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Method for rapidly identifying traditional Chinese medicine formula particles employing Fourier transform infrared spectrum

A technology of traditional Chinese medicine formula granules and Fourier transform, which is applied in the direction of material analysis, measuring devices, instruments, etc. through optical means, and can solve the problem of infrared fingerprint characteristics, specificity reduction, different excipients, and weaken the identification ability of infrared fingerprint technology and other problems, to achieve good specificity, easy operation, and overcome the effect of easy moisture absorption

Inactive Publication Date: 2015-02-11
GUANGDONG YIFANG PHARMA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the production process of traditional Chinese medicine formula granules, a certain amount of auxiliary materials are generally added for granulation. The added auxiliary materials, such as starch, dextrin, lactose, etc., have strong infrared absorption, which interferes with the absorption peak of the infrared spectrum of the sample; different manufacturers, The origin of the medicinal materials used is different, the production equipment and process are different, and the excipients used are different; resulting in the reduction of the characteristic and specificity of its infrared fingerprint, which greatly weakens the identification ability of infrared fingerprint technology

Method used

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  • Method for rapidly identifying traditional Chinese medicine formula particles employing Fourier transform infrared spectrum
  • Method for rapidly identifying traditional Chinese medicine formula particles employing Fourier transform infrared spectrum
  • Method for rapidly identifying traditional Chinese medicine formula particles employing Fourier transform infrared spectrum

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0058] The infrared fingerprint of embodiment 1 Poria cocos skin formula granule

[0059] For 10 batches of Poria skin formula granule products (1308849, 403023T, 1308152, 1305715, 403264T, 311306L, 401092L, 1305032, 311306T, 403044T), the infrared spectrum was determined by the improved infrared fingerprint identification method of the present invention. Carrying out the spectrum comparison, the infrared fingerprint spectrum similarities of 10 batches of Poria cocos skin formula granule samples are all more than 0.9; See Figure 17 .

Embodiment 2

[0060] The infrared fingerprint spectrum of embodiment 2 Poria formula granules

[0061] 10 batches of Poria cocos formula granule products (1304177, 1304800, 11105408, 1110828, 1108439, 1205149, 1205903, 1210402, 311334T, 311767T) were used to measure their infrared spectra using the improved infrared fingerprint identification method of the present invention. Carry out spectrum comparison, the infrared fingerprint spectrum similarity of 10 batches of Poria cocos formula granule samples is all above 0.9; See Figure 18 .

Embodiment 3

[0062] Infrared Fingerprint of Example 3 Danfu Tablet Formula Granules

[0063] For 8 batches of Danfu Tablet formula granule products (1305746, 1303735, 1211834, 310170L, 403189L, 1305105, 1307238, 402200T), the infrared spectrum was determined by the improved infrared fingerprint identification method of the present invention. Comparison of the spectra shows that the similarities of the infrared fingerprints of the 8 batches of Danfu Tablet formula granule samples are all above 0.9; see Figure 19 .

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Abstract

The invention relates to a method for rapidly identifying traditional Chinese medicine formula particles employing a Fourier transform infrared spectrum, and belongs to the technical field of detection of traditional Chinese medicines. The method comprises the following steps: carrying out absolute ethyl alcohol extraction and ultrasonic extraction on traditional Chinese medicine formula particle samples, and filtering to obtain a sample solution; dropwise adding the sample solution to an agate mortar containing potassium bromide powder; stirring and drying at constant temperature, tabletting and preparing samples; measuring an infrared fingerprint by virtue of a Fourier transform infrared spectrometer; rapidly identifying the traditional Chinese medicine formula particles. According to the method, the defect of poor specificity under a conventional infrared tablet sample preparation method is overcome; rapid detection can be carried out; the result can be compared by virtue of a standard map or can be compared and identified by software similarity. The sample detected by an infrared fingerprint technology is an alcohol extraction concentrated liquor of formula particles; qualitative and semi-quantitative detection can be achieved; the method is easy, accurate, economical, good in repeatability, high in information content and high in spectral characteristics.

Description

technical field [0001] The invention relates to a method for quickly identifying traditional Chinese medicine formula granules, in particular to a method for quickly identifying traditional Chinese medicine formula grains by Fourier transform infrared spectroscopy, and belongs to the technical field of traditional Chinese medicine detection. Background technique [0002] With the emergence of the advantages of infrared spectroscopy and chromatographic fingerprints in solving the quality standards and inspections of traditional Chinese medicines, the field of quality control of traditional Chinese medicines has formed two modes in which infrared spectroscopy is used as qualitative and semi-quantitative analysis, and chromatographic fingerprints is used as quantitative analysis; Infrared spectroscopy has played an important role in various fields such as identification of Chinese herbal medicines, processing of Chinese herbal medicines, traditional Chinese medicine formula gran...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/3563
Inventor 谭登平朱德全刘丽萍杜兰哲李慧
Owner GUANGDONG YIFANG PHARMA
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