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相关实验视频

Updated: Jun 12, 2025

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
07:34

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

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用于制品的植物性蛋清洗剂:机器学习和视觉参数分析.

Kara Benbow1, Harrison Helmick1, Jozef L Kokini1

  • 1Department of Food Science, Purdue University, West Lafayette, Indiana, USA.

Journal of food science
|September 27, 2024
PubMed
概括

豆蛋白和糖醇涂层为制品提供了对蛋洗的可持续替代方案,增强光泽并保持颜色. 在这项研究中,80%/20%的豆蛋白/糖醇比率提供了最高的光泽度.

科学领域:

  • 食品科学 食品科学 食品科学
  • 可持续材料 可持续材料

背景情况:

  • 蛋洗传统上用于制品,以获得颜色和光泽等可取的视觉特性.
  • 在粮食生产中,对可持续的植物性替代品的需求越来越大.

研究的目的:

  • 调查豆蛋白和糖醇作为蛋洗的可持续替代品.
  • 在各种条件下评估豆蛋白涂层的颜色和光泽性质.

主要方法:

  • 使用简化的蛋糕皮模型,在不同豆蛋白/糖比率,pH值和应用重量的豆蛋白涂层上使用.
  • 使用随机森林和人工神经网络模型的图像分析来评估颜色 (L*,a*,b*) 和光泽度.
  • 用主要组件分析 (PCA) 来纠正照明变化的图像数据.

主要成果:

  • 与传统的蛋洗相比,豆蛋白糖醇涂层显示出更高的光泽度.
  • 80%/20%的豆蛋白/糖醇比率产生了最高的光泽.
  • 当1g蛋白质被应用时,色度计值在度之间没有显著差异.
  • 人工神经网络模型在不同的照明条件下有效估计了颜色.

结论:

  • 豆蛋白和糖醇为制品中的蛋洗提供了一个可行的,可持续的替代品.
关键词:
颜色分析分析颜色分析计算机视觉 计算机视觉卵子替代品 卵子替代品机器学习是机器学习.蛋糕皮皮 蛋糕皮 蛋糕皮

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  • 80%/20%的比率是最佳的实现增强的光泽.
  • 图像分析技术,包括PCA和机器学习,可以准确评估涂层特性.