2019
DOI: 10.1002/jssc.201900531
|View full text |Cite
|
Sign up to set email alerts
|

Study on the spectrum‐effect relationship of the xanthine oxidase inhibitory activity of Ligustrum lucidum

Abstract: To evaluate the xanthine oxidase inhibitory activity of the chemical constituents of Ligustrum lucidum in vitro, the spectrum‐effect relationship was investigated. The high‐performance liquid chromatography fingerprint was established by ultraviolet spectrophotometry, and the xanthine oxidase inhibitory activity was tested in vitro by a high‐throughput screening method. Cluster analysis, principal component analysis, gray correlation analysis, and partial least squares regression were used to explore the spect… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
18
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 24 publications
(18 citation statements)
references
References 26 publications
0
18
0
Order By: Relevance
“…The relative areas of the 24 peaks ( P 1– P 24) were standardized before performing the GRA. The standardized data were selected as the subsequences, and the SIR levels were defined as the parent subsequence [ 16 ]. The resolution coefficient ( ξ ) was 0.5, after calculating the gray relational coefficients and grades for 24 peak areas.…”
Section: Methodsmentioning
confidence: 99%
“…The relative areas of the 24 peaks ( P 1– P 24) were standardized before performing the GRA. The standardized data were selected as the subsequences, and the SIR levels were defined as the parent subsequence [ 16 ]. The resolution coefficient ( ξ ) was 0.5, after calculating the gray relational coefficients and grades for 24 peak areas.…”
Section: Methodsmentioning
confidence: 99%
“…Gray relational analysis (GRA), expressing the strengths of relationships between factors, has been widely applied for TCM studies of spectrum-effect relationships. 24,25 Compared with other statistical methods, the gray correlation analysis, with lower requirements on sample data, possesses the advantages of requiring a small sample size and amount of computation, and has been applied widely. The principle of GRA is to utilize the degree of similarity between two series of curve geometries to determine a correlation based on assessing the inuence of factors on the index.…”
Section: Spectrum-effect Relationship Analysismentioning
confidence: 99%
“…Due to the characteristics of "multicomponent, multitarget, and comprehensive regulation" of TCM, it is not easy to find and accurately identify the main efficacy components [7]. Meanwhile, it is one-sided to take the content of individual components in Chinese medicine as the standard of quality control.…”
Section: Introductionmentioning
confidence: 99%