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通过图像分析测量胃消化过程中糙米和白米的粒度分布。

Particle size distribution of brown and white rice during gastric digestion measured by image analysis.

机构信息

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

出版信息

J Food Sci. 2013 Sep;78(9):E1383-91. doi: 10.1111/1750-3841.12228. Epub 2013 Aug 7.

Abstract

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.

摘要

在胃消化过程中,食物的粒径分布表明由于胃壁的蠕动而发生的物理破碎量,除了在口腔处理过程中最初发生的破碎量。本研究的目的是提出一种图像分析技术,该技术快速、简单,并且能够区分食物成分(即糙米中的米核和糠层)。该技术用于定量分析在 480 分钟的消化过程中生长猪(用作成人模型)胃消化过程中糙米和白米的颗粒分解。颗粒面积分布符合罗辛-拉姆勒分布函数。随着图像中颗粒数量随时间的减少,糙米和白米表现出相当大的破碎。中位颗粒面积(x(50))在消化过程中增加,表明存在胃筛分现象,其中小颗粒排空,而较大颗粒被保留以进行进一步破碎。通过检查糠层碎片和米粒,进一步量化了糙米的破碎。在消化的前 120 分钟内,远侧胃中由糠层碎片组成的总颗粒面积百分比大于近侧胃。本研究结果表明,图像分析可用于定量分析胃消化过程中软食品颗粒的分解,区分不同的食物成分,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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