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Cortex albiziae recognition platform and cortex albiziae recognition method using same

A recognition platform and technology of Albizia Julibrissin, applied in character and pattern recognition, drugs or prescriptions, instruments, etc., can solve the problems of no multi-dimensional data conversion, no actual spectrum of compounds, and unclear adaptability of different sources, etc., to achieve The effect of applicability improvement

Pending Publication Date: 2020-06-02
DALIAN INST OF CHEM PHYSICS CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the same as the UNIFI TCM database, the data in this database is only based on the structural information data of the compounds, and there is no actual spectrum of the compounds; in addition, different instruments and different parameters have a great influence on the fragmentation behavior of the compounds, and the database has different sources (instruments, experimental conditions) etc.) is unclear about the suitability of
[0007] The above-mentioned chromatography-mass spectrometry databases are mainly composed of compounds, focusing on the characteristics of a single dimension in the data. Some databases have multi-dimensional data, but they have not converted multi-dimensional data into high-dimensional data for integrated use.

Method used

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  • Cortex albiziae recognition platform and cortex albiziae recognition method using same
  • Cortex albiziae recognition platform and cortex albiziae recognition method using same
  • Cortex albiziae recognition platform and cortex albiziae recognition method using same

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0115] Example 1 Establishment of Chinese Medicine Chromatography-Mass Spectrometry High Dimensional Image Database

[0116] 1. Preparation of known traditional Chinese medicine samples

[0117] The preparation methods of traditional Chinese medicine samples include but not limited to solvent extraction, including methods applicable to the preparation of all traditional Chinese medicine samples. The known Chinese medicine samples in the database of the present invention use 547 varieties of reference medicinal materials from China Food and Drug Research Institute (see Table 1). Take 100 mg of each kind of control medicinal material powder, add 0.5 ml of methanol with a volume concentration of 50% respectively, ultrasonically extract for 10 min, and centrifuge at 15,000 rpm for 10 min to get the supernatant, add 0.5 ml of methanol with a volume concentration of 50% to extract the supernatant for 10 min, and then add 0.5 ml of methanol with a volume concentration of 15,000 RPM ...

Embodiment 2

[0137] Embodiment 2: the rapid identification of the skin sample of Albizia juliensis

[0138] 1. Preparation of unknown samples

[0139] The preparation method of the unknown sample of the present invention is the same as the preparation method of the known traditional Chinese medicine sample. In this embodiment, 3 batches of Albizia juliensis skins from the market are used as unknown samples, named respectively as SS2-6520-007-0001 (SS2-LTQ-007-0001 is a different collection instrument for the same sample), SS2-6520-225004-03, SS2-6520-225142-03. Take 100mg of each unknown sample powder, add 0.5ml of methanol with a volume concentration of 50% respectively, ultrasonically extract for 10min, centrifuge at 15000 rpm for 10min to get the supernatant, add 0.5ml of methanol with a volume concentration of 50% for 10min, and extract the filter residue for 10min, 15000 RPM high-speed centrifugation for 10 min to take the supernatant. The two supernatant extracts were combined.

...

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Abstract

The invention discloses a cortex albiziae recognition platform and a method for recognizing cortex albiziae by applying the same. The platform comprises a known sample information database module, anunknown sample information database module, a known sample chromatography-mass spectrum image module, an unknown sample chromatography-mass spectrum image module and an unknown sample identification module. The generated chromatographic-mass spectrometric data image of the unknown sample is compared with the chromatographic-mass spectrometric data image of the known sample to determine whether thechromatographic-mass spectrometric data of the unknown sample matches the chromatographic-mass spectrometric data of the known sample so as to identify the unknown sample. According to the method, the traditional Chinese medicine chromatography-mass spectrometry high-dimensional image technology is applied, spatial information among a large number of compounds in the cortex albiziae sample can becomprehensively represented, matching and recognition of unknown samples are achieved through the spatial information, and the platform has the advantages of being rapid, high in flux, high in precision, high in reliability and the like.

Description

technical field [0001] The application relates to the technical field of detection of traditional Chinese medicines, in particular to an identification platform and an identification method for Albizia julienne bark. Background technique [0002] The compound composition of complex samples is of extreme complexity. Traditional Chinese medicine is a typical complex sample, which contains extremely complex components, diverse structures, and various types. Common types include phenols, alkaloids, saponins, terpenes, flavonoids, lactones, anthrone, and organic acids. And tannins, etc., a single Chinese medicine contains hundreds of secondary metabolites and small molecular components, and Chinese medicine compound preparations composed of multiple Chinese medicines have more ingredients. Correspondingly, complex samples contain massive amounts of information. Scientific issues such as the relationship between the compounds of traditional Chinese medicines, the differences in ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/34G16H20/10
CPCG16H20/10G06V10/267G06F18/22G06F18/232G06F18/241
Inventor 张晓哲赵楠程孟春
Owner DALIAN INST OF CHEM PHYSICS CHINESE ACAD OF SCI
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