Evidence map›Paper›PMID 29333046›Full record

ArticlePharmacognosy research2017

Development and validation of High-performance Thin-layer Chromatography Method for Simultaneous Determination of Polyphenolic Compounds in Medicinal Plants.

C V Jayachandran Nair, Sayeed Ahamad, Washim Khan, Varisha Anjum, Rajani Mathur

Open access · hybridAbstract read
In one paragraph

Article in Pharmacognosy research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Bioactive Compounds from Guava Leaves (Molecules (Basel, Switzerland) · 2025
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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

5 authors at 2 institutions in 1 country.

C V Jayachandran NairDepartment of Pharmacology, Delhi Institute of Pharmaceutical Sciences and Research, New Delhi, India.
Sayeed AhamadDepartment of Pharmacognosy and Phytochemistry, Bioactive Natural Product Laboratory, Faculty of Pharmacy, Jamia Hamdard, New Delhi, India.
Washim KhanDepartment of Pharmacognosy and Phytochemistry, Bioactive Natural Product Laboratory, Faculty of Pharmacy, Jamia Hamdard, New Delhi, India.
Varisha AnjumDepartment of Pharmacognosy and Phytochemistry, Bioactive Natural Product Laboratory, Faculty of Pharmacy, Jamia Hamdard, New Delhi, India.
Rajani MathurDepartment of Pharmacology, Delhi Institute of Pharmaceutical Sciences and Research, New Delhi, India.
Jamia Hamdard · INDelhi Pharmaceutical Science and Research University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextQuantitative standardization of plant-based products is challenging albeit essential to maintain their quality.

aimsThis study aims to develop and validate high-performance thin-layer chromatography (HPTLC) method for the simultaneous determination of rutin (Ru), quercetin (Qu), and gallic acid (Ga) from MATERIALS AND

methodsThe stock solution (1 mg/mL) of standard Ru, Qu, and Ga in methanol: Water (1:1) was serially diluted and spotted (5 μL) on slica gel 60 F

resultsThe developed method was robust and resolved Ru, Qu, and Ga at R

conclusionThe developed HPTLC method was rapid, accurate, precise, reproducible, and specific for the simultaneous estimation of Ru, Qu, and Ga. SUMMARY: HPTLC method for simultaneous determination and quantification of Rutin, Quercetin and Gallic acid, is reported for quality control of herbal drugs.

Indexed as

Aegle marmelosgallic acidhigh-performance thin-layer chromatographyPsidium guajavaquercetinrutin

Identifiers

PMID29333046
PMCPMC5757330
OpenAlexW2772309603

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.