Fructus psoraleae medicinal material detection method based on quantitative analysis of multi-components by single marker
A detection method, the technology of psoraleae, applied in the direction of measuring device, material separation, analysis of materials, etc., to achieve the effects of high detection sensitivity, cost saving and good stability
Inactive Publication Date: 2017-11-24
ZHEJIANG UNIV
View PDF1 Cites 5 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
At present, in domestic and foreign researches, the content determination of psoralen and isopsoralen is directly carried out by external standard method, and the content determination of other components in psoralen such as flavonoids is also determined by the method of one test and multiple evaluation. There are no relevant reports on the one-test and multiple-evaluation method for benzofuranosides (psoralen, isopsoralen) in psoralen
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 moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0032] The method for detecting multiple components in psoralen of the present invention adopts a one-test-multiple-evaluation method and uses psoralen as an internal reference to determine psoralen, isopsoralen and isopsoralen in psoralen The content of new psoralen isoflavone, psoralen dihydroflavonoid methyl ether, psoralen A, psoralen B, corylifol A, bakuchiol, specifically includes the following steps:
[0033] (1) Preparation of reference solution:
[0034] Precisely weigh appropriate amounts of reference substances, dissolve them in methanol, prepare them into reference substance stock solutions of different concentrations, and then mix and dilute them in a certain proportion to obtain a series of mixed standard solutions, each containing psoralen 6.82-218.18μg / mL , Isopsoralen 7.02-224.78μg / mL, Psoralen 11.99-383.77μg / mL, Isopsoralen 12.91--413.23μg / mL, New Psoralen isoflavone 5.04-251.99μg / mL, Supplement Osteone 6.61-330.26μg / mL, Psoralen B 6.48-323.89μg / mL, Psoralen dihy...
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
| Property | Measurement | Unit |
|---|---|---|
| wavelength | aaaaa | aaaaa |
Login to View More
Abstract
The invention provides a fructus psoraleae medicinal material detection method based on quantitative analysis of multi-components by single marker. The fructus psoraleae medicinal material detection method comprises the following steps: firstly, establishing an HPLC (High Performance Liquid Chromatography) content determination method for 10 main medicinal components in fructus psoraleae; taking psoralen as an internal-standard reference object, calculating relative correction factors of the other 9 active components and considering system applicability and method repeatability of the relative correction factors; carrying out chromatographic peak positioning according to relative retention time; calculating the content of each component to be determined by combining using the relative correction factors and proving that results have no remarkable difference through mutual verification of the quantitative analysis of multi-components by single marker and an external-standard method. By adopting the method provided by the invention, the difficulties that a reference substance has low the defect of high cost and is not easy to obtain and the like are overcome; the content of index components is calculated through the relative correction factors and the chromatographic peak positioning and synchronous determination of various medicinal substances in the fructus psoraleae is realized; the cost can be saved and the operation can be simplified; the efficiency is improved, the detection sensitivity is high, the stability is good and a determination result is accurate and reliable; the fructus psoraleae medicinal material detection method provided by the invention has great significance of in controlling the quality of the fructus psoraleae and ensuring the clinical effect.
Description
Technical field [0001] The invention belongs to the field of traditional Chinese medicine analysis, and relates to a method for detecting Chinese medicine psoralen medicinal materials, and in particular to a method for detecting psoralen medicinal materials based on a one-test and multiple-evaluation method. Background technique [0002] The components of traditional Chinese medicine are complex and changeable, and its pharmacological activity and clinical efficacy are often the result of the joint action of multiple components. Taking the content of a single component or a certain type of component as an evaluation index usually cannot fully and fully reflect the quality of Chinese medicine. To control the quality of traditional Chinese medicine by measuring the content of multiple components, there are many problems such as the scarcity, instability, and high cost of reference materials, which also causes great difficulties in testing. If the content of a certain component is d...
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
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G01N30/06G01N30/74G01N30/86
CPCG01N30/06G01N30/74G01N30/8634
Inventor 栾连军沈晓宇刘雪松吴永江
Owner ZHEJIANG UNIV
PatSnap Eureka turns technology decisions into work you can execute. Powered by our Innovation Knowledge Graph, it runs expert workflows across engineering, life sciences, materials and intellectual property. Get your review-ready output in minutes.
