Dr. Shea Miller Profile

Dr. Shea Miller

at Agriculture & Agri-Food Canada

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Proceedings Article | 22 May 2009 Paper

Microstructure and nutrient distribution in oats: influence on quality

S. Shea Miller, Judith Frégeau-Reid

Proceedings Volume 7378, 73781K (2009) https://doi.org/10.1117/12.821659

KEYWORDS: Proteins, Scanning electron microscopy, Photomicroscopy, Microscopy, Luminescence, Thin film coatings, Chemical analysis, Sensors, Image analysis, Chemistry

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Oats have long been recognized as having superior quality among cereals with respect to protein and lipid composition as well as soluble dietary fibre (β-glucan). The microstructure and chemistry of oats influence oat quality, and thus are determinants of the end products derived from oats. Light and scanning electron microscopies have been used to elucidate microstructure and nutrient distribution in oats. The influence of variation in these parameters on oat quality can be demonstrated, from milling through to oat products for consumption. Milling quality is determined in part by hull architecture. SEM examination of oat hulls can help predict ease of dehulling, which affects the efficiency and economics of oat milling. In addition to protein and lipid, β-glucan is an important nutritional component of oats. Fluorescence microscopy can reveal both the relative amount and distribution of β-glucan in oat kernels. Consumption of oats or oat products containing β-glucan has been shown to have beneficial effects on carbohydrate and lipid metabolism. These health benefits have generated a demand for new and palatable ways to incorporate oats into the diet as consumer demand increases. To help meet this need, we have been investigating the use of micronized naked oats as a whole grain to be cooked and consumed as a rice alternative. Different varieties of naked oats had dramatically different acceptance levels from a sensory panel. SEM of the pericarp, light microscopy of the endosperm, and analyses of starch properties of the different varieties revealed differences that corresponded with sensory data.

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