Optimization of withering time and fermentation conditions during the manufacture of black tea using a Response Surface Methodology

被引:0
|
作者
Department of Chemical Engineering, Food Process Engineering and Biotechnology Research Center, Amirkabir University of Technology, P.O. Box 15875-4413, Tehran, Iran [1 ]
不详 [2 ]
机构
来源
Sci. Iran. | 2009年 / 1 C卷 / 61-68期
关键词
Regression analysis - Surface properties - Manufacture;
D O I
暂无
中图分类号
学科分类号
摘要
The Central Composite Design (CCD) technique, a Response Surface Methodology (RSM), was used to study the effect of the withering time and fermentation conditions of tea leaves on black tea quality parameters. A three level, three variable, design was adopted. The three independent variables investigated in this experiment, each at three levels, were; withering time, fermentation duration and fermentation temperature. Responses were represented mathematically by a second-order quadratic equation and assessed, using a polynomial multiple regression model. The highest level of the theaflavins (TFs) formation (≥ 1.25%,) was with the withering time at about 19-20 hrs, while the. fermentation duration was about 25-30 rain (fermentation temperature = 25° C). The gradual increase in the. thearubigins (TRs), as the function of the withering time and the fermentation temperature, was noticeable. The increase in TR content at > 11.5% was minor and related to the narrower ranges of the two parameters studied (x1 and X3). The predicted dependence of the TLC evaluation (%) (spectrophotometric measurement) on the. fermentation duration (x2) and on the fermentation temperature (x3) was statistically significant. The results of this study suggest that the CCD and RSM can be efficiently used in the fermentation process in the manufacture of black tea. © Sharif University of Technology, June 2009.
引用
收藏
相关论文
共 50 条
  • [1] Optimization of Withering Time and Fermentation Conditions During the Manufacture of Black Tea Using a Response Surface Methodology
    Emdadi, L.
    Nasernajad, B.
    Shokrgozar, S. T.
    Mehranian, M.
    Vahabzadeh, F.
    SCIENTIA IRANICA TRANSACTION C-CHEMISTRY AND CHEMICAL ENGINEERING, 2009, 16 (01): : 61 - 68
  • [2] Optimization of Withering and Fermentation Parameters during the Manufacture of Congou Black Tea of Sichuan
    HongQian Ruan
    Gang Chen
    Xi Zhang
    XiaoYuan Qu
    HongLin Liu
    HuaRong Tong
    茶叶, 2013, 39 (04) : 376 - 380
  • [3] OPTIMIZING FERMENTATION TIME IN BLACK TEA MANUFACTURE
    OWUOR, PO
    REEVES, SG
    FOOD CHEMISTRY, 1986, 21 (03) : 195 - 203
  • [4] Biochemical Changes During Withering Process of CTC black Tea Manufacture
    Kalidass, Sitharanjan
    Vijaya, Karuppana Udaiyar
    Kumar, Rajagopal Raj
    ORIENTAL JOURNAL OF CHEMISTRY, 2019, 35 (04) : 1313 - 1319
  • [5] Optimization of fermentation conditions for ting production using response surface methodology
    Adebo, Oluwafemi Ayodeji
    Njobeh, Patrick Berka
    Mulaba-Bafubiandi, Antoine Floribert
    Adebiyi, Janet Adeyinka
    Desobgo, Zangue Steve Carly
    Kayitesi, Eugenie
    JOURNAL OF FOOD PROCESSING AND PRESERVATION, 2018, 42 (01)
  • [6] Optimization of fermentation conditions of mead by response surface methodology
    Zhang, Yong
    Ai, Yaoqin
    Wu, Qi
    Li, Congfa
    Chen, Wenxue
    CHEMICAL, MATERIAL AND METALLURGICAL ENGINEERING III, PTS 1-3, 2014, 881-883 : 789 - 792
  • [8] Optimization of fermentation medium and conditions for inosine production using response surface methodology
    Xiao, A., 1600, Chinese Institute of Food Science and Technology (14):
  • [9] OPTIMIZATION OF FERMENTATION CONDITIONS FOR PROBIOTIC SOY YOGHURT USING RESPONSE SURFACE METHODOLOGY
    Bansal, Sangita
    Mangal, Manisha
    Sharma, Satish Kumar
    Yadav, Deep Narayan
    Gupta, Ram Kishor
    JOURNAL OF FOOD PROCESSING AND PRESERVATION, 2015, 39 (06) : 1809 - 1816
  • [10] Optimization of extruder cooking conditions for the manufacture of fish feeds using response surface methodology
    Irungu, Francis Gichuho
    Mutungi, Christopher
    Faraj, Abdul
    Affognon, Hippolyte
    Ekesi, Sunday
    Nakimbugwe, Dorothy
    Fiaboe, Komi K. M.
    JOURNAL OF FOOD PROCESS ENGINEERING, 2019, 42 (02)