Evidence map›Paper›PMID 42304036›Full record

ArticleScientific reports2026

Development and validation of HPLC-FLD method for simultaneous determination of ternary therapy used for COVID-19 in plasma samples.

Eman A Madbouly, Abdalla A El-Shanawani, Sobhy M El-Adl, Ahmed S Abdelkhalek

Abstract readValidation Study
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Eman A MadboulyDepartment of Medicinal Chemistry, Faculty of Pharmacy, Zagazig University, Zagazig, Egypt. dr.eman_ashraf@yahoo.com.
Abdalla A El-ShanawaniDepartment of Medicinal Chemistry, Faculty of Pharmacy, Zagazig University, Zagazig, Egypt.
Sobhy M El-AdlDepartment of Medicinal Chemistry, Faculty of Pharmacy, Zagazig University, Zagazig, Egypt.
Ahmed S AbdelkhalekDepartment of Medicinal Chemistry, Faculty of Pharmacy, Zagazig University, Zagazig, Egypt. ashilal@pharmacy.zu.edu.eg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel green sensitive micellar HPLC method with fluorescence detection is introduced for the analysis of remdesivir, levodropropizine, and moxifloxacin hydrochloride as ternary therapy for COVID-19 in human plasma samples using losartan as internal standard. The separation was carried out on Hypersil BDS C18 column using a mixed micellar mobile phase of sodium lauryl sulfate (SLS), Polyoxyethylene (23) lauryl ether (Brij-35) adjusted to pH 6. For enhanced specificity, a fluorescence detector was set to 246ex/403em for remdesivir, 296ex/504em for moxifloxacin hydrochloride , 252ex/342em for levodropropizine, and 252ex/316em for Losartan. The method showed a linear response within the concentration ranges of 80-2000 ng/mL for remdesivir and moxifloxacin hydrochloride and 160-4000 ng/mL for levodropropizine showing high accuracy and precision. The current study's significance lies in the development of a highly sensitive and selective analytical method for the simultaneous determination of three different drugs (remdesivir, moxifloxacin hydrochloride, and levodropropizine) in spiked human plasma, using an economical sample preparation strategy. Eco scale, GAPI and AGREE confirmed the greenness of the method which shows the least impact on the environment along with high score for eco-friendliness. This creates a new approach for routine quality control and pharmacokinetic research of remdesivir, levodropropizine and moxifloxacin hydrochloride.

Indexed as

Adenosine MonophosphateAlanineAntiviral AgentsCOVID-19 Drug TreatmentChromatography, High Pressure LiquidCOVID-19HumansMoxifloxacinReproducibility of ResultsSARS-CoV-2Spectrometry, FluorescenceAdenosine MonophosphateAlanineAntiviral AgentsMoxifloxacinremdesivirCovid-19Eco scaleFluorescence detectionGAPIGreen assessmentLevodropropizineMicellar HPLCMoxifloxacinRemdesivir

Identifiers

PMID42304036
PMCPMC13272654

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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.