• EI
  • Scopus
  • 食品科学与工程领域高质量科技期刊分级目录第一方阵T1
  • DOAJ
  • EBSCO
  • 北大核心期刊
  • 中国核心学术期刊RCCSE
  • JST China
  • FSTA
  • 中国精品科技期刊
  • 中国农业核心期刊
  • CA
  • WJCI
  • 中国科技核心期刊CSTPCD
  • 中国生物医学SinoMed
中国精品科技期刊2020
黄锐函,潘洪杰,杨爽,等. 响应面-主成分分析法优化五花肉片真空油炸工艺研究[J]. 食品工业科技,2023,44(18):225−234. doi: 10.13386/j.issn1002-0306.2022100227.
引用本文: 黄锐函,潘洪杰,杨爽,等. 响应面-主成分分析法优化五花肉片真空油炸工艺研究[J]. 食品工业科技,2023,44(18):225−234. doi: 10.13386/j.issn1002-0306.2022100227.
HUANG Ruihan, PAN Hongjie, YANG Shuang, et al. Optimization of the Vacuum Frying Process of Pork Belly Slices by Response Surface Methodology and Principal Component Analysis[J]. Science and Technology of Food Industry, 2023, 44(18): 225−234. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2022100227.
Citation: HUANG Ruihan, PAN Hongjie, YANG Shuang, et al. Optimization of the Vacuum Frying Process of Pork Belly Slices by Response Surface Methodology and Principal Component Analysis[J]. Science and Technology of Food Industry, 2023, 44(18): 225−234. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2022100227.

响应面-主成分分析法优化五花肉片真空油炸工艺研究

Optimization of the Vacuum Frying Process of Pork Belly Slices by Response Surface Methodology and Principal Component Analysis

  • 摘要: 为改进川菜工业化中肉制品的生产工艺,该研究以猪五花肉为原料,考察不同真空油炸温度、油炸时间及切片厚度对五花肉片水分含量、色泽、质构特性、感官评分的影响,在单因素实验的基础上,进行相关性分析,采用响应面结合主成分分析的方法优化五花肉片的真空油炸工艺条件。结果表明,水分含量、a*值、b*值、硬度、咀嚼性与油炸温度、油炸时间、切片厚度3个因素相关性较强。主成分分析中提取的前2个主成分累计贡献率为82.822%,在一定程度上能够评价真空油炸五花肉片的品质。五花肉片的最佳真空油炸工艺为:油炸温度100 ℃,油炸时间3 min,切片厚度3 mm,此时五花肉片的规范化综合得分为0.931,与预测值之间的标准偏差为0.5%,该模型能够较好地预测真空油炸五花肉片的规范化综合得分。该工艺为川菜工业化中肉制品的生产提供了可行的方法和一定的理论参考。

     

    Abstract: To improve the production process of meat products in the industrialization of Sichuan cuisine, this study was conducted to investigate the effects of different vacuum frying temperature, frying time and slice thickness on moisture content, color, texture characteristics and sensory scores of pork belly slices, and to optimize the vacuum frying process conditions of pork belly slices using response surface combined with principal component analysis based on single-factor experiments and correlation analysis. The results showed that moisture content, a* value, b* value, hardness, and chewiness were more strongly correlated with 3 factors, namely, frying temperature, frying time, and slice thickness. The cumulative contribution rate of the first two principal components extracted in the principal component analysis was 82.822%, which could evaluate the quality of vacuum-fried pork belly slices to a certain extent. An optimal vacuum frying process for pork belly slices was achieved, where frying temperature 100 ℃, frying time 3 min, and slice thickness 3 mm. In this case, the standardized comprehensive score of pork belly slices was 0.931, and a standard deviation from the predicted value was 0.5%, indicating that the model could better predict the standardized comprehensive score of vacuum-fried pork belly slices. This process would provide a feasible method and a certain theoretical reference for the production of meat products in the industrialization of Sichuan cuisine.

     

/

返回文章
返回