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

Identification method of bamboo raw fiber based on infrared and two-dimensional correlation spectra

A two-dimensional correlation spectrum and bamboo fiber technology, which is applied in the field of infrared and two-dimensional correlation spectrum identification of Bamboo fibrils, can solve problems such as the influence of chemical component content and increase fiber identification, and achieve rapid identification and easy operation. , Identify low-cost effects

Inactive Publication Date: 2012-09-12
INST OF WOOD INDUDTRY CHINESE ACAD OF FORESTRY
View PDF1 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for the spinnable natural plant fibers after degumming treatment, the content of relevant chemical components is affected by the degree of degumming, so chemical treatment increases the identification of fibers

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
  • Identification method of bamboo raw fiber based on infrared and two-dimensional correlation spectra
  • Identification method of bamboo raw fiber based on infrared and two-dimensional correlation spectra
  • Identification method of bamboo raw fiber based on infrared and two-dimensional correlation spectra

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0035] Embodiment 1: the recognition of Arthrophyllum bamboo fiber and jute fiber, flax fiber and cotton fiber:

[0036] (1) In the experiment, the raw bamboo fiber, jute fiber, flax fiber and cotton fiber were collected from Beijing Institute of Fashion Technology, Hunan Chenzhou Ma Textile Co., Ltd., Hunan Zhuzhou Cedar Co., Ltd. and the market. The four kinds of fibers were isolated with a mixture of glacial acetic acid and hydrogen peroxide (V:V=1:1), bath ratio 1:80, 60° water bath for 30 hours, then dispersed, then washed with distilled water, and Dry in an oven at 45°C.

[0037] (2) Grind the treated fiber into powder, then add potassium bromide powder, the weight ratio of plant fiber powder to potassium bromide is 2-3: 100, and carry out tablet preparation.

[0038] (3) Spectrum GX Fourier Transform Infrared Spectrometer from Perkin Elmer Company of the United States was used. Using DTGS detector with a resolution of 4 cm -1 , spectral range 4 000 ~ 400cm -1 , the ...

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
viewing angleaaaaaaaaaa
Login to View More

Abstract

The invention discloses an identification method of bamboo raw fiber based on infrared and two-dimensional correlation spectra. The method comprises the steps of: separating natural plant fiber with a mixed solution of glacial acetic acid and hydrogen peroxide; grinding the treated natural plant fiber into plant fiber powder, then adding potassium bromide into the plant fiber powder, carrying out tablet-forming to prepare the sample, and measuring the one-dimensional infrared spectrum of the tablet sample; measuring the two-dimensional correlation infrared spectrum of the tablet sample, which is generated by disturbance in any form; comparing the one-dimensional infrared spectrum and the two-dimensional correlation infrared spectrum, thereby enabling direct identification of bamboo raw fiber and other plant fiber. According to the invention, the identification method is simple and feasible, the consumption of sample is small, bamboo raw fiber can be identified accurately and rapidly, the operation is easy, and the identification cost is low.

Description

[0001] technical field [0002] The invention belongs to a method for identifying bamboo raw fibers based on infrared and two-dimensional correlation spectra, and mainly relates to an infrared and two-dimensional correlation spectrum identification method for the original fibers of Cizhu bamboo. Background technique [0003] Bamboo fiber is a new type of environmentally friendly natural textile fiber, and bamboo fiber is mostly prepared from bamboo as raw material. Bamboo raw fiber is a bunch of fibers that are directly separated from bamboo by physical, mechanical and chemical methods and have not been completely degummed. It maintains the structure and characteristics of bamboo fiber, and has moisture absorption, breathability, UV resistance, deodorization, drape and wear resistance. Etc. At present, raw bamboo fiber has been tried to make pillowcases, cushions, summer mats, clothing and other products. However, due to the excellent characteristics and relatively high va...

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 Applications(China)
IPC IPC(8): G01N21/35G01N21/3563
Inventor 孙柏玲刘君良王越平黄安民
Owner INST OF WOOD INDUDTRY CHINESE ACAD OF FORESTRY
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