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| Discerning of swill-cooked dirty oil by establishing mathematical model with near infrared full-band scanning technique |
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| DOI： |
| KeyWord:swill-cooked dirty oil edible vegetable oil near infrared spectral scanning characteristic wavelength model |
| FundProject:“十三五”宁夏回族自治区重点研发计划（2018BEG03071） |
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| Abstract: |
| 77 qualified edible vegetable oils of 7 varieties, 28 unqualified vegetable oils and 118 swill-cooked dirty oils were scanned in the full wavelength band at 950-1 650 nm with a step length of 10 nm by using diode array near infrared spectrometer. By analyzing the difference of the scanning data of different groups, the mathematical models of different groups under the characteristic wavelength were established to distinguish swill-cooked dirty oils from qualified edible vegetable oils and unqualified vegetable oils. The results showed that the accuracies of classification and cross-validation of the mathematical models established by statistical analysis tools for the original data were 96.0% and 95.5%, respectively,and the accuracy of the model for unknown samples reached over 95%. The results showed that it was feasible to identify swill-cooked dirty oils based on near infrared full-band scanning technique, and the method was simple in operation, low in cost and sample consumption,and could be used as a rapid discerning method for swill-cooked dirty oil. |
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