Rice Grain Quality Determination Using FTIR Spectroscopy Method

Wilda Prihasty, Aulia M.T. Nasution*, Isnaeni

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2020 IEEE 8th International Conference on Photonics, ICP 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages38-39
Number of pages2
ISBN (Electronic)9781728105185
DOIs
Publication statusPublished - May 2020
Event8th IEEE International Conference on Photonics, ICP 2020 - Kota Bharu, Kelantan, Malaysia
Duration: 16 May 202018 May 2020

Publication series

Name2020 IEEE 8th International Conference on Photonics, ICP 2020

Conference

Conference8th IEEE International Conference on Photonics, ICP 2020
Country/TerritoryMalaysia
CityKota Bharu, Kelantan
Period16/05/2018/05/20

Keywords

  • FTIR Spectroscopy
  • Partial Least Square
  • Principal Component Analysis
  • Rice Grain Quality

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