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| Non-destructive recognition of animal oil by infrared spectroscopy based on continuous classification strategy |
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| DOI： |
| KeyWord:animal oil infrared spectroscopy pretreatment machine learning continuous classification |
| FundProject:湖南省自然科学基金项目（2023JJ30221） |
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| Download times: 1633 |
| Abstract: |
| To achieve rapid and non-destructive recognition of animal oil samples commonly found in the market and in actual cases, different animal oil samples were distinguished and identified in terms of category and brand/origin by spectral analysis technology and machine learning algorithms based on continuous classification strategy.A total of 247 animal oil （chicken oil, beef tallow, goose oil, lard, duck fat, mutton fat） were collected and scanned by infrared spectra, and automatic baseline correction and peak area normalization were used to eliminate the baseline drift and dimensional inconsistency. The infrared spectra of animal oil was pretreated by Savitzky-Golay smoothing, binomial smoothing, neighborhood average, FFT filter, first-order derivative and second-order derivative,respectively,and the differences of the six pretreatment methods in noise reduction were compared. Besides, the random forest, Bayesian network and least square support vector machine models were constructed with six pretreatment methods respectively to carry out the continuous classification of "category—brand/origin" of all samples. The results showed that the recognition ability of models was improved after pretreatment. The random forest model after FFT filter pretreatment could better distinguish six types of animal oil, the classification accuracy of recognizing the brands/origin of the six animal oil samples from high to low was chicken oil, beef tallow, goose oil, lard, mutton fat and duck fat. Confirmatory analysis was made on two samples from the actual case, and the results were consistent with the actual situation. Infrared spectroscopy combined with machine learning algorithms can apply to the quick and non-destructive recognition of animal oil based on continuous classification strategy. |
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