Medium-infrared spectroscopy method for sensitively predicting quality characteristics of ephedra

A technology of infrared spectroscopy and ephedra, which is applied in measuring devices, material analysis by optical means, instruments, etc., can solve problems such as sensitive prediction of plant quality characteristics and low content.

Active Publication Date: 2018-12-14
CHONGQING MEDICAL UNIVERSITY
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

To date, no sensitive prediction of plant quality traits with small differences and low levels of secondary metabolites has been performed using mid-infrared spectroscopy.

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
  • Medium-infrared spectroscopy method for sensitively predicting quality characteristics of ephedra
  • Medium-infrared spectroscopy method for sensitively predicting quality characteristics of ephedra
  • Medium-infrared spectroscopy method for sensitively predicting quality characteristics of ephedra

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] Example 1 A Mid-infrared Transmission Spectroscopy Method for Sensitive Prediction of Ephedra Species

[0062] 1. Collection of Ephedra Plant Samples

[0063] Collect and record different kinds of ephedra plant samples, including 12 batches of grass ephedra, 3 batches of medium ephedra and 1 batch of horsetail ephedra, and place them at room temperature and 40% to 60% relative humidity to reduce the moisture contained in the ephedra plant samples to a relatively low level. stable level, take its herbaceous stems to obtain ephedra samples.

[0064] 2. Preparation of Ephedra Powder Samples

[0065] Pulverize under the power of 250W for 50 seconds (every 10 seconds interval of pulverization is 2 seconds), pass through 100~200 mesh sieves, obtain the ephedra powder sample.

[0066] 3. Preparation of the test sample and measurement of mid-infrared spectrum

[0067] Get the ephedra powder sample and potassium bromide (spectrally pure), grind it evenly in an agate mortar ac...

Embodiment 2

[0093] Example 2 A Mid-infrared Transmission Spectroscopy Method for Sensitively Predicting the Origin of Ephedra

[0094] This embodiment adopts the same test sample preparation method, spectral measurement conditions and methods as in Example 1, and the difference from Example 1 is that this embodiment uses ephedra plant samples from different origins to establish the prediction of ephedra origin with optimal modeling parameters Model.

[0095] 1. Collection of Ephedra Plant Samples

[0096] Collect and record ephedra plant samples from different origins, including 24 batches of ephedra in Shanxi and 4 batches of ephedra in Inner Mongolia, and place them at room temperature and 40% to 60% relative humidity to reduce the moisture contained in the ephedra plant samples to a relatively stable level , take its herbaceous stems to obtain ephedra samples.

[0097] 2. Preparation of Ephedra Powder Samples

[0098] With embodiment 1.

[0099] 3. Preparation of the test sample an...

Embodiment 3

[0126] Example 3 A mid-infrared transmission spectrometry method for sensitively predicting the daily picking time of ephedra

[0127] This embodiment adopts the same preparation method, spectral measurement conditions and methods of the test product as in Example 1. The difference from Example 1 is that this embodiment uses the ephedra plant samples picked at different times in the day to establish the ephedra intraday with optimal modeling parameters. A prediction model for picking time.

[0128] 1. Collection of Ephedra Plant Samples

[0129] Collect and record the samples of Shanxi ephedra plants picked at different times of the day, including 8 batches of Shanxi grass ephedra picked in the morning and 7 batches of Shanxi grass ephedra picked in the afternoon. Place the ephedra plant samples at room temperature and 40% to 60% relative humidity. The water content is reduced to a relatively stable level, and the herbaceous stems are taken to obtain ephedra samples.

[0130...

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 medium-infrared spectroscopy method for sensitively predicting the quality characteristics of ephedra. The quality characteristics are any one or more of species, place of origin, intra-day picking time and secondary metabolite content. The method comprises the following steps: firstly, collecting ephedra plant samples with different quality characteristics, preparing theephedra plant samples into test samples, measuring a medium-infrared transmission spectrum, performing chemometric pretreatment on the obtained spectrum or not, selecting a modeling spectrum range and characteristic variables, respectively establishing qualitative models for predicting the species, the place of origin and the intra-day picking time of the ephedra by using a discriminant analysismethod or a counter propagation artificial neural network, establishing a qualitative model for predicting the secondary metabolite content of the ephedra by using partial least square regression or the counter propagation artificial neural network, and finally predicting the quality characteristics of unknown ephedra samples by using the established models. Compared with the prior art, the methodof the invention has the advantages of improving the positive judgment rate of the intra-day picking time which is difficult to discriminate, and realizing the accurate prediction of the low-contentsecondary metabolite methylephedrine.

Description

technical field [0001] The invention relates to a method for predicting quality characteristics of plants, more specifically, to a method for sensitively predicting quality characteristics of ephedra using mid-infrared spectroscopy. Background technique [0002] Humans have a long history of utilizing ephedra and its secondary metabolites, and people have realized that the quality characteristics of ephedra are affected by factors such as heredity, ecological environment, and metabolic rhythm. In other words, the value of ephedra is different depending on the type, place of origin or / and picking time of ephedra, and the composition or / and content of its secondary metabolites are different. With the growing scarcity of plants, soil and other resources, improving the utilization of resources has become a top priority. Therefore, the establishment of a method for sensitively predicting the quality characteristics of ephedra is of great significance for the study of the change ...

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): G01N21/3563
CPCG01N21/3563G01N2021/3568
Inventor 范琦张雪杨洋
Owner CHONGQING MEDICAL 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

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