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Adulteration detection of waste cooking oil based on attenuated total reflection Fourier transform infrared spectroscopy |
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KeyWord:ATR-FTIR waste cooking oil adulteration detection |
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Abstract: |
In order to establish adulteration detection method of waste cooking oil based on attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR), the infrared spectrum of oil samples were collected, with 63 oil samples as raw materials, including 8 waste cooking oil samples, 25 edible oil samples and 30 adulteration oil samples. From 63 oil samples, 48 oil samples were taken as calibration set samples randomly, 15 oil samples as validation set. The qualitative model for identification of waste cooking oil was established and validated. From 30 adulteration oil samples, 20 oil samples were taken as calibration set samples randomly, 10 oil samples as validation set. The quantitative model for identification of waste cooking oil was established and validated. The results showed that when spectral range was 1 550-650 cm-1, the qualitative model was established using the original spectrum combined with discrimination analysis and the recognition rate reached 100%. The quantitative analysis model was established using partial least square (PLS) with adulteration ratio of 1%-10%. The model predictive value and the actual adulteration ratio had good linear relationship, and the correlation coefficient (R) and standard deviation (SD) were 0.982 2 and 0.47, respectively. Adulteration detection of waste cooking oil based on ATR-FTIR was workable. |
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