Validation and Applicability of Single Kernel-Based Cut Grain Dip Method for Amylose Determination in Rice

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• 作者：Ramadoss Bharathi Raja ; Varadharaju Anusheela…
• 关键词：Amylose content ; Cut grain dip method ; High ; performance size ; exclusion chromatography ; Rice
• 刊名：Food Analytical Methods
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：10
• 期：2
• 页码：442-448
• 全文大小：
• 刊物类别：Chemistry and Materials Science
• 刊物主题：Food Science; Chemistry/Food Science, general; Microbiology; Analytical Chemistry;
• 出版者：Springer US
• ISSN：1936-976X
• 卷排序：10

文摘

Amylose content (AC) is an important parameter responsible for the cooking quality of rice. Different methods with varied principles are being employed to determine the AC on the basis of their capacity of detection. Recently, our group successfully developed a simple and rapid method for AC determination termed as cut grain dip (CGD) method. In spite of the fact that this method is proved to be user friendly, thorough validation is required for its routine application across laboratories working on rice grain quality. To verify the accuracy of the CGD method, we compared this method with routine Juliano and two pure starch-based methods namely colourimetric and high-performance size-exclusion chromatography. A total of 16 rice varieties with varied amylose contents were used for the estimation of AC using the aforementioned methods. The results indicated that the CGD method showed high correlation (r) value of 0.987 (p < 0.01) with Juliano’s method. This method also showed significant correlation values of 0.849 (p < 0.01) and 0.869 (p < 0.01) with pure starch colourimetric and high-performance size-exclusion chromatography (HPSEC) methods, respectively. While the CGD method was able to discriminate the genotypes of all the three amylose classes, the pure starch-based colourimetric method could only discriminate high and low amylose genotypes and failed to detect the intermediate class. The findings of the present investigation indicate that the CGD method is not only rapid enough to screen large germplasm samples, but it also works with acceptable accuracy for its application in rice quality breeding.