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Food quality detection system and detection method based on electronic nose

A quality inspection and electronic nose technology, applied in the direction of material resistance, can solve the problems of single detection data processing method, narrow product range, and limited electronic nose technology, so as to improve the detection accuracy, solve the baseline drift, and improve the accuracy. Effect

Inactive Publication Date: 2013-09-18
ZHEJIANG GONGSHANG UNIVERSITY
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

The disadvantage of this invention is that the processing method for the detection data is single; the range of products that can be detected is narrow
The disadvantage of this invention is that the processing method of detection data is single, the range of products that can be detected is narrow, and the problem of baseline drift that occurs when the gas sensor works for a long time is not solved, which limits the application of electronic nose technology in the field of rapid food detection. effect

Method used

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  • Food quality detection system and detection method based on electronic nose
  • Food quality detection system and detection method based on electronic nose
  • Food quality detection system and detection method based on electronic nose

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Embodiment 1

[0054] Such as figure 1 As shown, the food quality detection system based on the electronic nose of the present embodiment includes an electronic nose system, an air filter device and a microcomputer, and also includes a sample container 3, and the air filter device includes a first air filter device 1 and a second air filter device. Two air filter devices 2; the electronic nose system 4 is connected with the microcomputer 5; the first air filter device is connected with the sample container, and the second air filter device is connected with the electronic nose system.

[0055] The microcomputer is equipped with host computer control software for controlling the electronic nose system to set working parameters, sample detection, sensor cleaning and experimental data collection, processing and analysis. The electronic nose system includes a sensor array, an air supply power unit and several air chambers. The sensor array includes 8 gas sensors; each sensor is in an indep...

Embodiment 2

[0078] The structural part in embodiment 2 is identical with embodiment 1, in embodiment 1

[0079] Insert the following steps between said step (7) and step (8):

[0080] Such as Figure 9 As shown, different food quality prediction models are fitted according to the cross-correlation coefficient eigenvalue foe of different quality foods;

[0081] Substitute the eigenvalue foe of the cross-correlation coefficient into the formula of the following milk quality prediction model to calculate the food quality coefficient:

[0082]

[0083] Among them, foe is the eigenvalue of the cross-correlation coefficient, is the food quality factor.

[0084] Judging food quality based on milk quality coefficient.

[0085] Detect pure milk samples mixed with different proportions of milk powder:

[0086] The detection principle of the semiconductor gas sensor is the change of electrical properties caused by the combination of sensitive materials and milk volatile gas components,...

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Abstract

The invention discloses a food quality detection system and detection method based on an electronic nose. The food quality detection system comprises an electronic nose system, air filtering devices and a micro computer and also comprises a sample container, wherein the air filtering devices comprise a first filtering device and a second air filtering device; the electronic nose system is connected with the micro computer; the first air filtering device is connected with the sample container, and the second air filtering device is connected with the electronic nose system. Upper computer control software used for controlling the electronic nose system to set working parameters, detect samples, clean a sensor and collect, process and analyze experiment data is arranged in the micro computer. The electronic nose system comprises a sensor array, an air supply power device and a plurality of air chambers. The baseline drift problem of a semiconductor gas sensor is solved by the threshold stochastic resonance cross correlation coefficient analysis technology of the system, and the accuracy of food quality analysis is increased.

Description

technical field [0001] The invention relates to the field of food quality detection, in particular to a food quality detection system and detection method based on an electronic nose. Background technique [0002] Food quality is one of the important indicators of food quality, and it is also one of the main factors that determine whether food can be accepted by consumers. At present, artificial sensory evaluation methods are generally used for food quality, but human sensory organs are easily disturbed by the environment, individual differences of judges and subjective factors, thus reducing the accuracy of evaluation results. At the same time, artificial sensory precautions are not suitable for evaluating toxic substances. Although instrumental analysis methods represented by chromatography can qualitatively and quantitatively analyze food odor components, this method generally has shortcomings such as time-consuming, high cost, expensive equipment, and toxicity, and is ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N27/12
Inventor 惠国华张千金陈丹妮汤旭祥
Owner ZHEJIANG GONGSHANG UNIVERSITY
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