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Method for quickly detecting citrus quality based on olfactory fingerprint atlas

A fingerprint and citrus technology, applied in the direction of material impedance, etc., can solve the problems of high quality requirements for testing environment and experimental personnel, high cost, long testing cycle, etc., and achieve the effect of objective and reliable analysis results, low cost and simple operation

Active Publication Date: 2015-08-19
ZHEJIANG UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

However, these methods have problems such as high cost, long detection cycle, and high quality requirements for the detection environment and experimenters.

Method used

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  • Method for quickly detecting citrus quality based on olfactory fingerprint atlas
  • Method for quickly detecting citrus quality based on olfactory fingerprint atlas
  • Method for quickly detecting citrus quality based on olfactory fingerprint atlas

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Embodiment

[0045] The invention is suitable for detecting the quality of citrus, pomelo, lemon, grape, apple, strawberry and other fruits. The following examples facilitate a better understanding of the present invention, but do not limit the present invention.

[0046] The invention is mainly applicable to electronic nose data processing and regression modeling methods. The present invention a kind of method based on olfactory fingerprint chromatogram fast detection citrus quality, and its steps are as follows:

[0047] 1. Harvest 4 citrus of the same species on different dates, clean the surface of the freshly harvested citrus, remove lesions, select samples with the same color, size, and shape, peel the citrus, squeeze the juice, and filter. Put 10-15g of citrus juice in a beaker with a certain volume, and seal it at room temperature for a period of time to saturate the headspace gas of the modeling sample.

[0048]2. Pump the headspace gas into the electronic nose system, the detec...

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PUM

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Abstract

The invention discloses a method for quickly detecting citrus quality based on an olfactory fingerprint atlas. The method comprises the specific steps: cleaning and drying just harvested citrus, peeling, juicing, and taking pure juice; performing electronic nose experiment; arranging the filtered citrus juice in a sealed container, standing, enabling top space gas to be saturated, then detecting the top space gas by an electronic nose, and extracting characteristic data from the olfactory fingerprint atlas, wherein the characteristic data are taken as partial original data of the electronic nose; then physicochemical indexes of vitamin C, pH, total acid, total sugar and sugar acid ratio are detected for the citrus juice; building a regression model between electronic nose signals and the physicochemical indexes by adopting a random forest. According to the method, the inside quality situation of the citrus can be quickly detected by only utilizing the electronic nose and a random forest algorithm, complicated preprocessing is not need, analysis results are objective and reliable, the operation is simple, the cost is low, and the method has higher popularization and application values.

Description

technical field [0001] The invention belongs to the field of food and relates to a method for rapidly detecting the quality of citrus fruits based on olfactory fingerprints. Background technique [0002] China is one of the important origins of citrus, which is rich in citrus resources, various in variety, and has a long history of cultivation. Citrus fruit has high nutritional value and medicinal value, and is loved by people. In recent years, the quality of ripe fruit has been tested with objective instruments such as gas chromatography-mass spectrometry (GC-MS), nuclear magnetic resonance imaging, and high-performance liquid chromatography (HPLC). However, these methods have problems such as high cost, long detection cycle, and high requirements for the detection environment and the quality of experimenters. [0003] The electronic nose, also known as the odor scanner, quickly provides the overall information of the tested sample with specific sensors and pattern recogn...

Claims

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Application Information

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IPC IPC(8): G01N27/02
Inventor 王俊裘姗姗
Owner ZHEJIANG UNIV
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