A sustainable and green HPLC-PDA technique for the simultaneous estimation of Post-COVID-19 syndrome co-administered drugs with greenness and whiteness assessment
Date
2024-10-01
Journal Title
Journal ISSN
Volume Title
Type
Article
Publisher
Nature Publishing Group
Series Info
Scientific Reports ; (2024) 14:26222
Scientific Journal Rankings
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.
Description
Keywords
Post-COVID syndrome, HPLC-DAD, Paracetamol, Dexketoprofen Trometamol and Rivaroxaban.
Citation
Medhat, P. M., Fouad, M. M., Monir, H. H., & Ghoniem, N. S. (2024). A sustainable and green HPLC-PDA technique for the simultaneous estimation of Post-COVID-19 syndrome co-administered drugs with greenness and whiteness assessment. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-75216-4