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首页> 外文期刊>Journal of Food Science >Particle Size Distribution of Brown and White Rice during Gastric Digestion Measured by Image Analysis
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Particle Size Distribution of Brown and White Rice during Gastric Digestion Measured by Image Analysis

机译：图像分析法测定糙米和糙米在胃消化过程中的粒径分布

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摘要

The particle size distribution of foods during gastric digestion indicates the amount of physical breakdown that occurred due to the peristaltic movement of the stomach walls in addition to the breakdown that initially occurred during oral processing. The objective of this study was to present an image analysis technique that was rapid, simple, and could distinguish between food components (that is, rice kernel and bran layer in brown rice). The technique was used to quantify particle breakdown of brown and white rice during gastric digestion in growing pigs (used as a model for an adult human) over 480 min of digestion. The particle area distributions were fit to a Rosin-Rammler distribution function. Brown and white rice exhibited considerable breakdown as the number of particles per image decreased over time. The median particle area (x_(50)) increased during digestion, suggesting a gastric sieving phenomenon, where small particles were emptied and larger particles were retained for additional breakdown. Brown rice breakdown was further quantified by an examination of the bran layer fragments and rice grain pieces. The percentage of total particle area composed of bran layer fragments was greater in the distal stomach than the proximal stomach in the first 120 min of digestion. The results of this study showed that image analysis may be used to quantify particle breakdown of a soft food product during gastric digestion, discriminate between different food components, and help to clarify the role of food structure and processing in food breakdown during gastric digestion.
机译：胃消化过程中食物的粒度分布表明，除了最初在口腔加工过程中发生的分解外，由于胃壁的蠕动而发生的物理分解也有一定数量。这项研究的目的是提出一种快速，简单并且可以区分食物成分（即糙米中的米粒和麸皮）的图像分析技术。该技术用于定量消化480分钟以上的成年猪（用作成年人类的模型）在胃消化过程中糙米和白米的颗粒分解。颗粒面积分布适合于Rosin-Rammler分布函数。糙米和白米显示出相当大的分解，因为每张图像的颗粒数量随时间减少。消化过程中中值颗粒面积（x_（50））增加，表明存在胃筛分现象，其中排空了小颗粒，保留了较大的颗粒以进行进一步分解。通过检查麸皮层碎片和米粒碎片进一步量化了糙米的分解。在消化的前120分钟内，在远端胃中由麸皮层碎片组成的总颗粒面积百分比大于近端胃。这项研究的结果表明，图像分析可用于量化胃消化过程中软质食品的颗粒分解，区分不同食物成分，并有助于阐明食物结构和加工在胃消化过程中对食物分解的作用。

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  • 来源
    《Journal of Food Science》 |2013年第9期|1383-1391|共9页
  • 作者

    Gail M. Bornhorst; Kevin Kostlan; R. Paul Singh;

  • 作者单位

    Dept. of Biological and Agricultural Engineering, Univ. of California, Davis, 1 Shields Av., Davis, CA 95616, U.S.A.;

    Dept. of Biological and Agricultural Engineering, Univ. of California, Davis, 1 Shields Av., Davis, CA 95616, U.S.A.;

    Dept. of Biological and Agricultural Engineering, Univ. of California, Davis, 1 Shields Av., Davis, CA 95616, U.S.A. and Riddet Inst., Massey Univ., Palmerston North, New Zealand;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    breakdown; gastric digestion; gastric sieving; image analysis; rice;

    机译：分解;胃消化;胃筛图像分析;白饭;

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