Method for quick and non-destructive determination of content of amylase in corn single grains

A technology of amylose content and grain, applied in the direction of measuring devices, material analysis through optical means, instruments, etc., can solve the problems of time-consuming and high cost, and achieve the effect of overcoming time-consuming, fast analysis speed and reliable results

Inactive Publication Date: 2017-05-24
NORTHWEST A & F UNIV
View PDF3 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the limitation that the iodine colorimetric method is difficult to apply to the determination of single-grain amylose content, and to make up for the time-consuming and high-cost deficiencies of the method,

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for quick and non-destructive determination of content of amylase in corn single grains
  • Method for quick and non-destructive determination of content of amylase in corn single grains
  • Method for quick and non-destructive determination of content of amylase in corn single grains

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0022] Example 1 Collection of Near Infrared Spectrum of Corn Single Kernel

[0023] A total of 196 corn single-grain samples were collected, and all materials were equilibrated at room temperature for 60 days before collecting spectra. The spectrum of the sample was collected using a DA7200 near-infrared spectrometer from Perten Company, with a spectral range of 950–1650 nm and a resolution of 2 nm. The single-grain mirror sample tray is used to load the sample, and the grain should be placed horizontally in the center of the sample tray, with the side without germ facing upward. Each sample was loaded 3 times, each sample was scanned 2 times, and the average spectrum was saved (see figure 1 ).

Embodiment 2

[0024] Example 2 NIRS model of single corn amylose content

[0025] 2.1 Model establishment

[0026] After extracting the total starch of each sample, use the dual-wavelength iodine colorimetric method to measure the amylose content of each sample. The measurement wavelengths are 620nm and 510nm respectively. The samples are arranged according to the chemical value from small to large, and every 3 samples are taken to form a verification set. For model validation, the remaining samples constitute the calibration set for modeling. The multivariate chemometric analysis software The Unscrambler (version 9.8) was used to perform first-order derivative + standard orthogonal variable transformation (SNV) spectral preprocessing on the sample spectrum collected in Example 1, and a mathematical model was established by PLS and cross-validated. The modeling results show that the correction set determines the coefficient R 2 =0.8970, cross-validation standard deviation RMSECV=1.805.

...

Embodiment 3

[0029] Embodiment 3 Predict the amylose content of the sample to be tested

[0030] Scan an unknown corn single-grain sample, compare the near-infrared spectra of the unknown sample and the calibration sample, and use the model established above to predict the amylose content of the unknown sample.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a method for quick and non-destructive determination of content of amylase in corn single grains and application thereof. The method mainly comprises a step (1) of collecting corn single grain materials; a step (2) of collecting near infrared spectra of a sample; a step (3) of using a conventional chemical method to determine the content of amylase of the sample; a step (4) of preprocessing the obtained near infrared spectra and eliminating interference factors; a step (5) of establishing a calibration model between a chemical value of the content of amylase in the corn single grains and the near infrared spectra, and checking the model; a step (6) of externally verifying the model; and a step (7) of collecting near infrared spectra of a to-be-measured sample, and using the established near infrared model to perform quick and non-destructive determination of the content of amylase in the to-be-measured sample.

Description

technical field [0001] The invention relates to the technical field of determination of corn single-grain amylose content, and uses near-infrared spectrum technology to realize rapid and non-destructive detection of corn single-grain amylose content. Background technique [0002] The use of high-amylose corn to produce biodegradable plastics may fundamentally solve the problem of white pollution, which will bring a major revolution to the world's environmental protection. Carrying out high-amylose corn breeding, developing high-amylose corn production and processing has huge economic and social benefits. Rapid and accurate determination of amylose content in corn kernels is very necessary for high-amylose corn breeding, and the determination of single-grain amylose content is particularly important for the screening of early-generation materials for corn quality breeding and the physiological and genetic studies of corn amylose. important. Determination of the amylose cont...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G01N21/359G01N21/3563
CPCG01N21/3563G01N21/359
Inventor 郭东伟刘林三薛吉全钟雨越张仁和冯娇娇郝引川张兴华徐淑兔路海东刘建超
Owner NORTHWEST A & F UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap