<abstract xmlns="http://www.w3.org/1999/xhtml"><p>A novel mucoadhesive buccal tablet containing flurbiprofen (FLB) and lidocaine HCl (LID) was prepared to relieve dental pain. Tablet formulations (F1-F9) were prepared using variable quantities of mucoadhesive agents, hydroxypropyl methyl cellulose (HPMC) and sodium alginate (SA). The formulations were evaluated for their physicochemical properties, mucoadhesive strength and mucoadhesion time, swellability index and <italic>in vitro</italic> release of active agents. Release of both drugs depended on the relative ratio of HPMC:SA. However, mucoadhesive strength and mucoadhesion time were better in formulations, containing higher proportions of HPMC compared to SA. An artificial neural network (ANN) approach was applied to optimise formulations based on known effective parameters (<italic>i.e.,</italic> mucoadhesive strength, mucoadhesion time and drug release), which proved valuable. This study indicates that an effective buccal tablet formulation of flurbiprofen and lidocaine can be prepared <italic>via</italic> an optimized ANN approach.</p></abstract>

A novel mucoadhesive buccal tablet containing flurbiprofen (FLB) and lidocaine HCl (LID) was prepared to relieve dental pain. Tablet formulations (F1-F9) were prepared using variable quantities of mucoadhesive agents, hydroxypropyl methyl cellulose (HPMC) and sodium alginate (SA). The formulations were evaluated for their physicochemical properties, mucoadhesive strength and mucoadhesion time, swellability index and in vitro release of active agents. Release of both drugs depended on the relative ratio of HPMC:SA. However, mucoadhesive strength and mucoadhesion time were better in formulations, containing higher proportions of HPMC compared to SA. An artificial neural network (ANN) approach was applied to optimise formulations based on known effective parameters (i.e., mucoadhesive strength, mucoadhesion time and drug release), which proved valuable. This study indicates that an effective buccal tablet formulation of flurbiprofen and lidocaine can be prepared via an optimized ANN approach.

Development of an ANN optimized mucoadhesive buccal tablet containing flurbiprofen and lidocaine for dental pain

University College of Pharmacy, University of the Punjab, Lahore, Pakistan

Department of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan

Department of Pharmacy, Gomal University, Dera Ismail khan, Pakistan

Leicester School of Pharmacy, De Montfort University, Leicester, LE1 9BH, UK

Acta Pharmaceutica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

A novel mucoadhesive buccal tablet containing flurbiprofen (FLB) and lidocaine HCl (LID) was prepared to relieve dental pain. Tablet formulations (F1-F9) were...

Development of an ANN optimized mucoadhesive buccal tablet containing flurbiprofen and lidocaine for dental pain

Published Online: May 28, 2016

Page range: 245 - 256

Accepted: Dec 21, 2015

DOI: https://doi.org/10.1515/acph-2016-0020

Keywords
dental pain, mucoadhesion time, mucoadhesive strength, buccal tablet, artificial neural network

© 2016 Amjad Hussain et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Development of an ANN optimized mucoadhesive buccal tablet containing flurbiprofen and lidocaine for dental pain

Published Online: May 28, 2016

Page range: 245 - 256

Accepted: Dec 21, 2015

DOI: https://doi.org/10.1515/acph-2016-0020

Keywordsdental pain, mucoadhesion time, mucoadhesive strength, buccal tablet, artificial neural network

© 2016 Amjad Hussain et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
dental pain, mucoadhesion time, mucoadhesive strength, buccal tablet, artificial neural network