Kusumiyati, Kusumiyati and Munawar, Agus Arip and Suhandy, Diding (2020) PREDIKSI VITAMIN C, TOTAL ASAM TERTITRASI, DAN TOTAL PADATAN TERLARUT PADA BUAH MANGGA MENGGUNAKAN NEAR-INFRARED REFLECTANCE SPECTROSCOPY. Fakultas Teknologi Pertanian Universitas Brawijaya, Jurnal Teknologi Pertanian JTP.
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Prediksi Vitamin C, Total Asam Tertitrasi, Total Padatan Terlarut Pada Buah Mangga.pdf Download (3MB) | Preview |
Abstract
Mango fruit contains a lot of beneficial nutrition for health. This commodity is available at the market in various cultivars, including cengkir, kweni, kent, and palmer. The purpose of the research was to predict the internal quality of mango such as vitamin C, titratable acidity, and soluble solid content using near-infrared reflectance spectroscopy (NIRS). Diffuse reflectance spectra acquired from spectra acquisition were corrected using spectra pre-processing methods of orthogonal signal correction (OSC) and first derivative savitzky-golay (dg1). The results explained that vitamin C, titratable acidity, and SSC were able to be properly predicted using NIRS. Spectra pre-processing gave effect to the accuracy of internal quality prediction of mango. Dg1 spectra obtained the highest calibration R2 in the three quality parameters of 0.98 (vitamin C), 0.87 (titratable acidity), and 0.96 (SSC). However, in vitamin c and SSC prediction, dg1 spectra yielded low consistent values of 56% and 63%. Besides, OSC spectra preprocessing was able to reduce the number of factors in the original spectra. The best calibration model for predicting vitamin c and total dissolved solids was achieved by the original spectra, while the prediction of titratable acidity was shown by dg1 spectra
| Item Type: | Other |
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| Subjects: | S Agriculture > S Agriculture (General) |
| Divisions: | Fakultas Pertanian (FP) > Prodi Teknik Pertanian |
| Depositing User: | Dr. Diding Suhandy |
| Date Deposited: | 10 May 2021 01:25 |
| Last Modified: | 10 May 2021 01:25 |
| URI: | http://repository.lppm.unila.ac.id/id/eprint/30095 |
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