Optimization of goat milk yoghurt preparation conditions by response surface methodology

被引:3
|
作者
Ham, Jun-Sang [1 ]
Jeong, Seok-Geun [1 ]
Shin, Ji-Hye [1 ]
Choi, Mi-Young [1 ]
Han, Gi-Sung [1 ]
Chae, Hyun-Seok [1 ]
Yoo, Young-Mo [1 ]
Ahn, Jong-Nam [1 ]
Ko, Sang-Hyun [2 ]
Park, Kwang-Wook [2 ]
Choi, Seok-Ho [3 ]
Lee, Wan-Kyu [4 ]
机构
[1] RDA, Natl Inst Anim Sci, Suwon 441350, South Korea
[2] MGEN, Seoul 153801, South Korea
[3] Sangji Univ, Wonju 220702, South Korea
[4] Chungbuk Natl Univ, Cheongju 361763, South Korea
关键词
goat milk; yoghurt; RSM;
D O I
10.5851/kosfa.2007.27.3.345
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
This study was carried out to establish the optimal preparation conditions of yoghurt made from goat milk with reduced goaty flavor by adding citrus concentrate and flavor. A central composite design was applied to investigate the effects of citrus concentrate ratio (0.5, 1.0, 1.5, 2.0, 2.5%), citrus flavor ratio (0.0 1, 0.02, 0.03, 0.04, 0.05%) and fructose ratio (3, 4, 5, 6, 7%). The physico-chemical and sensory characteristics of the sixteen yoghurt samples were compared. The addition of citrus concentrate had a significant (p < 0.0 1) effect on the pH, a*, and b* values. Regarding organoleptic properties, the addition of citrus concentrate had a significant (p < 0.01) effect on color, and fructose had an effect on overall palatability. The maximum value of organoleptic goaty flavor was 2.35, more than double the minimum value. The optimum conditions predicted for minimizing goaty flavor of the yoghurt were 1.44% citrus concentrate, 0.0357% citrus flavor, and 6.9 1 % fructose.
引用
收藏
页码:345 / 350
页数:6
相关论文
共 50 条
  • [41] Optimization of Preparation of Corn Starch Phosphates by Response Surface Methodology
    Li, Guang-Lei
    Zhang, Jun-He
    Zeng, Jie
    Gao, Hai-Yan
    ICMS2010: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION, VOL 4: MODELLING AND SIMULATION IN BIOLOGY, ECOLOGY & ENVIRONMENT, 2010, : 51 - 55
  • [42] Production of Angiotensin I-Converting Enzyme inhibitory peptide from goat milk casein: optimization conditions of complex protease hydrolysate by response surface methodology and purification
    Chen, Li
    Wang, Juan
    Shu, Guowei
    Chen, He
    EMIRATES JOURNAL OF FOOD AND AGRICULTURE, 2018, 30 (09): : 742 - 749
  • [43] Optimization of Microencapsulation of Human Milk Fat Substitute by Response Surface Methodology
    Li, Xue
    Cao, Jun
    Bai, Xinpeng
    Jiang, Zefang
    Shen, Xuanri
    JOURNAL OF OLEO SCIENCE, 2018, 67 (04) : 407 - 417
  • [44] OPTIMIZATION OF GERMINATION CONDITIONS OF Melia volkensii BY RESPONSE SURFACE METHODOLOGY
    Okango, Ayubu Anapapa
    Koske, Joseph Kipsigei
    Mutiso, John Muindi
    ADVANCES AND APPLICATIONS IN STATISTICS, 2016, 49 (03) : 195 - 210
  • [45] Optimization of Impregnation Conditions for Furfurylated Bamboo on Response Surface Methodology
    Wang, Yong
    Li, Yunyan
    Li, Ting
    Wei, Yanqiang
    Li, Xianjun
    JOURNAL OF BIOBASED MATERIALS AND BIOENERGY, 2020, 14 (01) : 50 - 57
  • [46] Optimization of Spontaneous Fermentation Conditions of Kohlrabi by Response Surface Methodology
    Karaoglan, Hatice Aybuke
    Aktas, Ayse Burcu
    FERMENTATION-BASEL, 2023, 9 (06):
  • [48] Optimization of preparation conditions for polydimethylsiloxane (PDMS)/ceramic composite pervaporation membranes using response surface methodology
    Xiangli, Fenjuan
    Wei, Wang
    Chen, Yiwei
    Jin, Wanqin
    Xu, Nanping
    JOURNAL OF MEMBRANE SCIENCE, 2008, 311 (1-2) : 23 - 33
  • [49] Optimization of Preparation Conditions for PDMS-Silica Composite Pervaporation Membranes Using Response Surface Methodology
    Lan, Yongqiang
    Peng, Ping
    Shi, Baoli
    SEPARATION SCIENCE AND TECHNOLOGY, 2011, 46 (14) : 2211 - 2222
  • [50] Optimization of Preparation Conditions for Side-Emitting Polymer Optical Fibers Using Response Surface Methodology
    Hu, Xianjin
    Yang, Kun
    Zhang, Cheng
    POLYMERS, 2020, 12 (12) : 1 - 12