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

Detection method for analyzing xanthium sibiricum adulteration through near infrared spectrum and GBDT algorithm

A technology of near-infrared spectroscopy and algorithm analysis, which is applied in the field of rapid detection of traditional Chinese medicine products, can solve the problems of inability to detect quality and online monitoring and identification, it is difficult to evaluate the integrity of quality standards, and it is not easy to promote small and medium-sized enterprises. It achieves good prediction results, The effect of rich spectral structure signal quantity and diversified measurement forms

Pending Publication Date: 2022-02-08
BEIJING INST OF TECH ZHUHAI CAMPUS
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] (1) Character identification: character identification and microscopic identification based on indicators such as size, character, color, thorns, and texture. In view of the wide distribution of cocklebur resources in my country, it is widely distributed in many provinces such as Hebei, Jiangxi, Hunan, Gansu, Qinghai, and Guangdong. The traits of cocklebur are closely related to the climate environment, and the identification of traits is often not accurate enough, and the error is large;
[0004] (2) Physical and chemical inspection and instrument inspection: Thin-layer chromatography, ultraviolet spectroscopy, liquid chromatography, gas chromatography, liquid chromatography-mass spectrometry and other methods are used for detection, which require the use of a large number of organic reagents, which are time-consuming and cumbersome, especially Based on the complexity of traditional Chinese medicine ingredients, it is sometimes difficult to evaluate the integrity of its quality standards for the characteristic response of some specific ingredients
[0008] The highly similar adulterated products from the same genus as Xanthium are difficult to identify in terms of structure by means of microscopic identification and character identification
[0009] (2) It is impossible to evaluate its quality as a whole
[0010] Physical and chemical testing and instrumental testing, aiming at the characteristic response of some specific ingredients, in view of the complexity of the ingredients and efficacy of traditional Chinese medicine, sometimes it is difficult to evaluate the integrity of its quality standards
In particular, samples from different regions in my country and harvested at different times, because of the difference in plant metabolism and environment, their functional chemical components will be different, which is easy to cause errors
[0011] (3) The operation is cumbersome and it is difficult to achieve rapid detection
[0012] The method is often based on complex instrumental analysis, requires the use of a large number of reagents, the pretreatment process is time-consuming and cumbersome, equipped with large analytical instruments and requires operators to have solid analytical experience
Especially in the face of large quantities of cocklebur samples, it is impossible to quickly detect and online monitor and identify their quality, and it is not easy to promote to the majority of small and medium-sized enterprises

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
  • Detection method for analyzing xanthium sibiricum adulteration through near infrared spectrum and GBDT algorithm
  • Detection method for analyzing xanthium sibiricum adulteration through near infrared spectrum and GBDT algorithm
  • Detection method for analyzing xanthium sibiricum adulteration through near infrared spectrum and GBDT algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] Embodiment 1, a kind of detection method that near-infrared spectrum and GBDT algorithm analyzes cocklebur adulteration, comprises the following steps:

[0041] S1. Sample preparation: Collect 570 samples of authentic Xanthium, Mongolian Xanthium, and partial base Xanthium, and repeat 3 times for each batch of samples; take the dried stems, grind them into powder, pass through a 50-mesh sieve, and put them into diameter 6cm in diameter and 4cm in height in a round colorless glass vial, and the powder in the bottle is about 3cm in thickness, sealed at 25°C for later use; prepare counterfeit samples mixed with Xanthium mongolica and Xanthium spp. The pseudo-content range gradient is 5%-90%.

[0042] S2. Spectrum collection of samples: in step S1, all the samples are fully mixed and placed in the near-infrared spectrum testing room, and the spectra of the samples are collected with an optical fiber detection head.

[0043] The scanning conditions are: PbS detector, white ...

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
Diameteraaaaaaaaaa
Login to View More

Abstract

The invention discloses a method applied to rapid detection of certified traditional Chinese medicine xanthium sibiricum and counterfeit xanthium sibiricum doped with substance highly similar characters. The near infrared spectrum of a sample is collected to scan the spectrum of the sample, first derivation, vector normalization, filtering smoothing and other preprocessing are carried out on spectrogram data, principal component information representing the sample to the maximum degree is extracted, and a GBDT algorithm is used for constructing a prediction model for rapidly analyzing certified xanthium sibiricum, adulterated xanthium mongolicum and adulterated Xanthium inaequilatum. The detection method does not need to use a large number of reagents, is green and environment-friendly, simple and convenient to operate, good in reproducibility and stable and accurate in result, can realize rapid online detection and real-time evaluation feedback when the amount of a xanthium sibiricum sample is large, and is beneficial to rapid monitoring and evaluation of xanthium sibiricum quality in the whole process of xanthium sibiricum production, processing, circulation and consumption.

Description

technical field [0001] The invention relates to the technical field of rapid detection methods for traditional Chinese medicine products, in particular to a detection method for analyzing cocklebur adulteration by near-infrared spectroscopy and GBDT algorithm. Background technique [0002] As a common Chinese herbal medicine, cocklebur is the ripe and budded fruit of the dry aerial part of the plant cocklebur of Compositae. Warm in nature, has the effects of dispelling wind and cold, clearing the nose, and dispelling rheumatism. Its chemical composition types are sesquiterpenoids, phenolic acids, flavonoids, anthraquinones, etc., and play anti-tumor, antibacterial, anti-inflammatory, analgesic, hypoglycemic and other pharmacological effects. Cocklebur adulteration often uses Mongolian cocklebur, partial base cocklebur, thorn cocklebur, etc., which belong to the same genus as cocklebur and have a very similar appearance. In particular, the dried stems are taken, crushed into...

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): G01N21/359G01N21/3563G16C10/00G16C20/30G16C20/70G06K9/62G06N20/00
CPCG01N21/359G01N21/3563G16C10/00G16C20/30G16C20/70G06N20/00G01N2201/129G06F18/2135G06F18/24323G06F18/214
Inventor 宋菡叶俊陈世耿甘露菁何文猛谢思芸
Owner BEIJING INST OF TECH ZHUHAI CAMPUS
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