Method for predicting degree that rice is contaminated by aspergilli based on electronic nose

An Aspergillus fungus and electronic nose technology, applied in the field of microbial detection, can solve the problems of complex and time-consuming, low efficiency and high cost of fungal detection methods

Inactive Publication Date: 2019-04-23
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] Aiming at the problems of complex time-consuming, low efficiency and high cost of the current fungal detection methods, the present invention provides a method for rapidly predicti

Method used

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  • Method for predicting degree that rice is contaminated by aspergilli based on electronic nose
  • Method for predicting degree that rice is contaminated by aspergilli based on electronic nose
  • Method for predicting degree that rice is contaminated by aspergilli based on electronic nose

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Embodiment 1

[0034] A method for quickly predicting the degree of rice infection by Aspergillus jaundice based on electronic nose, its steps are as follows:

[0035] (1) Take the commercially available Jiangsu Xingjia rice as the experimental object, and place it at 110mW s / cm 2 After sterilizing for 30-60min under the ultraviolet lamp, 7 batches of rice samples were selected to inoculate 0.2mL concentration of 10 7CFU / mL Aspergillus leucobacter spore suspension, and stored at 28±1°C, 85% relative humidity. A batch of rice samples was taken out every 24 hours and placed in a container at room temperature and sealed. A total of 7 batches were taken out, numbered 0d, 1d, 2d, 3d, 4d, 5d, and 6d. The volume of the container is 500mL. After the sample is left to stand for 60 minutes, the headspace gas in the sealed container is saturated to obtain the headspace gas; before the start of each electronic nose test, the electronic nose system is cleaned with dry and clean air, and the cleaning met...

Embodiment 2

[0045] A method for quickly predicting the degree of rice infection by Aspergillus fumigatus based on electronic nose, its steps are as follows:

[0046] (1) Take the commercially available Jiangsu Xingjia rice as the experimental object, and place it at 110mW s / cm 2 After sterilizing for 30-60min under the ultraviolet lamp, 7 batches of rice samples were selected to inoculate 0.2mL concentration of 10 7 CFU / mL Aspergillus fumigatus spore suspension, and stored at 28±1°C, 85% relative humidity. A batch of rice samples was taken out every 24 hours and placed in a container at room temperature and sealed. A total of 7 batches were taken out, numbered 0d, 1d, 2d, 3d, 4d, 5d, and 6d. The volume of the container is 500mL. After the sample is left to stand for 60 minutes, the headspace gas in the sealed container is saturated to obtain the headspace gas; before the start of each electronic nose test, the electronic nose system is cleaned with dry and clean air, and the cleaning met...

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Abstract

The invention discloses a method for predicting the degree that rice is contaminated by aspergilli based on an electronic nose. The method comprises the steps that after the rice is subjected to ultraviolet sterilization, the aspergilli is inoculated on the rice; by using the electronic nose, samples obtained after the rice stored for different time is inoculated are subjected to headspace gas detection; by using the plate count method, the number of bacterial colonies on the rice samples is detected; according to principal component analysis, an electronic nose sensor array is optimized, andthe optimized sensor response signals are subjected to feature extraction by using the stable value method; a prediction model based on electronic nose signal feature values and the number of the bacterial colonies is built by using the modified support vector machine (GA-SVM) algorithm optimized based on the genetic algorithm, the regression model with a large correlation index and a low root-mean-square error is selected as a final prediction model for the number of the bacterial colonies, and therefore, the predicted number of the colony forming units is obtained. The method can quickly predict the degree that the rice is contaminated by the aspergilli, the rice samples are not damaged, the operation is simple, a good prediction effect si achieved, and the method is higher in practicalapplication value.

Description

technical field [0001] The invention belongs to the field of microbial detection and relates to a method for rapidly predicting the degree of rice infection by Aspergillus fungi based on an electronic nose. Background technique [0002] Rice is one of the most important food varieties in the world. About 50% of the world's population uses rice as a staple food, and more than 2 billion people in Asia use rice and its products as the main source of calorie intake. Over the years, my country's rice output has ranked first in the world, accounting for about 30% of the world's total rice output, accounting for about 1 / 3 of the domestic total grain output. And with the improvement of people's living standards and the increase of population, its consumption is also in a gradual upward trend. However, grains are rich in nutrients, and are very susceptible to fungal infection and deterioration under suitable moisture and temperature conditions. It is reported that the loss of agric...

Claims

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Application Information

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IPC IPC(8): C12Q1/04G01N27/20G06N3/12G06N99/00
CPCC12Q1/04G01N27/20G06N3/126
Inventor 王俊顾双
Owner ZHEJIANG UNIV
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