Unprocessed rehmannia root identification platform and method for identifying unprocessed rehmannia root by using the same

A technology for identifying platforms and rehmannia glutinosa, applied in instruments, measuring devices, scientific instruments, etc., can solve the problems of no multi-dimensional data conversion, unclear adaptability of different sources, no actual spectrum of compounds, etc., to achieve improved applicability Effect

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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  • Unprocessed rehmannia root identification platform and method for identifying unprocessed rehmannia root by using the same
  • Unprocessed rehmannia root identification platform and method for identifying unprocessed rehmannia root by using the same
  • Unprocessed rehmannia root identification platform and method for identifying unprocessed rehmannia root by using the same

Examples

Experimental program
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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 add 0.5 ml of methanol with a volume concentration of 15,000 RPM high-...

Embodiment 2

[0137] Example 2: Rapid identification of Rehmannia glutinosa samples

[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, the decoction pieces of Rehmannia glutinosa from the market are used as the unknown sample, which is named SS2-6520-006-0007. Take 100 mg of each unknown sample powder, add 0.5 ml of methanol with a volume concentration of 50% respectively, ultrasonically extract for 10 minutes, and centrifuge at a high speed of 15,000 rpm for 10 minutes to take the supernatant, add 0.5 ml of methanol with a volume concentration of 50% for ultrasonic extraction for 10 minutes Minutes, 15000 rpm high-speed centrifugation for 10 minutes to take the supernatant. The two supernatant extracts were combined.

[0140] 2. Raw data acquisition and data processing of unknown sample chromatography-mass spec...

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Abstract

The application discloses an unprocessed rehmannia root identification platform and a method for identifying the unprocessed rehmannia root by using the same. The platform comprises a known sample information database module, an unknown 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. A generated chromatographic-mass spectrometric data image of an unknown sample is compared with a chromatographic-mass spectrometric data image of a known sample todetermine whether the chromatographic-mass spectrometric data of the unknown sample match 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 an unprocessed rehmannia root ame sample can be comprehensively represented, matching and recognition of unknown samples are achieved through the spatial information, and the method 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 traditional Chinese medicine detection, in particular to a rehmannia rehmannia recognition platform and a rehmannia rehmannia recognition method. 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 i...

Claims

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Application Information

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IPC IPC(8): G01N30/88G01N30/02G01N30/72
CPCG01N30/88G01N30/02G01N30/72G01N2030/8809
Inventor 张晓哲赵楠程孟春
Owner DALIAN INST OF CHEM PHYSICS CHINESE ACAD OF SCI
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