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Evaluation method of food quality based on metabolomics data fusion and artificial neural network and application thereof

An artificial neural network and evaluation method technology, which is applied in the field of food quality evaluation methods and electronic equipment, can solve the problems that affect the food quality evaluation results and the results are easily affected by subjectivity, and achieve easy application and promotion, fast calculation speed, The effect of reducing workload

Active Publication Date: 2019-07-09
CHINESE ACAD OF INSPECTION & QUARANTINE
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AI Technical Summary

Problems solved by technology

[0002] At present, the evaluation method of domestic food is still based on the traditional sensory evaluation, and the results are easily affected by subjectivity. Factors such as olfactory fatigue and olfactory fatigue will directly affect the evaluation results of food quality

Method used

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  • Evaluation method of food quality based on metabolomics data fusion and artificial neural network and application thereof
  • Evaluation method of food quality based on metabolomics data fusion and artificial neural network and application thereof
  • Evaluation method of food quality based on metabolomics data fusion and artificial neural network and application thereof

Examples

Experimental program
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Embodiment 1

[0052] In this example, 28 kinds of garlic samples were collected from four planting points of different origins (Shandong, Jiangsu, Henan and Yunnan) for metabolomics analysis. Firstly, the volatile metabolites in garlic were detected by GC / MS, and the method was as follows:

[0053] 1. Metabolite detection

[0054] 1.1 Detection of volatile metabolites

[0055] 1.1.1. Sample preparation for volatile metabolites:

[0056] First, fully homogenize the garlic sample in a homogenizer, quickly weigh 2 g of the sample, place it in a 20 ml injection bottle, add 20 μl of 2-octanol (0.2 mg / ml), and tighten the bottle cap. Place the sampling bottle on the CTC autosampler, keep the sampling bottle at 40°C for 10 minutes, automatically insert the solid-phase microextraction head, and perform adsorption of volatile metabolites on the top of the sampling bottle, and absorb at 40°C for 40 minutes. Shake. Then, the solid-phase microextraction head was inserted into the gas chromatograph ...

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Abstract

The invention discloses an evaluation method of food quality and application thereof. The evaluation method of the food quality is performed based on metabolomics and an artificial neural network model; the artificial neural network model comprises an input layer including multiple input parameters, wherein the input parameters contain a content parameter of at least one food metabolite, and the content parameter of the food metabolite is acquired based on the metabolomics data fusion; a hidden layer; and an output layer including multiple output parameters, wherein the output parameters contain at least one food sense organ score. Through the method disclosed by the invention, a metabolomics key index of the food is used as the input layer, and the sense organ score of the food is used asthe output layer so as to establish a quality evaluation model of the food based on the artificial neural network; the mathematical formula or weight is unnecessary, and the method is simple; the evaluation method is objective, comprehensive, scientific and easy to apply and popularize.

Description

technical field [0001] The invention relates to the field of analytical chemistry, in particular to an evaluation method and electronic equipment for food quality. Background technique [0002] At present, the domestic food evaluation method is still based on the traditional sensory evaluation, and the results are easily affected by subjectivity. Factors such as the experience of the evaluators, personal preferences, regional differences, and olfactory fatigue will directly affect the evaluation results of food quality. . Therefore, it is of great significance to study scientific, objective and accurate evaluation methods for food quality and to make reasonable evaluation models and systems for food quality in order to promote the standardized production, structural adjustment and healthy and rapid development of my country's food industry. Contents of the invention [0003] The present invention aims to solve at least one of the technical problems existing in the prior a...

Claims

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Application Information

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IPC IPC(8): G01N30/02G01N30/06
CPCG01N30/02G01N30/06G01N2030/027G01N2030/062
Inventor 张峰刘建国伟杨敏莉
Owner CHINESE ACAD OF INSPECTION & QUARANTINE
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