Effects of prechilling parameters on water-holding capacity of chilled pork and optimization of prechilling parameters using response surface methodology

被引：19
|
作者：
Chen, Hui [1 ]
Dong, Xiaoguang [1 ]
Yao, Zhongfeng [2 ]
Xu, Baocai [3 ]
Zhen, Shaobo [4 ]
Li, Chun [1 ]
Li, Xingmin [1 ]
机构：
[1] China Agr Univ, Coll Food Sci & Nutr Engn, Beijing 100083, Peoples R China
[2] Shihezi Univ, Coll Food Sci & Technol, Xinjiang 832003, Peoples R China
[3] Yurun Meat Enterprises Co Ltd, Jianye Dist 210041, Jiangsu, Peoples R China
[4] China Inst Ind Relat, Beijing 100037, Peoples R China
来源：
JOURNAL OF ANIMAL SCIENCE | 2012年 / 90卷 / 08期
关键词：
chilled pork; prechilling; response surface methodology; water-holding capacity; MEAT-PRODUCTS; FREEZING RATE; QUALITY; CARCASSES; TEMPERATURE; MODEL; RATES; BEEF;
D O I：
10.2527/jas.2011-4239
中图分类号：
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号：
0905 ;
摘要：
The objective of the study was to investigate how prechilling (PC; first chilling stage in 2-stage rapid chilling) parameters affected water-holding capacity (WHC) of chilled pork (Sus scrofa) and to use response surface methodology (RSM) to optimize the PC parameters. The results showed that temperature, time, and air velocity were the major PC parameters that influenced the WHC of chilled pork significantly (P < 0.05). The significance for these effects followed the order: air velocity > temperature > time. The optimal conditions for prechilling determined by Box-Behnkan statistical design were as follows: air velocity, 2.2 m/s; PC temperature, -22 degrees C; and PC time, 1.5 h. The mean drip loss under optimal conditions was 4.29%.
引用
收藏
页码：2836 / 2841
页数：6
相关论文
共 50 条
  • [31] Optimization Of Roller Burnishing Process Parameters On Surface Roughness Using Response Surface Methodology
    Ulhe, Prashant N.
    Patil, U. D.
    Patil, C. R.
    MATERIALS TODAY-PROCEEDINGS, 2019, 18 : 3632 - 3637
  • [32] Effects of High-Voltage Electric Field Process Parameters on the Water-Holding Capacity of Frozen Beef during Thawing Process
    Zhang, Yaming
    Ding, Changjiang
    Ni, Jiabao
    Song, Zhiqing
    Zhao, Rui
    JOURNAL OF FOOD QUALITY, 2019, 2019
  • [33] Optimization of sunflower oil bleaching parameters: using Response Surface Methodology (RSM)
    Sedaghat Boroujeni, Leila
    Ghavami, Mehrdad
    Piravi Vanak, Zahra
    Ghasemi Pirbalouti, Abdollah
    FOOD SCIENCE AND TECHNOLOGY, 2020, 40 : 322 - 330
  • [34] Optimization of microbiological parameters for enhanced griseofulvin production using response surface methodology
    V. Venkata Dasu
    T. Panda
    Bioprocess Engineering, 2000, 22 : 45 - 49
  • [35] Optimization of Centrifugal Casting Parameters of AlSi Alloy by using the Response Surface Methodology
    Ali, S. Mahmood
    INTERNATIONAL JOURNAL OF ENGINEERING, 2019, 32 (11): : 1516 - 1526
  • [36] 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
  • [37] Optimization of Operating Parameters in a Planetary CVD Reactor Using Response Surface Methodology
    Ramadan, Zaher
    Im, Ik-Tae
    SILICON, 2019, 11 (04) : 2067 - 2074
  • [38] A Study on the Beech Wood Machining Parameters Optimization Using Response Surface Methodology
    Pakzad, Sajjad
    Pedrammehr, Siamak
    Hejazian, Mahsa
    AXIOMS, 2023, 12 (01)
  • [39] 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
  • [40] Optimization of fabrication parameters for nanofibrous composite membrane using response surface methodology
    Park, Seong-Jik
    An, Hee-Kyung
    DESALINATION AND WATER TREATMENT, 2016, 57 (43) : 20188 - 20198
12345