小麦面的小成分在预测水吸收中的作用
Laura Rezette1, Kamal Kansou1, Guy Della Valle1
1INRAE, UR 1268, Biopolymers, Interactions & Assemblies (BIA), F-44316 Nantes, France.
Food chemistry
|September 24, 2024
概括
小麦面的吸水率是烤的关键,最好通过蛋白质,可溶性粉,损坏的粉和特定粘度来预测. 可溶性粉和水中可提取的阿拉比诺基兰显示出强大的预测潜力.
科学领域:
- 农业科学 农业科学
- 食品科学 食品科学 食品科学
- 生物化学 生化学
背景情况:
- 在小麦面粉中吸收水是面包制作的关键.
- 了解其决定因素对于流程优化至关重要.
研究的目的:
- 为了确定预测水吸收的关键小麦粉属性.
- 开发一个优化的水吸收预测模型.
主要方法:
- 分析了150个法国小麦样本的28个组成和技术特性.
- 使用多重线性回归和模型选择标准 (BIC,VIF).
主要成果:
- 确定了一种包含蛋白质含量,可溶性粉,受损粉和水可提取的阿拉比诺基兰的特定粘度的预测模型.
- 溶性粉和水中可提取的阿拉比诺基兰含量显示出预测水吸收的巨大潜力,其性能优于受损的粉.
结论:
- 蛋白质,可溶性粉,受损的粉,以及可在水中提取的阿拉比诺基兰的特定粘度是小麦面粉吸收水分的关键预测因素.
- 溶性粉成为预测小麦面粉吸水量的有希望的新标准.
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