Classifying method of vegetable oils

A classification method, vegetable oil technology, applied in material separation, material analysis, image analysis, etc., can solve the problems of poor practicability, lack of intuition, and small amount of two-dimensional spectral information, and achieve fast and accurate classification and quantitative expression.

Inactive Publication Date: 2017-07-07
JIANGSU UNIV
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Problems solved by technology

[0003] In the prior art, spectral analysis is mostly used for the classification of vegetable oil samples, but the amount of two-dimensional spectral information obtained by this type of method is small, lacks intuition, and is poor in practicability

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  • Classifying method of vegetable oils
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  • Classifying method of vegetable oils

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Embodiment Construction

[0029] The technical solution of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0030] Step 1, the collection of three-dimensional information spectrum. A total of 21 vegetable oil samples of common sesame oil, rapeseed oil and peanut oil were used as detection objects, and the FlavourSpec odor analyzer of the German GAS company was used as the detection equipment to obtain a series of spectrogram data of the volatile substances of the vegetable oil as sample classification information , the three-dimensional spectrum of sesame oil is as follows figure 1 shown.

[0031] Step 2, the selection of the characteristic region of the spectrogram.

[0032] After visualizing the obtained three-dimensional spectrum information through the color system, 35 regions with obvious color changes in different samples are selected to characterize the characteristic components of the sample, and a charac...

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Abstract

The invention discloses a classifying method of vegetable oils. The classifying method adopts a gas phase-ion migration combination technology to detect volatile organic compounds in different types of vegetable oils, and the information is used as a classifying foundation. The classifying method adopts ion migration time and ion strength corresponding to different retention times to type characteristic information of each different vegetable oil, and comprises the following steps of collecting a three-dimensional spectral graph; selecting the characteristic area of the spectral graph; preprocessing data; and performing stoichiometric data analysis, so that a sample is classified. According to the classifying method disclosed by the invention, the gas phase-ion migration combination technology can be widely applied in the field of quick analyzing of quality of each food and each agriculture product containing a complex system, the analyzing time is short, the resolution rate is high, the sensitivity is high, and non-destructive detection is adopted, so that the classifying method can be applied for the classifying of the vegetable oils.

Description

technical field [0001] The invention belongs to the field of rapid analysis and detection, and in particular relates to a classification method of vegetable oil. Background technique [0002] Ion migration technology is a trace chemical substance analysis technology based on the difference in migration time of different ions in the gas phase in the electric field. It has high sensitivity and high selectivity, and is especially sensitive to volatile compounds in the sample. The combination of ion mobility technology and gas chromatography gives full play to the high resolution of gas chromatography and the high sensitivity of ion mobility spectrometry, which makes the obtained chemical information more abundant. After the volatile substances in the sample are pre-separated by the chromatographic column, they can be directly Eluting to the ionization chamber, the ion reaction in the ion reaction zone is simpler. Therefore, the combination of chromatography and ion mobility sp...

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Application Information

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IPC IPC(8): G01N30/02G06T7/40G06K9/62
CPCG01N30/02G06T2207/10024G06F18/24143
Inventor 陈斌陈通陆道礼郭丽
Owner JIANGSU UNIV
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