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Tea leaf classifying method

A classification method, tea technology, applied in the direction of material separation, material analysis, measuring devices, etc., can solve the problems of single tea classification information, poor effect, weak visualization, etc., and achieve the effect of improving efficiency and accuracy

Inactive Publication Date: 2017-05-31
JIANGSU UNIV
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

[0004] The traditional spectral analysis method has the disadvantages of single information, weak visualization and poor effect on tea classification

Method used

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Embodiment Construction

[0026] The technical solution of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments (N=22).

[0027] Step 1, the collection of three-dimensional information spectrum. Taking different types of tea leaves as detection objects, a total of 24 samples were used as the detection equipment of the FlavourSpec odor analyzer of the German GAS company, and a series of spectrogram data of the volatile substances in the tea leaves were obtained as sample classification information, such as figure 1 shown.

[0028] Step 2, selection of characteristic regions of the spectrum: After visualizing the obtained three-dimensional spectrum information through the color system, select multiple regions with obvious color changes in different samples to characterize the characteristic components of the sample, and determine the difference by forming a spectral library for each region. A characteristic area of ​​tea s...

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Abstract

The invention discloses a tea leaf classifying method. The tea leaf classifying method comprises the following step of using a vapor phase-ion transfer joint technique to detect volatile organic compounds in different types of tea leaves, wherein detection information is used as classifying basis. The tea leaf classifying method is characterized in that feature information of different types of tea leaves are respectively represented by corresponding ion transfer time and ion strength under different retention time, the method comprises collection of a three-dimension spectrum map, selection of a spectrum map feature area, pre-processing of data and analysis of chemical metering data, so as to classify samples. The tea leaf classifying method has the advantages that the vapor phase-ion transfer joint technique can be widely applied to the field of quick analysis of qualities of foods and agricultural products containing complicated systems; the analysis time is short, the resolution is high, the sensitivity is high, the non-destructive detection can be performed, and the tea leaf classifying method can be applied to classify the types of tea leaves.

Description

technical field [0001] The invention belongs to the field of rapid analysis and detection, and in particular relates to a tea classification method. 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, high selectivity, and is very sensitive to the volatile components in the sample. The advantage of the combination of ion mobility technology and gas chromatography is that it combines the high sensitivity of ion mobility spectrometry with the high resolution of gas chromatography, making the obtained chemical information more abundant. After pre-separation of the volatile organic compounds produced by gas chromatography, they are directly eluted to the ionization chamber, and different components to be measured enter the drift tube in turn and undergo ion reaction. Therefore, the combination of gas ch...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N30/86
CPCG01N30/86
Inventor 陈斌陈鑫郁陆道礼郭丽
Owner JIANGSU UNIV
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