{"title":"Rice Grain Quality Determination Using FTIR Spectroscopy Method","authors":"Wilda Prihasty, A. Nasution, Isnaeni","doi":"10.1109/ICP46580.2020.9206464","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":6758,"journal":{"name":"2020 IEEE 8th International Conference on Photonics (ICP)","volume":"35 1","pages":"38-39"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 8th International Conference on Photonics (ICP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICP46580.2020.9206464","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
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.