A feasibility study for rapid evaluation of oil quality undergoing oven treatment using synchronous fluorescence spectrum
| Autor: | Yanhui Sun, Haiyang Gu, Riqin Lv |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Materials science
Correlation coefficient General Chemical Engineering 02 engineering and technology General Chemistry 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences Biochemistry Industrial and Manufacturing Engineering Spectral line 0104 chemical sciences Wavelength Vegetable oil Test set Materials Chemistry Range (statistics) Peroxide value 0210 nano-technology Biological system Excitation |
| Zdroj: | Chemical Papers. 73:1953-1959 |
| ISSN: | 1336-9075 2585-7290 |
| DOI: | 10.1007/s11696-019-00748-3 |
| Popis: | Synchronous fluorescence spectrum coupled with multivariate curve resolution alternating least square (MCR-ALS) and artificial neural network (ANN) has been used for the analysis of edible vegetable oil. Four types of edible vegetable oil extracted from seed were stored at 65 °C for 0, 1, 5, 9, 13 and 17 days under control conditions. Synchronous fluorescence spectra were obtained for each sample in the excitation wavelength range of 200–800 nm with offsets (Δλ) of 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160, 170 and 180 nm between emission and excitation wavelengths. The relationship between excitation emission matrix data and peroxide value were analyzed using ANN and MCR-ALS algorithms. The regression results indicated that a rapid method for oil freshness evaluation was developed with correlation coefficient for train set and test set of 1 and 0.96, respectively. |
| Databáze: | OpenAIRE |
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