Cumulative Drug Release Modelling of PCL-PVP Encapsulated Tramadol by DA-SVM, MLR, PLS, and OLS Regression Techniques
| Autor: | Chabane, Ahmed, Bouchal, Fatiha, Hentabli, Mohamed, Rezgui, Farouk, Slama, Houssam Eddine |
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| Rok vydání: | 2022 |
| Předmět: |
tramadol
modelling least squares Chemistry biopolymer General Chemical Engineering Dragonfly algoritam metoda potpornih vektora Tramadol kumulativno otpuštanje lijekova modeliranje biopolimeri metoda najmanjih kvadrata dragonfly algorithm support vector machine cumulative drug releases General Chemistry Dragonfly algorithm modelling biopolymer QD1-999 |
| Zdroj: | Kemija u Industriji, Vol 71, Iss 1-2, Pp 9-19 (2022) Kemija u industriji : Časopis kemičara i kemijskih inženjera Hrvatske Volume 71 Issue 1-2 |
| ISSN: | 1334-9090 0022-9830 |
| DOI: | 10.15255/kui.2021.008 |
| Popis: | 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. Cilj ovog rada bio je modeliranje kinetike kumulativnog otpuštanja lijeka iz formulacija inkapsuliranih biorazgradivim polikaprolaktonom i polivinilpirolidonom. Različiti omjeri polimera pripremljeni su isparavanjem otapala uz upotrebu Span 20 i Span 80 kao površinski aktivnih tvari. U modeliranju kinetike primijenjena su četiri pristupa: hibridni pristup kombiniranjem metode potpornih vektora i Dragonfly algoritma (DA-SVM), metoda parcijalnih najmanjih kvadrata (PLS), višestruka linearna regresija (MLR) te metoda najmanjih kvadrata (OLS). Provedena je usporedba kvalitete predviđanja kumulativnog otpuštanja lijeka, ovisno o primijenjenom polimeru i vremenu. Statistička analiza nije ukazala na probleme s odabranim ulaznim varijablama. Rezultati su pokazali superiornost predviđanja DA-SVM modelom uz koeficijent determinacije blizu jedinice te RMSE pogrešku blizu nule. Za izračun kumulativnog otpuštanja lijeka konstruirano je grafičko sučelje. Ovo djelo je dano na korištenje pod licencom Creative Commons Imenovanje 4.0 međunarodna. |
| Databáze: | OpenAIRE |
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