Honey detection method based on support vector machine algorithm optimization

A technology of support vector machine and detection method, applied in the direction of measuring device, preparation of test samples, material analysis by electromagnetic means, etc., can solve weak problems

Active Publication Date: 2014-02-12
CHINA NAT INST OF STANDARDIZATION
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AI Technical Summary

Problems solved by technology

However, it is still weak in differential information mining, which is also a bottleneck restricting the development of electronic noses.

Method used

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  • Honey detection method based on support vector machine algorithm optimization
  • Honey detection method based on support vector machine algorithm optimization
  • Honey detection method based on support vector machine algorithm optimization

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Experimental program
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Embodiment Construction

[0025] 1 About sample collection and preparation

[0026] In order to make the nectar source differences studied representative, according to the division of my country's geographical regions (Western China, South China, North China, East China, and Northeast China), 5 different nectar sources were selected as research samples, namely: 1) Rapeseed honey, collected from the western region 2) Lychee honey, collected from Nanning, Guangxi in South China; 3) Vitex honey, collected from Beijing Miyun and other places in North China; 4) Acacia honey, collected from Laiyang, Shandong in East China; 5) Linden tree honey is collected from Dunhua, Jilin, and Harbin, Heilongjiang, in northeast China. In order to ensure the authenticity and accuracy of the experimental samples and avoid the interference of commercial honey processing technology in the market, the samples were directly purchased from beekeepers through the Bee Research Institute of the Chinese Academy of Agricultural Science...

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Abstract

The invention relates to a honey detection method based on support vector machine algorithm optimization. The honey detection method comprises the following steps: selecting 5 different honey sources including oilseed rape honey extracted from Fuling district and Yongchuan district of Chongqing of the western China, honey of lychee flowers extracted from Nanning of Guangxi of the south China, chaste honey extracted from Miyun of Beijing of the north China, acacia honey extracted from Laiyang of Shandong and basswood honey extracted from Dunhua of Jilin and Harbin of Heilongjiang of northeast as study samples; detecting the to-be-detected sample honey by utilizing adsorption difference of a gas sensor array with different volatile components; changing surface layer current intensity of a semiconductor sensor after the volatile components of the honey are adsorbed with sensor features, and obtaining response curves of each sample through digital conversion so as to detect and analyze the samples and establish a support vector machine discrimination model by utilizing extracted electronic nose feature information to classify the samples of different honey sources.

Description

technical field [0001] This application relates to electronic nose sensor technology, in particular to a honey detection method based on support vector machine algorithm optimization. Background technique [0002] my country's honey production ranks first in the world. In recent years, the output has maintained a rapid growth trend, from 252,000 tons in 2001 to 402,000 tons in 2009, accounting for more than 30% of the world's total output from nearly 20%. However, due to the drive of economic interests, the current honey market is seriously adulterated, resulting in adulterated honey accounting for 20% to 30% of the honey market. In some areas, adulterated and fake bee products account for about 50%, seriously damaging the interests of consumers and affecting The healthy development of the honey industry and the fight against foreign exchange earnings from export trade. [0003] Due to the lack of detection methods, it is difficult to crack down on adulteration. The fundame...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N27/00G01N1/28G01N1/44
Inventor 史波林赵镭汪厚银支瑞聪裴高璞刘宁晶张璐璐解楠
Owner CHINA NAT INST OF STANDARDIZATION
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