Skoči na glavni sadržaj

Kemija u industriji : Časopis kemičara i kemijskih inženjera Hrvatske, Vol. 71 No. 1-2, 2022.

Izvorni znanstveni članak

https://doi.org/10.15255/KUI.2021.008

Cumulative Drug Release Modelling of PCL-PVP Encapsulated Tramadol by DA-SVM, MLR, PLS, and OLS Regression Techniques

Ahmed Chabane ; Laboratoire des Matériaux Organiques (LMO), Département de Génie des Procédés, Faculté de Technologie, Université de Bejaia, 06000 Bejaia, Algeria
Fatiha Bouchal ; Laboratoire des Matériaux Organiques (LMO), Département de Génie des Procédés, Faculté de Technologie, Université de Bejaia, 06000 Bejaia, Algeria
Mohamed Hentabli orcid id orcid.org/0000-0002-6693-0708 ; Laboratory of Biomaterials and Transport Phenomena (LBMPT), Faculty of Technology, University Yahia Fares of Médéa 26 000, Médéa, Algeria
Farouk Rezgui ; Laboratoire des Matériaux Organiques (LMO), Département de Génie des Procédés, Faculté de Technologie, Université de Bejaia, 06000 Bejaia, Algeria
Houssam Eddine Slama orcid id orcid.org/0000-0002-3052-883X ; Quality Control Laboratory, SAIDAL-Médéa 26 000, Médéa, Algeria

Puni tekst: engleski pdf 1.015 Kb

str. 9-19

preuzimanja: 743

citiraj

Sažetak

This work aimed to model the kinetics of cumulative drug release from formulations based on encapsulation by biodegradable polycaprolactone and polyvinylpyrrolidone polymers. Different ratios of the polymerswere prepared by a solvent evaporation method using Span 20 and Span 80 as surfactants. The cumulative drug release was estimated depending on the formulation component and time. Four models: hybrid model of support vector machine and dragonfly algorithm (DA-SVM), partial least squares (PLS) model, multiple linear regression (MLR) model, and ordinary least squared (OLS) model, were developed and compared. The statistical analysis proved there were no issues in variable inputs. The results showed that the DA-SVM model gave a better result where a determination coefficient was close to one and RMSE error close to zero. A graphical interface was built to calculate the cumulative drug release.




This work is licensed under a Creative Commons Attribution 4.0 International License.

Ključne riječi

Dragonfly algorithm; support vector machine; Tramadol; cumulative drug releases; modelling, biopolymer; least squares

Hrčak ID:

270988

URI

https://hrcak.srce.hr/270988

Datum izdavanja:

17.1.2022.

Podaci na drugim jezicima: hrvatski

Posjeta: 1.739 *