Functional properties of pasteurized samples of Aloe barbadensis Miller: Optimization using response surface methodology
    Rodriguez-Gonzalez, V. M.
    Femenia, A.
    Minjares-Fuentes, R.
    Gonzalez-Laredo, R. F.
    LWT-FOOD SCIENCE AND TECHNOLOGY, 2012, 47 (02) : 225 - 232
  • [3] Optimization of biocomposite taro (Colocasia esculenta (L.) Schott) starch and Aloe vera (Aloe barbadensis (L.) Burm.f.) gel based film-using response surface methodology
    Guno Jr, Fabio, Jr.
    Mopera, Lotis
    Santiago, Dennis Marvin
    Elegado, Francisco
    Galeon, Phoebe
    INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES, 2025, 305
  • [4] Extraction of Antioxidants from Aloe vera Leaf Gel: a Response Surface Methodology Study
    Seol Kim
    Leonid Asnin
    Awraris D. Assefa
    Eun Young Ko
    Kavita Sharma
    Se Won Park
    Food Analytical Methods, 2014, 7 : 1804 - 1815
  • [5] Extraction of Antioxidants from Aloe vera Leaf Gel: a Response Surface Methodology Study
    Kim, Seol
    Asnin, Leonid
    Assefa, Awraris D.
    Ko, Eun Young
    Sharma, Kavita
    Park, Se Won
    FOOD ANALYTICAL METHODS, 2014, 7 (09) : 1804 - 1815
  • [6] Enhancement of Viability for Staphylococcus Aureus During Freeze-Drying Using the Response Surface Methodology
    Yang, Hai-li
    Li, Jin-xia
    Xiao, Dong-guang
    Du, Hai-bo
    Liu, Bo
    Liu, Yi
    Hu, Hai-rong
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON BIOMEDICAL AND BIOLOGICAL ENGINEERING 2017 (BBE 2017), 2017, 4 : 531 - 539
  • [7] Investigation of design space for freeze-drying injectable ibuprofen using response surface methodology
    Preskar, Maja
    Videc, Danijel
    Vrecer, Franc
    Gasperlin, Mirjana
    ACTA PHARMACEUTICA, 2021, 71 (01) : 81 - 98
  • [8] Antiacne Gel Containing Aloe vera and Clindamycin Phosphate: Design, Characterization, and Optimization Using Response Surface Methodology
    Rana, Tayyaba
    Zaman, Muhammad
    Khan, Mahtab Ahmed
    Khan, Abdul Qayyum
    Jamshaid, Muhammad
    Nouh, Nehal Ahmed Talaat
    El-Demerdash, Fatma M.
    Kamel, Mohamed
    Abdel-Daim, Mohamed M.
    Albadrani, Ghadeer M.
    Javaid, Sumiyya
    Naeem, Zainab
    INTERNATIONAL JOURNAL OF POLYMER SCIENCE, 2024, 2024
  • [9] Parametric optimization of aloe vera coagulant for nitrate removal from textile wastewater using response surface methodology (RSM)
    Mustapha, Lukman Shehu
    Obayomi, Kehinde Shola
    RESULTS IN CHEMISTRY, 2025, 14
  • [10] Effect of Alkali Treatment on Saharan aloe vera cactus Fibre Properties and Optimization of Process by Response Surface Methodology
    Nallathambi, Gobi
    Thimmiah, Bhargavi Ram
    JOURNAL OF POLYMER MATERIALS, 2020, 37 (3-4): : 189 - 200