Evidence map›Paper›PMID 40842025›Full record

ArticleBMC chemistry2025

Selective six spectrophotometric methods for determination of remdesivir and moxifloxacin hydrochloride for COVID-19 treatment with overlapping spectra: a comprehensive evaluation of greenness, blueness, and whiteness.

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

Abstract read
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Article in BMC chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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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

4 authors.

Eman A MadboulyDepartment of Medicinal Chemistry, Faculty of Pharmacy, Zagazig University, Zagazig, Egypt. EAMadbouli@pharmacy.zu.edu.eg.
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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selective, and green spectrophotometric methods have been developed for the simultaneous analysis of remdesivir (RDV) and moxifloxacin hydrochloride (MFX), two active agents that are being used together in COVID-19 treatment. Because of the considerable spectral overlap, six mathematical spectrophotometric approaches were applied, including ratio derivative, ratio difference, mean centering of ratio spectra, area under the curve, Q-analysis, and bivariate calibration, to allow accurate interference-free determination without preliminary separation. The proposed methods were validated as per ICH guidelines, demonstrating excellent linearity over the concentration ranges of 1-15 µg/mL for RDV and 1-10 µg/mL for MFX, with correlation coefficients exceeding 0.999. They showed high sensitivity with LODs from 0.26 to 0.92 µg/mL and LOQs from 0.27 to 0.96 µg/mL for both drugs, enabling reliable trace analysis of the studied drugs in complex matrices. The methods also applied to dosage forms and spiked human plasma provided good recoveries with minimal matrix interference, demonstrating that the methods are robust and applicable. Eco-Scale, ComplexGAPI, and AGREE gave a high score on green profiles for environmental and practical sustainability. Further, the high whiteness and blueness scores indicated that the methods met the requirements of white analytical chemistry by RGB12 and BAGI tools. Thus, these methods offer a practical, eco-conscious solution for simultaneous determination of RDV and MFX in pharmaceutical and clinical settings, contributing to better therapeutic monitoring in COVID-19 management.

Indexed as

COVID-19Moxifloxacin hydrochlorideRemdesivirSpectrophotometry

Identifiers

PMID40842025
PMCPMC12372283

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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.