| Penulis/Author |
Farid Rahmad Abadi (1); Dr. Ir. Rudiati Evi Masithoh, S.T.P., M.Dev.Tech., IPU., Asean Eng. (2) ; Prof. Dr. Ir. Lilik Sutiarso, M.Eng. (3); Dr. Sri Rahayoe, S.T.P., M.P. (4) |
| Abstrak/Abstract |
Soybean characterization is essential in its distribution to ensure product quality according to its internal values. The non-destructive characterization methods, such as spectroscopy, offer an effective and efficient method of testing soybean quality in the field. The semi-portable visible near-infrared (Vis-NIR) spectrometer at a specific range of 345 to 1033 nm is one of the instruments available for field applications. This study aimed to examine the characterization of soybean seeds using Vis-NIR spectroscopy with PCA and PLSR chemometric methods. Soybean genotypes consisted of eight locally produced from Java island Indonesia, i.e., Dega1, Dena1, Deja2, Dering1, Devon1, Yellow Flap, Green, and Detam4, in the form of intact, crumble, flour, and pasta. This research measured quality parameters of protein, fat, crude fiber, carbohydrate, ash, moisture, chlorophyll, total carotene, vitamin C, and L, a, and b values for intact, crumble, flour, and paste samples. PCA results showed that sample form and genotypes affect soybean classification. The PLSR showed adequate model calibration for crude fiber, chlorophyll, total carotene, and vitamin C parameters. Hence, Vis-NIR spectroscopy can be used to classify and predict soybean characteristics. |
