Hogwash oil identification method based on near infrared reflectance spectroscopy

Abstract

The invention discloses a model for determining content of liquid detergent in hogwash oil by combining LS-SVM (least squares-support vector machine) with siPLS (synergy interval partial least squares) based on a near infrared reflectance spectroscopy. The method comprises the steps of: firstly, carrying out pretreatment on collected oil spectrum by adopting a method of combining multiplicative scatter correction treatment with Karl Norris smooth treatment to remove the effect of an interference factor; then screening 548 spectroscopic data which have large correlation with the content of the liquid detergent in the hogwash oil by utilizing the siPLS method, and building a regression prediction model by utilizing the LS-SVM, wherein the selected regularization parameter C is 34.26, and the core parameter rho2 is 11.84; selecting front 10 main ingredients as input variables by applying a main ingredient analysis method; making out a relevant figure line; providing the judgment result whether the oil is the hogwash oil.

Description

1. Technical field [0001] The present invention relates to a kind of near-infrared spectrum analysis technique, especially a kind of near-infrared spectrum analysis technique based on Least Squares Support Vector Machine (LS-SVM) modeling combined with Joint Interval Partial Least Squares (siPLS) to select wavelengths to measure oil content. The method of identifying hogwash oil based on the content of detergent. 2. Background technology [0002] Hogwash oil refers to the low-quality oil extracted through simple processes such as heating, dehydration, slag removal, decolorization, and deodorization after recovering the oily sewage discharged in the drainage channel by the catering industry. It is the most widespread type of waste oil series. . During the preparation process, a large number of complex chemical reactions have been performed, resulting in the production of many toxic substances, and it is difficult to distinguish the processed hog oil from the qualified edible...

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Problems solved by technology

[0003] At present, in order to effectively identify hogwash oil, gas chromatography detection of cholesterol and fluorescence method of sodium dodecylbenzenesulfonate identification have appeared in China. However, these methods are based on a large number of chemical experiments and the process is complicated. And time-consuming, can not form an automatic detection process

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