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A method for rapidly predicting the quantity of rice infected by aspergillus fungi based on an electronic nose

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

Pending Publication Date: 2019-05-03
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Aiming at the problems of complicated time-consuming, low efficiency, and high cost of the current fungal detection methods, the present invention provides a method for rapidly predicting the number of rice infected by Aspergillus fungi based on an electronic nose, which can accurately and quickly identify contaminated rice degree without damaging the rice sample

Method used

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  • A method for rapidly predicting the quantity of rice infected by aspergillus fungi based on an electronic nose
  • A method for rapidly predicting the quantity of rice infected by aspergillus fungi based on an electronic nose
  • A method for rapidly predicting the quantity of rice infected by aspergillus fungi based on an electronic nose

Examples

Experimental program
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Effect test

Embodiment 1

[0032] A method for quickly predicting the number of rice infected by Aspergillus jaundice based on electronic nose, its steps are as follows:

[0033] (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. Take out a batch of rice samples every 24 hours and place them in a container at room temperature to seal. A total of 7 groups of samples were taken out (each group of samples was repeated 21 times), and each group was numbered 0d, 1d, 2d, 3d, 4d, 5d, 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...

Embodiment 2

[0042] A method for quickly predicting the number of rice infected by Aspergillus fumigatus based on electronic nose, its steps are as follows:

[0043] (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. Take out a batch of rice samples every 24 hours and place them in a container at room temperature to seal. A total of 7 groups of samples were taken out (each group of samples was repeated 21 times), and each group was numbered 0d, 1d, 2d, 3d, 4d, 5d, 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...

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Abstract

The invention discloses a method for rapidly predicting the quantity of rice infected by aspergillus fungi based on an electronic nose. The method comprises the following steps: carrying out ultraviolet sterilization on rice, and inoculating a certain amount of aspergillus fungi into the rice; carrying out headspace gas detection on the samples of the inoculated rice with different storage times by using an electronic nose; meanwhile, detecting the colony number of the rice smaples by adopting a traditional plate count method; and optimizing the electronic nose sensor array according to principal component analysis, and performing feature extraction on the optimized sensor response signal by using a stable value method; and finally, establishing a prediction model based on an electronic nose signal characteristic value and the colony number by adopting a partial least squares regression algorithm, and selecting a regression model with a large correlation coefficient and a small root-mean-square error as a final colony number prediction model so as to obtain a predicted colony number. The method has no damage to the rice sample, is simple to operate, has a good prediction effect, and has relatively high practical application value.

Description

technical field [0001] The invention belongs to the field of microorganism detection and relates to a method for rapidly predicting the number of rice infected 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 ag...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/02C12Q1/06C12R1/66
Inventor 王俊顾双
Owner ZHEJIANG UNIV
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