Evidence map›Paper›PMID 39482348›Full record

ArticleScientific reports2024

A sustainable and green HPLC-PDA technique for the simultaneous estimation of Post-COVID-19 syndrome co-administered drugs with greenness and whiteness assessment.

Passant M Medhat, Manal Mohamed Fouad, Hany H Monir, Nermine S Ghoniem

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Passant M MedhatAnalytical Chemistry Department, Faculty of Pharmacy, October University for Modern Sciences and Arts (MSA), 11787, 6th October City, Egypt.
Manal Mohamed FouadAnalytical Chemistry Department, Faculty of Pharmacy, October University for Modern Sciences and Arts (MSA), 11787, 6th October City, Egypt.
Hany H MonirPharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Cairo University, Kasr El-Aini Street, Cairo, ET-11562, Egypt.
Nermine S GhoniemPharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Cairo University, Kasr El-Aini Street, Cairo, ET-11562, Egypt. nermine.ghoniem@pharma.cu.edu.eg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 has been a growing global concern in the past four years. Several syndromes associated with this multi-organ viral infection have been observed since the outbreak. According to estimates, 10-15% of people with SARS-CoV- infection may have post-COVID-19 syndrome. Even months after infection, common residual signs and symptoms include myalgia, exhaustion, shortness of breath, rapid heartbeat, stroke, and memory and cognitive impairment which can negatively affect survivors' quality of life and may consequently lead to their death. Therefore, it is necessary to think about potential therapy options for dealing with both short and long-term impacts. Paracetamol (a common analgesic and antipyretic) and Dexketoprofen Trometamol (a non-steroidal anti-inflammatory drug) are used together to relieve post-COVID symptoms like myalgia (muscle pain) and headache. Additionally, to prevent thrombotic events, Rivaroxaban is recommended for 35 days following discharge. Thus an eco-friendly HPLC-DAD technique was developed for simultaneous quantification of Paracetamol, Dexketoprofen Trometamol, and Rivaroxaban which are co-administered for treatment of post-COVID-19 syndrome. The suggested method was found to be linear in the concentration ranges of 3.00-45.00 µg/mL, 0.5-50.00 µg/mL, and 0.15-20.00 µg/mL, and a limit of detection down to 0.531 µg/mL, 0.095 µg/mL and 0.047 µg/mL for Paracetamol, Dexketoprofen Trometamol and Rivaroxaban, respectively. This method was effectively used to quantify the studied drugs in their bulk powder and spiked human plasma with high percentage recoveries (96.55-99.46%). The suggested approach was validated per International Conference on Harmonization (ICH) requirements and found to be within the acceptable ranges. The method was developed using Green Analytical Chemistry (GAC) principles, with the solvents used and run time having a significant effect on the method's greenness. "Non-toxic" ethanol served as the organic modifier in the mobile phase, moreover, the total run time was 12 min making it suitable for the routine analysis of the mentioned drugs in plasma samples. To get a full image of the method's greenness profile; two most recent greenness assessment tools, the Green Analytical Procedure Index (GAPI), and the Analytical GREEnness metric (AGREE), were employed, with White Analytical Chemistry (WAC) principles proving its environmental safety.

Indexed as

AcetaminophenCOVID-19Anti-Inflammatory Agents, Non-SteroidalChromatography, High Pressure LiquidCOVID-19 Drug TreatmentGreen Chemistry TechnologyHumansKetoprofenPost-Acute COVID-19 SyndromeSARS-CoV-2AcetaminophenAnti-Inflammatory Agents, Non-SteroidalKetoprofen

Identifiers

PMID39482348
PMCPMC11528028

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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.