Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for nondestructively measuring main fatty acid content of peanut seeds

A non-destructive, fatty acid technology, applied in scattering characteristics measurement, measurement device, material analysis by optical means, etc., can solve the problems of unevenness and large peanut seed particles, and achieve simple operation, high measurement accuracy and sensitivity. high effect

Inactive Publication Date: 2010-11-17
SHANDONG PEANUT RES INST
View PDF0 Cites 46 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, there have been no reports on the non-destructive determination of fatty acid content, an important indicator for determining peanut quality. Due to the large and uneven particle size of peanut seeds, the use of near-infrared spectroscopy to determine the content of fatty acids needs to be improved on existing technologies. more improvements

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 nondestructively measuring main fatty acid content of peanut seeds
  • Method for nondestructively measuring main fatty acid content of peanut seeds
  • Method for nondestructively measuring main fatty acid content of peanut seeds

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] The method for the non-destructive determination of the main fatty acid content of peanut seeds of the present invention comprises the following steps:

[0033] The first step is to select the standard sample set of peanut seeds

[0034] In order to establish a mathematical model for the prediction of major fatty acids, it is necessary to select a standard sample set of peanut seeds, and the number of samples should not be less than 150. In this embodiment, peanut varieties with different genotypes are selected as the standard sample set for modeling, among which 331 local varieties, stable mutants and bred varieties preserved by the Peanut Research Institute of Shandong Province are selected. These materials are all peanuts There are 51 shares of common type, 13 shares of longsheng type, 19 shares of multi-grain type, 116 shares of pearl bean type, and 132 shares of intermediate type. Near-infrared scanning was performed on these 331 peanut materials to obtain their n...

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 discloses a method for nondestructively measuring main fatty acid content of peanut seeds. The method comprises the following steps of: based on the Fourier transform near-infrared diffuse reflection spectrum technology, scanning spectrums by adopting a best integrating sphere diffuse reflection mode for eliminating solid granule non-uniformity, establishing a multiple regression mathematical model by using full peanut seeds of multiple genotypes as standard sample sets, and predicting the main fatty acid content of an unknown sample through the model. The method is nondestructive, does not need to treat the sample, and does not harm the vitality and tissue structure of the seeds. The method has the advantages of simple operation, high sensitivity, high scanning speed, good signal-to-noise ratio and high measurement speed, and is suitable for high oleic acid quality breeding, germ plasm resource identification and inheritance rule research of peanuts.

Description

technical field [0001] The invention relates to the technical field of quantitative analysis of quality components of peanut seeds, in particular to a method for non-destructively measuring the content of main fatty acids in peanut seeds using Fourier transform near-infrared spectrum analysis technology combined with modern stoichiometric methods. Background technique [0002] In recent years, the breeding goal of peanuts has shifted from yield-oriented to equal emphasis on yield and quality, especially focusing on the breeding research of high oleic acid content and high resveratrol content that can prevent and treat human cardiovascular and cerebrovascular diseases. Breeding new peanut varieties with high oleic acid content (high O / L value) is one of the most important goals in peanut quality breeding. In order to improve the quality of peanuts, in addition to requiring that a large number of samples can be processed easily and quickly, the quality detection technology use...

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): G01N21/49G01N21/51G01N21/3563G01N21/359
Inventor 禹山林杨庆利潘丽娟曹玉良闵平朱雨杰
Owner SHANDONG PEANUT RES INST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com