食品科学 ›› 2009, Vol. 30 ›› Issue (14 ): 110-113.doi: 10.7506/spkx1002-6630-200914017

• 工艺技术 • 上一篇    下一篇

烹饪机器人最佳划油工艺研究

周晓燕1,陈 剑1,唐建华1,刘小勇2   

  1. 1.扬州大学旅游烹饪(食品科学与工程)学院 2.深圳繁兴科技有限公司
  • 收稿日期:2009-03-16 出版日期:2009-07-15 发布日期:2010-12-29
  • 通讯作者: 周晓燕1, E-mail:yzuxyz@163.com

Orthogonal Array Design for Optimizing Oil-stirring Technique Using Automatic Stirrer

ZHOU Xiao-yan1,CHEN jian1,TANG Jian-hua1,LIU Xiao-yong2   

  1. (1. School of Tourism and Culinary Science (Food Science and Engineering), Yangzhou University,
    Yangzhou 225001, China ;2. Shenzhen Pansum Technology Co. Ltd., Shenzhen 518040, China)
  • Received:2009-03-16 Online:2009-07-15 Published:2010-12-29
  • Contact: ZHOU Xiao-yan1, E-mail:yzuxyz@163.com

摘要:

目的:探讨烹饪机器人自动划油工具在划油过程中实现最佳感官指标所需要的工艺参数。方法:选择入锅温度、料油比、划散频率、划油时间四个关键因素,利用两两对比法,确定感官评价的权重,运用模糊数学对感官评价结果进行统计分析。结果:对实现最佳感官指标,四个因素的重要性次序是入锅温度>划油时间>料油比= 划散频率。通过回归分析得出,原料最佳入锅温度为122.2℃,最佳划油时间为15.02s,料油比为1:5(m/m),划散频率为50r/s。通过水分分析得出,入锅温度为125℃、加热时间为14s 时水分损失最少。

关键词: 自动划油, 入锅温度, 划油时间, 水分测定

Abstract:

Stir-frying in which oil-stirring procedure is of great importance is one of the most specific Chinese cooking techniques. Traditionally, oil-stirring procedure is accomplished manually. Empirical manual operation, however, cannot accurately control oil temperature, materials/oil ratio and dispersion degree of materials. Automatic stirrer was adopted instead of manual operation in the present study. In order to score the highest comprehensive sensory evaluation, four processing parameters [i.e., oil temperature, material (shredded pork fillet)/oil ratio, stirring frequency and stirring duration] were optimized using orthogonal array design. Three sensory indexes including tenderness, dispersion degree and color were weighed by paired comparison method and sensory evaluation scores were analyzed statistically by fuzzy math method. Range analysis for the comprehensive sensory score with various processing parameters indicated that their influences decreased in the following order: stirring duration > oil temperature > material/oil ratio = stirring frequency. Stirring duration and oil temperature were further optimized using quadratic orthogonal regression design. The best processing parameters were as follows: oil temperature 122.2 ℃, stirring duration 15.02 s, material/oil ratio 1:5 and stirring frequency 50 r/s; meanwhile water analysis indicated that the moisture loss was minimized when oil temperature and stirring duration were 125 ℃ and 14 s, respectively.

Key words: automatic oil stirring, oil temperature, stirring duration, moisture measurement

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