Open AccessFast classification of rice (Oryza sativa) cultivars based on fragrance and environmental origins by means of near infrared spectroscopy
Author(s) -
Agus Arip Munawar,
Z Sabaruddin
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/644/1/012003
Subject(s) - principal component analysis , cultivar , amylose , near infrared spectroscopy , oryza sativa , infrared spectroscopy , spectroscopy , infrared , chemistry , materials science , mathematics , horticulture , analytical chemistry (journal) , food science , biology , chromatography , physics , optics , statistics , starch , organic chemistry , quantum mechanics , gene , biochemistry
Presented paper aimed to investigate the application of near infrared spectroscopy as a fast and robust approach in distinguishing two different rice cultivars based on their fragrance character. Spectra data of rice samples were acquired and recorded in wavenumbers range of 4000-10 000 cm −1 with co-added of 32 scans and 4x optical gain. Further, multivariate analysis in form of principal component analysis (PCA) was employed to classify those samples based on near infrared optical properties. The result showed that both rice cultivars can be precisely clustered and discriminated with total explained variance of 100% using first two principal components (PC). The respective chemical parameters of these differences are fiber content, carbohydrates, amylose content and fragrance. The mentioned three parameters were vibrated strongly in wavenumbers 4260, 7512 and 7900 cm −1 for carbohydrates, amylose and fragrance, while for fiber content, it vibrated at 5183 cm −1 respectively. Based on obtained results, it may conclude that near infrared spectroscopy approach is able to classify and discriminate rice cultivars based on their fragrance by means of spectral optic properties in near infrared region.