Rapid identification method of germinated sunflower seeds by terahertz spectroscopy

An identification method, the technology of sunflower seeds, applied in the field of oil crop quality detection, can solve the problems of not being able to solve the safety problems of oil crops well, insufficient spatial resolution and sensitivity, and the inability to detect with trace samples, so as to improve modeling Accuracy, reduction of data redundancy, and good practical value

Active Publication Date: 2022-06-17
BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, spectroscopic techniques also have their shortcomings, such as some spectroscopic techniques are interfered by the color and shape of the sample, the spatial resolution and sensitivity are not enough, or they cannot be used for trace sample detection and detection through sealed packaging materials, etc. These are unavoidable The common problems of the classic spectrum technology are hindered in the quality detection of oil crops, and cannot solve the safety problems of oil crops well

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
  • Rapid identification method of germinated sunflower seeds by terahertz spectroscopy
  • Rapid identification method of germinated sunflower seeds by terahertz spectroscopy
  • Rapid identification method of germinated sunflower seeds by terahertz spectroscopy

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0044] Example: Rapid detection of terahertz attenuated total reflection of germinated sunflower seeds

[0045] 1. Experimental materials

[0046] In order to eliminate the interference of other factors, 500 g of sunflower seeds were purchased at one time in the experiment, and individual broken seeds were artificially removed and stored in a dry and ventilated room temperature environment.

[0047] 2. Sample Preparation

[0048] Select 60 sunflower seeds with uniform size, uniform color, intact and unbroken, and blow them clean. 30 seeds were reserved for normal sunflower seed samples, and the remaining 30 seeds were used for germination and cultivation. Preliminary investigations found that oil crops are most likely to germinate under high temperature, high humidity, and semi-closed ventilation. Therefore, in order to promote the rapid germination of sunflower seeds, half of the 30 sunflower seeds to be cultivated were soaked in warm water at 30-40°C. After 1 hour, take i...

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

PropertyMeasurementUnit
refractive indexaaaaaaaaaa
Login to view more

Abstract

The present invention discloses a rapid terahertz spectrum identification method for germinated sunflower seeds, using terahertz attenuation total reflection technology to detect germinated sunflower seeds, without grinding and pressing sunflower seed samples, and adopting a spectral preprocessing method combined with a machine learning algorithm, Establish a qualitative model of extreme learning machine based on the refractive index of normal sunflower seeds and germinated sunflower seeds to achieve fast, accurate and pollution-free detection of the quality of sunflower seeds.

Description

technical field [0001] The invention provides a terahertz spectrum rapid identification method for sprouted sunflower seeds, in particular to the rapid, accurate and pollution-free detection of sunflower seed sprouted grains using terahertz attenuated total reflection technology, and belongs to the technical field of oil crop quality detection. Background technique [0002] As people pay attention to the safety of edible oil, oil crops are the main source of edible vegetable oil, and their quality and safety have also attracted people's attention. The selection of raw materials is the most important link in the actual production process, and the quality of oil crops directly affects the quality of oil produced. As one of the five major oil crops in the world, sunflower seeds have become particularly important in quality inspection. Due to the negligence of management, the safe moisture content of crops (generally less than 11%) is not paid attention to, and the sunflower se...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/3586G06N3/08G06N3/04
CPCG01N21/3586G06N3/084G06N3/048G06N3/045
Inventor 刘翠玲王少敏吴静珠于重重孙晓荣刘浩言杨雨菲
Owner BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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