An intelligent approach based on hybrid of principal component analysis-fuzzy inference system-adaptive neuro-fuzzy inference system for the simultaneous spectrophotometric determination of sofosbuvir and velpatasvir as antiviral drugs in pharmaceutical formulation and urine sample

Keyvan, Kiarash; Sohrabi, Mahmoud Reza; Motiee, Fereshteh

doi:10.1016/j.chemolab.2021.104473

Cited by 9 publications

(2 citation statements)

References 30 publications

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“…Additionally, Alibakhshi et al [27] applied the adaptive neuro-fuzzy inference system (ANFIS) to spectrophotometrically determine antipsychotic drugs in binary mixtures and biological fluids, reporting RMSE values ranging from 0.206 to 2.124. Keyvan et al [28] also utilized ANFIS for detecting sofosbuvir and velpatasvir, highlighting the significance of simple and cost-effective modelling approaches in pharmaceutical formulations and urine samples. In our study, we propose a straightforward methodology for fuzzy-hybrid modelling of swelling and drug release behaviors, demonstrated using the data from PVTAz hydrogels.…”

Section: Overall Statistical Error Analysismentioning

confidence: 99%

Unravelling poly(1-vinyl-1,2,4-triazole) hydrogels behaviors and enhancing 5-Fluorouracil delivery systems by utilizing a fuzzy modelling approach

Pekel Bayramgil,

Insel,

Gonce Kocken

et al. 2024

Phys. Scr.

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Accurately estimating swelling ratios and drug kinetic model parameters under controlled experimental conditions is crucial for identifying optimal production processes. Fuzzy modelling approaches are particularly valuable for the analysis of complex systems, such as drug delivery systems, owing to their capacity to effectively manage uncertainty and data complexity. This study focuses on introducing a fuzzy-hybrid methodology to model the swelling behavior of poly(1-vinyl-1,2,4-triazole) (PVTAz) hydrogels and the drug release profile of PVTAz hydrogels loaded with 5-Fluorouracil. The proposed fuzzy-hybrid approach was utilized in modeling swelling behavior of the PVTAz hydrogels as a fuzzy function of time, temperature, pH, and the drug release behavior as a fuzzy function of time only. All the obtained models were illustrated with respect to the experimental data, showing their effectiveness and applicability. The performance metrics ARE, RMSE, and R2 were evaluated for the central tendency of each model to statistically prove the models’ validity. This research contributes significantly to advancing our understanding of hydrogel behaviors in drug delivery systems, showcasing the interdisciplinary synergy that enhances research outcomes.

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Section: Overall Statistical Error Analysismentioning

confidence: 99%

Unravelling poly(1-vinyl-1,2,4-triazole) hydrogels behaviors and enhancing 5-Fluorouracil delivery systems by utilizing a fuzzy modelling approach

Pekel Bayramgil,

Insel,

Gonce Kocken

et al. 2024

Phys. Scr.

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“…Different analytical techniques have been documented for the quantitative determination of VLP in the literature like: voltammetric methods, 36,37 spectrophotometric methods, [38][39][40][41][42][43][44][45] spectrofluorimetric methods, 46,47 capillary electrophoresis. 45 Moreover, different chromatographic methods were reported in literature like high performance thin layer chromatography (HPTLC), 48,49 high performance liquid z E-mail: amr.bekhet@pharma.cu.edu.eg chromatography with UV detection (HPLC-UV), [50][51][52][53] HPLC with fluorescence detection, 54 HPLC-MS/MS, 55 ultra-performance liquid chromatography with ultraviolet detection (UPLC-UV), 44 UPLC with fluorescence detection, 56 UPLC with mass spectrometric detection (UPLC-MS/MS).…”

mentioning

confidence: 99%

Electrochemical Sensor Modified with Graphene Oxide Decorated with Copper Oxide Nanoparticles for Velpatasvir’s Monitoring in Spiked Human Plasma

Hesham,

Mahmoud,

Hegazy

et al. 2024

J. Electrochem. Soc.

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Velpatasvir, an antiviral agent co-formulated with sofosbuvir used to treat hepatitis C, has recently demonstrated beneficial therapeutic effects against COVID-19. Therefore, therapeutic drug monitoring of velpatasvir is essential to achieve the desired clinical outcomes. An electrochemical sensor modified with synthesized copper oxide nanoparticles on the surface of graphene oxide (CuO/GO-NPs) was fabricated for the analysis of velpatasvir for the first time. Characterization was carried out using Fourier-transform infrared spectroscopy, X-ray diffraction, and scanning electron microscopy with energy-dispersive X-ray spectroscopy. The voltammetric determinations were conducted using differential pulse and cyclic voltammetry, where the modified electrode exhibited better sensitivity than the unmodified one. The method was validated according to the International Council for Harmonisation (ICH) guidelines, exhibiting linearity within a range of 1.0 ×10-7 – 1.0 × 10-5 M, covering velpatasvir’s maximum plasma concentration (Cmax), with a quantification limit of 2.89 × 10-7 M and a detection limit of 9.03 × 10-8 M. The developed sensor was successfully applied to spiked human plasma at velpatasvir’s Cmax level. The method’s greenness was assessed using the Analytical Eco-scale and the Green analytical procedure index tools. This method holds promise as a green simple approach to implemented in future velpatasvir’s therapeutic drug monitoring studies.

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A simple and rapid spectrophotometric method coupled with intelligent approaches for the simultaneous determination of antiepileptic drugs in pharmaceutical formulations, biological, serological, and breast milk samples

Noroozi

Sohrabi²,

Davallo³

2022

Chemometrics and Intelligent Laboratory Systems

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An intelligent approach based on hybrid of principal component analysis-fuzzy inference system-adaptive neuro-fuzzy inference system for the simultaneous spectrophotometric determination of sofosbuvir and velpatasvir as antiviral drugs in pharmaceutical formulation and urine sample

Cited by 9 publications

References 30 publications

Unravelling poly(1-vinyl-1,2,4-triazole) hydrogels behaviors and enhancing 5-Fluorouracil delivery systems by utilizing a fuzzy modelling approach

Unravelling poly(1-vinyl-1,2,4-triazole) hydrogels behaviors and enhancing 5-Fluorouracil delivery systems by utilizing a fuzzy modelling approach

Electrochemical Sensor Modified with Graphene Oxide Decorated with Copper Oxide Nanoparticles for Velpatasvir’s Monitoring in Spiked Human Plasma

A simple and rapid spectrophotometric method coupled with intelligent approaches for the simultaneous determination of antiepileptic drugs in pharmaceutical formulations, biological, serological, and breast milk samples

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