Development of chicken meat caruncles on the basis of sensory attributes: process optimization using response surface methodology

被引:0
|
作者
Parminder Singh
Jhari Sahoo
Gopika Talwar
Manish K. Chatli
Ashim K. Biswas
机构
[1] Guru Angad Dev Veterinary and Animal Sciences University,Department of Livestock Products Technology, College of Veterinary Science
[2] Guru Angad Dev Veterinary and Animal Sciences University,Department of Dairy Engineering, College of Dairy Science and Technology
[3] CARI,Division of Post
来源
关键词
Chicken meat caruncles; Sensory attributes; Box-Behnken design; Response surface methodology; Spent hen meat;
D O I
暂无
中图分类号
学科分类号
摘要
A three factor Box-Behnken design of response surface methodology was employed to optimize spent hen meat level (600–700 g kg−1), oil level (25–75 g kg−1) and cooking time (3–5 min) for development of ready-to-eat chicken meat caruncles on the basis of sensory attributes - colour/appearance, flavour, crispiness, after-taste, meat flavour intensity and overall acceptability. The analysis of variance showed that meat and cooking time interaction showed significant effect (p < 0.01; p < 0.05; p < 0.1) on colour/appearance and crispiness of chicken meat caruncles. Quadratically meat level showed significantly higher effect (p < 0.01; p < 0.05; p < 0.1) on crispiness; and oil level and cooking time (p < 0.05; p < 0.1) on after-taste of chicken meat caruncles. Linearly meat level showed significantly higher (p < 0.05; p < 0.1) effect on colour/appearance, after-taste, meat flavour intensity and overall acceptability of chicken meat caruncles. The optimized conditions were: 650 g kg−1 meat level, 50 g kg−1 oil level and cooking time as 4 min. Among all sensory parameters, crispiness is one of the most important sensory parameters for meat snacks, which was highest (6.68) at the optimized conditions in the final product. The other sensory parameters ranged from 6.33 to 6.68 on an eight point scale. Box-Behnken design of RSM performed well in the optimization process of development of chicken meat caruncles to produce product with very high degree of acceptability. 650 g kg−1 of spent hen meat level produced the most acceptable product in terms of sensory profile.
引用
收藏
页码:1290 / 1303
页数:13
相关论文
共 50 条
  • [1] Development of chicken meat caruncles on the basis of sensory attributes: process optimization using response surface methodology
    Singh, Parminder
    Sahoo, Jhari
    Talwar, Gopika
    Chatli, Manish K.
    Biswas, Ashim K.
    [J]. JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE, 2015, 52 (03): : 1290 - 1303
  • [2] Development of sweet and sour chicken meat spread based on sensory attributes: process optimization using response surface methodology
    Arya, Anita
    Mendiratta, S. K.
    Singh, Tarun Pal
    Agarwal, Ravikant
    Bharti, Sanjay Kumar
    [J]. JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE, 2017, 54 (13): : 4220 - 4228
  • [3] Development of sweet and sour chicken meat spread based on sensory attributes: process optimization using response surface methodology
    Anita Arya
    S. K. Mendiratta
    Tarun Pal Singh
    Ravikant Agarwal
    Sanjay Kumar Bharti
    [J]. Journal of Food Science and Technology, 2017, 54 : 4220 - 4228
  • [4] Optimization of meat level and processing conditions for development of chicken meat noodles using response surface methodology
    Khare, Anshul Kumar
    Biswas, Asim Kumar
    Balasubramanium, S.
    Chatli, Manish Kumar
    Sahoo, Jhari
    [J]. JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE, 2015, 52 (06): : 3719 - 3729
  • [5] Optimization of meat level and processing conditions for development of chicken meat noodles using response surface methodology
    Anshul Kumar Khare
    Asim Kumar Biswas
    S. Balasubramanium
    Manish Kumar Chatli
    Jhari Sahoo
    [J]. Journal of Food Science and Technology, 2015, 52 : 3719 - 3729
  • [6] Optimization of the enzymatic hydrolysis of chicken meat using response surface methodology
    Kurozawa, L. E.
    Park, K. J.
    Hubinger, M. D.
    [J]. JOURNAL OF FOOD SCIENCE, 2008, 73 (05) : C405 - C412
  • [7] PROCESS PARAMETER OPTIMIZATION IN RELATION TO SOME SENSORY ATTRIBUTES OF MILLET FLOUR ENRICHED BISCUITS USING RESPONSE SURFACE METHODOLOGY (RSM)
    Chakraborty, S. K.
    Kumbhar, B. K.
    Chakraborty, S.
    Yadav, P.
    [J]. ACTA ALIMENTARIA, 2011, 40 (04) : 466 - 479
  • [8] Application of response surface methodology in process optimization of Soytofu and their sensory evaluation
    Saini, Deepa
    Chopra, C. S.
    Sangeeta, Sabbu
    [J]. INDIAN JOURNAL OF DAIRY SCIENCE, 2021, 74 (05): : 409 - 415
  • [9] Optimization and validation of analytical conditions for cholesterol and cholesterol oxides extraction in chicken meat using response surface methodology
    Mariutti, Lilian R. B.
    Nogueira, Gislaine C.
    Bragagnolo, Neura
    [J]. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2008, 56 (09) : 2913 - 2918
  • [10] DEVELOPMENT OF CHICKEN ROLL RECIPE USING RESPONSE SURFACE METHODOLOGY
    Aydar, A. Y.
    Gurel, B.
    Kayaardi, S.
    [J]. ITALIAN JOURNAL OF FOOD SCIENCE, 2018, 30 (03) : 553 - 567