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Plant oil classifying method based on combination of GC-MS technology and PSO-SVM algorithm

A PSO-SVM, GC-MS technology, applied in the direction of material separation, material analysis, measuring devices, etc., can solve the limitations of nonlinear classification problems, and achieve the effect of saving time and simple operation

Inactive Publication Date: 2016-07-13
天津滨海无瑕农业生态设施有限公司
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AI Technical Summary

Problems solved by technology

The algorithms in the above literature have good application ability in solving linear problems, but have great limitations in dealing with nonlinear classification problems.

Method used

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  • Plant oil classifying method based on combination of GC-MS technology and PSO-SVM algorithm
  • Plant oil classifying method based on combination of GC-MS technology and PSO-SVM algorithm

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Experimental program
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Embodiment 1

[0018] Sample collection: 66 edible oil samples were purchased from local supermarkets, including 14 types of soybean oil, 8 types of peanut oil, 14 types of rapeseed oil, 8 types of tea oil, 8 types of corn oil, and 10 types of sesame oil.

[0019] Fatty acid methylation of vegetable oil: Take 0.1mL of oil in a centrifuge tube, add 2mL of a mixture of petroleum ether (30°C-60°C) and toluene (1:1 by volume), shake to dissolve the oil, then add 20mL of 5mol / Methanol solution of LKOH, mix well and let stand at room temperature for 5min, then add 2mL of 2mol / L hydrochloric acid, shake, let stand, add anhydrous sodium sulfate to dry, take the supernatant for testing.

[0020] GC-MS analysis conditions of fatty acid methyl esters: Instrument used: LecoPegasus4DGC-TOFMS (American Leco Company). Gas chromatography conditions: the chromatographic column is a capillary column, the model is DB-5MS (30m*0.25mm*0.25μm), the temperature of the injection port is 250°C, the injection volume...

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Abstract

The invention provides a plant oil classifying method based on combination of a GC-MS technology and a PSO-SVM algorithm. The method comprises the following steps: using the GC-MS technology to obtain the qualitative and quantified results of fatty acids in six different kinds of plant oils and establish the fatty acid fingerprint database of the plant oils; adopting the POS optimal parameter-based SVM classification algorithm to classify samples and establish a PSO-SVM model; and substituting data to the PSO-SVM model, and determining the class of the samples according to a calculation result. The classifying method has the advantages of simple pretreatment operation, high sensitivity and high accuracy.

Description

technical field [0001] The invention relates to a classification method of vegetable oil. Specifically, it refers to the classification of different types of vegetable oils based on the fatty acid map data obtained by GC-MS technology combined with the PSO-SVM model, and is used to identify the types of edible oils. Background technique [0002] Vegetable oil has attracted people's attention because it contains a variety of fatty acids necessary for the human body, and its nutritional value is higher than that of animal oil. Now it has basically become the most common edible oil in people's daily life. Edible oil is a necessity in people's life. It is an important food that provides heat energy and essential fatty acids for the human body, promotes the absorption of fat-soluble vitamins, and provides the most direct energy source for the human body. With the development of the economy and the improvement of people's living standards, people pay more and more attention to th...

Claims

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Application Information

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IPC IPC(8): G01N30/88G01N30/06G01N30/86
Inventor 齐贯清
Owner 天津滨海无瑕农业生态设施有限公司
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