Optimization of enzymatic hydrolysis of tilapia (Oreochromis niloticus) by-product using response surface methodology

被引:0
|
作者
Roslan, J. [1 ,3 ]
Kamal, Mustapa S. M. [1 ]
Yunos, Md. K. F. [1 ]
Abdullah, N. [2 ]
机构
[1] Univ Putra Malaysia, Fac Engn, Dept Proc & Food Engn, Serdang 43000, Selangor, Malaysia
[2] Univ Putra Malaysia, Fac Engn, Dept Chem & Environm Engn, Serdang 43000, Selangor, Malaysia
[3] Univ Malaysia Sabah, Sch Food Sci & Nutr, Kota Kinabalu 88400, Sabah, Malaysia
来源
INTERNATIONAL FOOD RESEARCH JOURNAL | 2015年 / 22卷 / 03期
关键词
Alcalase; Enzymatic hydrolysis; Tilapia by-product; Optimization; Response surface methodology; Degree of hydrolysis;
D O I
暂无
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Fish protein hydrolysate was recovered from tilapia by-product (TB) through enzymatic hydrolysis using alcalase enzyme. Hydrolysis reaction of TB was monitored according to the degree of hydrolysis (DH) by employing O-phtaldialdehyde (OPA) method. Optimization process for obtaining high yield of TB protein hydrolysate was performed using response surface methodology (RSM) by optimizing a combination of four independent variables namely, pH (6.5-8.5), temperature (55-70 degrees C), substrate concentration (10-17.5% w/v), and enzyme concentration (1.5-3.5% w/w) with (DH) as a response. The optimum enzymatic hydrolysis conditions were obtained at pH 7.5, temperature of 60 degrees C, substrate concentration of 15% (w/v) and 2.5% (w/w) of enzyme concentration and yielded about 20.20% of DH after hydrolyzing for 120 min. RSM generated model predicted that 20.42% of DH could be achieved at these conditions and this model was valid based on the DH value obtained from the experimental study (20.31%) which was quite similar with the predicted value. High yield of DH obtained from the optimization process could produce fish protein hydrolysate with good nutritional and functional properties. (C) All Rights Reserved
引用
收藏
页码:1117 / 1123
页数:7
相关论文
共 50 条
  • [11] Modelling of the kinetics of red tilapia (Oreochromis spp.) viscera enzymatic hydrolysis using mathematical and neural network models
    Alvarez, A. C.
    Sepulveda, T.
    Zapata, J. E.
    INTERNATIONAL FOOD RESEARCH JOURNAL, 2022, 29 (06): : 1401 - 1410
  • [12] Optimization of Enzymatic Hydrolysis of Kitchen Waste Using Response Surface Methodology (RSM) for Reducing Sugar Production
    Jamaludin, Sharifah Iziuna Sayed
    Abd Kadir, Sharifah Aishah Syed
    Krishnan, Jagannathan
    Safri, Nurul Huda Mohamed
    2013 IEEE BUSINESS ENGINEERING AND INDUSTRIAL APPLICATIONS COLLOQUIUM (BEIAC 2013), 2013, : 322 - 326
  • [13] Optimization of Enzymatic Hydrolysis of Cucurbitin Using Response Surface Methodology: Improvement of the Functional Properties
    Popovic, Ljiljana
    Pericin, Draginja
    Vastag, Zuzana
    Popovic, Senka
    INTERNATIONAL JOURNAL OF FOOD ENGINEERING, 2011, 7 (05)
  • [14] Optimization of the enzymatic hydrolysis of rice protein by different enzymes using the response surface methodology
    dos Santos Aguilar, Jessika Goncalves
    Soares de Castro, Ruann Janser
    Sato, Helia Harumi
    3 BIOTECH, 2018, 8 (08)
  • [15] Optimization of the enzymatic hydrolysis of rice protein by different enzymes using the response surface methodology
    Jessika Gonçalves dos Santos Aguilar
    Ruann Janser Soares de Castro
    Helia Harumi Sato
    3 Biotech, 2018, 8
  • [16] Optimization of culture conditions for larval GIFT tilapia Oreochromis niloticus using response surface methodology and effects of HAMP-1 and c-type lysozyme mRNA expression in liver
    J. Qiang
    J. He
    P. Xu
    M. D. Kpundeh
    Z. X. Zhu
    Aquaculture International, 2014, 22 : 975 - 991
  • [17] Optimization of culture conditions for larval GIFT tilapia Oreochromis niloticus using response surface methodology and effects of HAMP-1 and c-type lysozyme mRNA expression in liver
    Qiang, J.
    He, J.
    Xu, P.
    Kpundeh, M. D.
    Zhu, Z. X.
    AQUACULTURE INTERNATIONAL, 2014, 22 (03) : 975 - 991
  • [18] Efficient enzymatic hydrolysis of Protogracillin for clean preparation of Prosapogenin A by response surface methodology optimization
    Xie, Haicheng
    Zhang, Le
    Jing, Shunli
    Zhou, Jinwei
    Wu, Qing
    Yang, Yaya
    Chen, Yufei
    Yang, Chengyu
    Xia, Guohua
    Shen, Yuping
    Yang, Huan
    GREEN CHEMISTRY LETTERS AND REVIEWS, 2022, 15 (03) : 837 - 846
  • [19] Modelling of the Enzymatic Hydrolysis of Potato (Solanum tuberosum) Using Response Surface Methodology
    Vazquez, Manuel
    Delgado, Raul
    Jaime Castro, Agustin
    STARCH-STARKE, 2009, 61 (10): : 601 - 609
  • [20] Poultry By-Products and Enzymatic Hydrolysis: Optimization by Response Surface Methodology Using Alcalase® 2.4L
    Taheri, Ali
    Kenari, Abdolmohammad Abedian
    Motamedzadegan, Ali
    Habibi-Rezaei, Mehran
    INTERNATIONAL JOURNAL OF FOOD ENGINEERING, 2011, 7 (05)