Evidence map›Paper›PMID 35811628›Full record

ArticleJournal of pharmaceutical analysis2022

A strategy of screening and binding analysis of bioactive components from traditional Chinese medicine based on surface plasmon resonance biosensor.

Diya Lv, Jin Xu, Minyu Qi, Dongyao Wang, Weiheng Xu, Lei Qiu, Yinghua Li, Yan Cao

Open access · goldAbstract read
In one paragraph

Article in Journal of pharmaceutical analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
6.8field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 48 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Diya LvCenter for Instrumental Analysis, School of Pharmacy, Second Military Medical University, Shanghai, 200433, China.
Jin XuDepartment of Neurology, Changzheng Hospital, Second Military Medical University, Shanghai, 200003, China.
Minyu QiDepartment of Biochemical Pharmacy, School of Pharmacy, Second Military Medical University, Shanghai, 200433, China.
Dongyao WangDepartment of Pharmaceutical Analysis, School of Pharmacy, Second Military Medical University, Shanghai, 200433, China.
Weiheng XuDepartment of Biochemical Pharmacy, School of Pharmacy, Second Military Medical University, Shanghai, 200433, China.
Lei QiuDepartment of Biochemical Pharmacy, School of Pharmacy, Second Military Medical University, Shanghai, 200433, China.
Yinghua LiInstitute of Translational Medicine, Shanghai University, Shanghai, 200444, China.
Yan CaoDepartment of Biochemical Pharmacy, School of Pharmacy, Second Military Medical University, Shanghai, 200433, China.
Second Military Medical University · CNShanghai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elucidating the active components of traditional Chinese medicine (TCM) is essential for understanding the mechanisms of TCM and promote its rational use as well as TCM-derived drug development. Recent studies have shown that surface plasmon resonance (SPR) technology is promising in this field. In the present study, we propose an SPR-based integrated strategy to screen and analyze the major active components of TCM. We used

Indexed as

Binding analysisBioactive componentsRadix Paeoniae AlbaScreeningSurface plasmon resonance

Identifiers

PMID35811628
PMCPMC9257445
OpenAlexW3217681058

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.