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Method for detection of protein content distribution in peanut based on hyperspectral imaging technology

A technology of protein content and hyperspectral imaging, which is applied in the field of detection of protein content distribution in peanuts based on hyperspectral imaging technology, can solve the problems of detection of protein content distribution in peanuts

Active Publication Date: 2018-08-17
INST OF AGRO FOOD SCI & TECH CHINESE ACADEMY OF AGRI SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the research mainly focuses on the purity of seeds. So far, there is no report on the detection of protein content distribution in peanuts by hyperspectral imaging technology at home and abroad.

Method used

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  • Method for detection of protein content distribution in peanut based on hyperspectral imaging technology
  • Method for detection of protein content distribution in peanut based on hyperspectral imaging technology
  • Method for detection of protein content distribution in peanut based on hyperspectral imaging technology

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Embodiment 1

[0067] The present embodiment provides a method for establishing a quantitative model of protein content distribution in peanuts based on hyperspectral imaging technology, the method comprising the following steps:

[0068] 1.1 Collect 120 varieties of peanut samples mainly planted in my country's main planting provinces in 2012, 2013 and 2014, select 30 complete peanut kernels from each variety, and use a hyperspectral instrument to simultaneously scan each pixel point in the peanut sample at each wavelength The image information of the peanut sample was repeated three times, and the average value of the three scanned hyperspectral images was taken to obtain the original hyperspectral three-dimensional image of the peanut sample. Before each scan, collect a full white calibration image I white and all-black calibration image I dark .

[0069] 1.2 After correcting and deleting the background of the original hyperspectral three-dimensional image of the above-mentioned peanut s...

Embodiment 2

[0091] The present embodiment provides a method for detecting protein content distribution in peanuts based on hyperspectral imaging technology, the method comprising the following steps:

[0092] 1) Collect the spectral images of the peanut sample to be tested at the following characteristic wavelengths: 931nm, 934nm, 941nm, 944nm, 1020nm, 1120nm, 1137nm, 1207nm, 1273nm, 1370nm, 1380nm, 1594nm, 1654nm, 1678nm.

[0093] Specific process: Take another 6 peanut varieties, use the hyperspectral instrument to obtain the original hyperspectral three-dimensional image of the peanut sample in the same way as in Example 1; then use the same method as in Example 1 to extract the average spectrum of the peanut sample image; The average spectrum of the 6 varieties of peanut samples was preprocessed with the second derivative; finally, the spectral reflectance values ​​of the 6 varieties of peanut samples at the above characteristic wavelengths were obtained.

[0094] 2) Input the spectra...

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Abstract

The invention provides a method for detecting protein content distribution in peanuts based on a hyperspectral imaging technology. The method comprises the following steps: collecting a spectral image of a peanut sample at a characteristic wavelength, and inputting the preprocessed spectral reflection value at the characteristic wavelength into a peanut protein content distribution quantitative model to obtain protein content distribution in the peanut sample. The invention also provides a method for establishing the peanut protein content quantitative model. The method comprises the following steps: collecting a hyperspectral image of a peanut, and determining the protein content of the peanut by utilizing a conventional method; processing the hyperspectral image by image correction and background deletion, and extracting an average spectrum; and establishing a full-wave band mathematic model for protein content by taking the preprocessed average spectrum as an independent variable, and the protein content as a dependent variable, determining the characteristic wavelength by utilizing a regression coefficient on the basis of the full-wave band mathematic model, and establishing and verifying the quantitative model. The methods provided by the invention are quick, easy and convenient, high in efficiency and accurate in determination results, do not damage the sample, do not use any chemical reagents, and achieve the visualization of peanut protein content.

Description

technical field [0001] The invention relates to a method for detecting protein content in peanuts, in particular to a method for detecting protein content distribution in peanuts based on hyperspectral imaging technology. Background technique [0002] In 2013, my country's peanut production was 16.97 million tons, ranking first in the world. Peanuts contain a lot of nutrients, among which the protein content is as high as 24% to 36%. Research on the nutritional value of peanut protein has proved that the biological value (BV) of peanut protein is 59, the net protein utilization rate (NPD) is 51, and the pure digestibility can reach 90%, which is similar to animal protein and easier to absorb than soybean protein . Traditional methods for determining protein content in peanuts include: Kjeldahl method and spectrophotometry, but these methods have disadvantages such as slow analysis speed, cumbersome operation steps, high cost and strong destructiveness, and the use of reage...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/25
Inventor 王强刘红芝于宏威石爱民刘丽胡晖林伟静瑞哈曼米兹比瑞
Owner INST OF AGRO FOOD SCI & TECH CHINESE ACADEMY OF AGRI SCI
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