Literature DB >> 29883791

Influence of lidocaine forms (salt vs. freebase) on properties of drug-eudragit® L100-55 extrudates prepared by reactive melt extrusion.

Xu Liu1, Xiangyu Ma1, Eucharist Kun1, Xiaodi Guo2, Zhongxue Yu2, Feng Zhang3.   

Abstract

This study examines the preparation of sustained-release lidocaine polyelectrolyte complex using reactive melt extrusion. Eudragit L100-55 was selected as the ionic polymer. The influence of drug forms (freebase vs. hydrochloride salt) on lidocaine-Eudragit L100-55 interactions, physical stability, and dissolution properties of extrudates was investigated. It was confirmed by DSC, FT-IR and Raman spectroscopy that polyelectrolyte could only form via the acid-base reaction between Eudragit L100-55 and lidocaine freebase. Due to this ionic interaction, the lidocaine extrudate was physically more stable than the lidocaine hydrochloride extrudate during the storage under stressed condition. Drug release from lidocaine extrudate was a function of drug solubility, polymer solubility, drug-polymer interaction, and drug-induced microenvironment pH. At 30% drug loading, extrudate exhibited sustained release in aqueous media at pH 1.2 and 4.5. Due to the alkaline microenvironment pH induced by dissolved lidocaine, Eudragit L100-55 was solubilized and sustained-release was not achieved in water and aqueous media at pH 5.5. In comparison, lidocaine hydrochloride induced an acidic microenvironment. Drug release of lidocaine hydrochloride extrudate was similar at pH 1.2, 4.5, 5.5 and water with drug being released over 10 h. The release of lidocaine hydrochloride from the extrudates in these media was primarily controlled by microenvironment pH. It is concluded that different forms of lidocaine resulted in different drug-polymer interactions and distinctive physicochemical properties of extrudates.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Controlled drug delivery system; Drug release mechanisms; Drug–polymer interaction; Polyelectrolyte–drug complex; Reactive melt extrusion; Solid dispersion

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Year:  2018        PMID: 29883791     DOI: 10.1016/j.ijpharm.2018.06.009

Source DB:  PubMed          Journal:  Int J Pharm        ISSN: 0378-5173            Impact factor:   5.875


  1 in total

1.  Predicting Drug Release Rate of Implantable Matrices and Better Understanding of the Underlying Mechanisms through Experimental Design and Artificial Neural Network-Based Modelling.

Authors:  Ernő Benkő; Ilija German Ilič; Katalin Kristó; Géza Regdon; Ildikó Csóka; Klára Pintye-Hódi; Stane Srčič; Tamás Sovány
Journal:  Pharmaceutics       Date:  2022-01-19       Impact factor: 6.321

  1 in total

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