A recent study out of the Tabriz University of Medical Science in Tabriz, Iran and the University of Birjand in South Khorasan, Iran tested a new system for detecting and extracting favipiravir from plasma samples. Their findings were published in the Journal of Pharmaceutical and Biomedical Analysis (1).
Favipiravir, which is sold under the brand name Avigan, is an antiviral drug that is used to treat influenza. The medication is also being investigated as a treatment for COVID-19. Favipiravir inhibits viral replication by arresting RNA polymerase. The pharmacokinetic complexities of the drug and its results need further study for scientists to properly understand the correct dosages for patients. This has led to the determination of biological samples, like urine and plasma, being used to prescribe the correct dosage of favipiravir.
Various methods have been used to determine different analytes in real samples, such as high-performance liquid chromatography (HPLC) equipped with tandem mass spectrometry (MS/MS) detector (HPLC-MS/MS), HPLC-ultraviolet detector, and electrochemical sensors. However, these methods cannot be used directly for drug analysis, since the sample matrix is complex and low concentrations of drugs are used. As such, a suitable sample preparation method is needed to remove impurities and disturbing factors, in addition to aiding with analyte preconcentration. Ideal extraction methods should be fast, simple, repeatable, and inexpensive, and they should use low volumes of less toxic organic solvents. For this study, the scientists decided to focus on dispersive solid phase extraction (DSPE), which is based on dispersing a solid sorbent into a liquid sample to extract and clean-up different analytes from complex matrices.
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The scientists decided to focus on using yolk-shell nanostructures, which are advanced core-shell structures with an empty space between their core and their shell. These nanostructures are notable for their tunable physical and chemical properties, as well as their structural configuration. For the experiment, the scientists prepared a mesoporous silica yolk-shell adsorbent in the dispersive solid phase extraction (DSPE) of the analyte from plasma. This was used for sample preparation before HPLC-MS/MS analysis, before being optimized, validated, and then being used to extract favipiravir from plasma samples.
The synthesized sorbent presented a high adsorption capacity for favipiravir, which can be credited to its mesoporous structure and different interactions. Once effective paraments, such as the amount of sorbent and pH that were used and the adsorption and desorption times, were established, the method’s analytical parameters were evaluated. The method showed a wide linear range from 0.50 to 1000 µg/L, with the detection and quantification limits being 0.15 and 0.50 µg/L, respectively. The method’s relative standard deviation was obtained using intra- and inter-day tests, with both results being less than 6.0%. Finally, the method successfully measured for favipiravir in plasma with relative recoveries in the range of 87–105%. These findings may hint at the future of favipiravir in fighting COVID-19 and other diseases. However, further research is needed before this can be fully confirmed and applied in practical ways.
(1) Nosratzehin, F.; Mofathenia, P.; Gharagozlou, M. et al. Extraction of Covid-19 Drug (Favipiravir) from Plasma Samples by Yolk-Shell Mesoporous Silica Before HPLC-MS/MS Determination. J. Pharm. Biomed. Anal. 2024, 239, 115874. DOI: https://doi.org/10.1016/j.jpba.2023.115874
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