首页> 外文期刊>Food Control >Laser backscattering imaging as a non-destructive quality control technique for solid food matrices: Modelling the fibre enrichment effects on the physico-chemical and sensory properties of biscuits
【24h】

Laser backscattering imaging as a non-destructive quality control technique for solid food matrices: Modelling the fibre enrichment effects on the physico-chemical and sensory properties of biscuits

机译:激光反向散射成像作为固体食品矩阵的非破坏性质量控制技术:对纤维富集对饼干的物理化学和感官特性进行建模

获取原文
获取原文并翻译 | 示例
           

摘要

This work focused on modelling the effect of fibre enrichment on the physico-chemical and sensory properties of biscuits by an image analysis of laser backscattering patterns. The study was done on four formulas where, besides the control, three fibre enrichment levels were included (5%, 10% and 20% w/w). The impact on the physico-chemical and sensory properties of biscuits was characterised according to analyses of texture, thickness, area, mass increment, density, flux of solvents (water and milk), colour, taste, mouth texture, etc. Moreover, the image analysis was carried out to collect information from the interaction of a laser with two different biscuit production chain matrices: after the mixing and forming phase (doughs) and after baking (end biscuits). That information was obtained according to the image descriptors generated from the morphology of the observed laser patterns. Both studied matrices offered different, but complementary, information about isolating the variance produced by fibre enrichment for doughs, while the variance generated by heat treatment was also recorded for biscuits. The quantitative prediction of the physico-chemical and sensory properties of biscuits improved when combining both information blocks. The impact of fibre enrichment on biscuits can be modelled by this imaging technique, which could be the basis to develop new non-destructive systems for online inspections made during cookie processing to quickly and non-destructively report physico-chemical and sensory information.
机译:这项工作侧重于通过激光反向散射图案的图像分析来模拟纤维富集对饼干的物理化学和感官特性的影响。该研究在四种公式中进行,除了对照之外,还包括三种纤维富集水平(5%,10%和20%w / w)。根据纹理,厚度,面积,质量增量,密度,溶剂通量(水和牛奶),颜色,味道,口感等的分析,对饼干的物理化学和感官特性的影响表征。此外,颜色,味道,口感等。进行图像分析,以从激光的相互作用与两个不同的饼干生产链基质收集信息:在混合和形成相(面团)之后和烘烤后(末端饼干)。根据从观察到的激光图案的形态产生的图像描述符获得该信息。两个研究的矩阵提供了不同但互补的信息,有关隔离面团纤维富集产生的差异的信息,而通过热处理产生的差异也被记录用于饼干。相结合的信息块时,饼干的物理化学和感觉特性的定量预测。纤维富集对饼干的影响可以通过这种成像技术进行建模,这可能是开发新的非破坏性系统的基础,用于快速和无损地报告物理化学和感官信息。

著录项

相似文献

  • 外文文献
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号