Evidence map›Paper›PMID 40567943›Full record

ArticleAdvances in pharmacological and pharmaceutical sciences2025

Smartphone-Assisted Thin-Layer Chromatography for Rapid Quality Screening of Metformin.

Ram Kumar Bhattarai, Sanam Pudasaini, Toni Barstis, Basant Giri

Abstract read
In one paragraph

Article in Advances in pharmacological and pharmaceutical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Ram Kumar BhattaraiCenter for Analytical Sciences, Kathmandu Institute of Applied Sciences, Kathmandu, Nepal.
Sanam PudasainiCenter for Analytical Sciences, Kathmandu Institute of Applied Sciences, Kathmandu, Nepal.ORCID https://orcid.org/0000-0001-9782-3369
Toni BarstisDepartment of Chemistry and Physics, Saint Mary's College, Notre Dame, Indiana, USA.ORCID https://orcid.org/0000-0002-3756-0357
Basant GiriCenter for Analytical Sciences, Kathmandu Institute of Applied Sciences, Kathmandu, Nepal.ORCID https://orcid.org/0000-0003-4798-3414

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type II diabetes remains a significant global public health issue, affecting both individual well-being and healthcare systems worldwide. Metformin hydrochloride is widely prescribed as the first-line treatment for managing diabetes. However, the increasing reports of substandard and falsified medicines, including metformin, circulating in the markets in recent years, highlights the urgent need for reliable and portable quality assurance tools. Thin-layer chromatography (TLC) has long been extensively used as a screening method to verify the identity and quality of various medicines. In this work, we present a smartphone-assisted TLC method for quantitative analysis of metformin hydrochloride. The TLC was performed using silica gel 60 F

Indexed as

diabeticdrug qualitylow-quality drugsmetforminsmartphone applicationTLC Analyzer

Identifiers

PMID40567943
PMCPMC12197440

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.