15C-17 |
Development of a colorimetric method for evaluating endosperm contamination of corn pericarp isolated through ultrasound processing |
Z. Liu1, W. W. YANG1, and T. J. Siebenmorgen. (1) Department of Food Science, University of Arkansas, 2650 N. Young Avenue, Fayetteville, AR 72704 Germplasm identification based on the genetic information contained in corn pericarp isolated with the help of ultrasound processing necessitates a pericarp sample to be highly purified. It is important to develop a quantitative method for assessing the degree of endosperm contamination of the separated corn pericarp, as well as evaluating the effectiveness of ultrasound processing on corn pericarp separation. Our objective was to develop a colorimetric method for evaluating endosperm contamination of corn pericarp isolated through ultrasound processing. Samples at various endosperm contents were prepared by mixing the pure powder of pericarp and endosperm. A serial values of the tristimulus (L, a, and b) color coordinates of the samples were measured using a Minolta chromameter. The values of L, a, and b all had a linear relation with endosperm content. At higher moisture content (>10 percent), the regression equation of a value had higher R2 than that of L and b. At lower moisture content (8 percent or less), the R2 of L, a, and b were all very high (0.99, 0.99 and 0.96, respectively). It was concluded that for samples with higher moisture content (> 10 percent), a value was better than L and b value for evaluating endosperm content of the pericarp. At lower moisture contents (8 percent or less), each of the L, a and b values could equally be used as a good indicator of endosperm content. A reliable method has been developed for evaluating the effectiveness of pericarp separation by ultrasound treatment and assessing endosperm contamination of the separated corn pericarp.
Session 15C, Food Chemistry: Food composition and analysis
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