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Rice Grain Quality Determination Using FTIR Spectroscopy Method

机译:FTIR光谱法测定稻米品质

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Indonesia is the third world's largest rice producer, which has wide variety of types and qualities of rice. Based on SNI 6128:2015, rice quality can be classified based on the form, colour and moisture content of the rice grain. On the other hand, rice is consumed to fulfill the nutritional needs of the body. So, it is important to know the type of rice which provide best nutrient content. In this paper, we report preliminary research to predictively determine the quality of rice based on amylose phenolic and flavonoid content measured using FTIR Spectroscopy technique. Chemical analysis method was used as a validation to this developed predictive system. Partial Least Square (PLS) were used to determine the levels of amylose, phenolic, and flavonoids of rice and the Principal Component Analysis (PCA) methods for clustering the types and quality of rices. Results showed that the coefficient of determination of the proposed prediction system of amylose content, phenolic and flavonoids were 0.95; 0.86; 0.95, respectively, with respective RMSE value were 1.4; 0.72; 0.44. Using this technique, rice samples used can be classified into three class of quality, i.e, high quality, premium quality, and the medium quality rice.
机译:印度尼西亚是世界第三大稻米生产国,稻米的种类和质量种类繁多。根据SNI 6128:2015,可以根据米粒的形式,颜色和水分含量对稻米质量进行分类。另一方面,食用米是为了满足人体的营养需求。因此,重要的是要知道提供最佳养分含量的大米的类型。在本文中,我们报告了初步研究,该研究基于使用FTIR光谱技术测量的直链淀粉酚和类黄酮含量,可预测地确定大米的质量。化学分析方法被用作对该发达预测系统的验证。偏最小二乘(PLS)用于确定水稻的直链淀粉,酚类和类黄酮含量,并使用主成分分析(PCA)方法对水稻的类型和质量进行聚类。结果表明,所提出的直链淀粉含量,酚类和类黄酮预测系统的测定系数为0.95; 0.86; RMSE值分别为0.95和1.4; 0.72; 0.44。使用这种技术,所使用的大米样品可以分为三类质量,即高品质,特级品质和中等品质的大米。

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