Evidence map›Paper›PMID 36120169›Full record

ArticleChinese herbal medicines2020

Quantitative determination of multi-class bioactive constituents for quality assessment of ten

Yan-Bin Wu, Meng-Chao Peng, Chao Zhang, Jian-Guo Wu, Bing-Zhu Ye, Jun Yi, Jin-Zhong Wu, Cheng-Jian Zheng

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Chinese herbal medicines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Untargeted Metabolite Profiling of Wild andTropical life sciences research · 2024
    Article
  5. Untargeted metabolomics inFrontiers in plant science · 2024
    Article
  6. Article
  7. The Toxicological Assessment ofNanomaterials (Basel, Switzerland) · 2023
    Article
  8. Article
  9. Review
  10. PhytoKeys · 2023
    Article
  11. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Yan-Bin WuSchool of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China.
Meng-Chao PengSchool of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China.
Chao ZhangSchool of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China.
Jian-Guo WuSchool of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China.
Bing-Zhu YeDepartment of Pharmacognosy, School of Pharmacy, Naval Medical University, Shanghai 200433, China.
Jun YiDepartment of Science, Fujian Institute of Education, Fuzhou 350001, China.
Jin-Zhong WuSchool of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China.
Cheng-Jian ZhengDepartment of Pharmacognosy, School of Pharmacy, Naval Medical University, Shanghai 200433, China.
Fujian University of Traditional Chinese Medicine · CNSecond Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To establish multi-class bioactive constituents' determination of ten Methods: HPLC-ELSD and phenol-sulphuric acid methods were used for the quantitative determination of lactone glycosides (kinsenoside and its diastereoisomer, goodyeroside A) and polysaccharides, respectively, while an efficient iHPLC-MS/MS method was established for rapid determination of other minor constituents in ten Results: The contents of kinsenoside, goodyeroside A, polysaccharides and flavonoids varied notably almost in all tested samples, including both wild plants and tissue cultures. In particular, kinsenoside was the major lactone glycoside in Conclusion: Our present study suggested that

Indexed as

Anoectochilus speciegoodyeroside Akinsenosidequality evaluationquantitative analysis

Identifiers

PMID36120169
PMCPMC9476377
OpenAlexW3083436226

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.