Artificial neural networks in the modeling and optimization of aspirin extended release tablets with Eudragit L 100 as matrix substance

AAPS PharmSciTech

Volumn 4, Issue 1, 2003, Pages

  Ibrić, Svetlana ^a   Jovanović, Milica ^a   Djurić, Zorica ^a   Parojčić, Jelena ^a   Petrović, Slobodan D ^b   Solomun, Ljiljana ^b   Stupar, Biljana ^b  

^a UNIVERSITY OF BELGRADE   (Serbia)

^b Hemofarm ad ^*

Author keywords

Artificial neural network; Aspirin; Controlled release; Eudragit L 100; Matrix tablets

Indexed keywords

ACETYLSALICYLIC ACID; AEROSIL; EUDRAGIT; MICROCRYSTALLINE CELLULOSE; TALC; METHYLMETHACRYLATE METHACRYLIC ACID COPOLYMER; METHYLMETHACRYLATE-METHACRYLIC ACID COPOLYMER; POLYMETHACRYLIC ACID DERIVATIVE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; CHEMICAL PARAMETERS; COMPUTER ANALYSIS; CONTROLLED RELEASE FORMULATION; CONTROLLED STUDY; DRUG RELEASE; DRUG SOLUBILITY; EXTENDED RELEASE FORMULATION; IN VITRO STUDY; PREDICTION; PRESSURE; PROCESS MODEL; PROCESS OPTIMIZATION; REGRESSION ANALYSIS; TABLET COMPRESSION; TABLET HARDNESS; TABLET MATRIX; CHEMISTRY; DELAYED RELEASE FORMULATION; DRUG DESIGN; TABLET;

ASPIRIN; DELAYED-ACTION PREPARATIONS; DRUG DESIGN; NEURAL NETWORKS (COMPUTER); POLYMETHACRYLIC ACIDS; TABLETS;

EID: 0141576818     PISSN: 15309932     EISSN: 15309932     Source Type: Journal    
DOI: 10.1208/pt040109     Document Type: Article

References (19)

1. Takayama K, Fujikawa M, Nagai T. Artificial neural networks as a novel method to optimize pharmaceutical formulations. Pharm Res. 1999;16(1):1-6.
2. Takahara J, Takayama K, Nagai T. Multi-objective simultaneous optimization technique based on an artificial neural network in sustained release formulations. J Control Release. 1997;49:11-20.
3. Kesavan JG, Peck GE. Pharmaceutical granulation and tablet formulation using neural networks. Pharm Dev Technol. 1996;1(4):391-404.
4. Wu T, Pan W, Chen J, Zhang R. Formulation optimization technique based on artificial neural network in salbutamol sulfate osmotic pump tablets. Drug Dev Ind Pharm. 2000;26(2):211-215.
5. Chen Y, McCall TW, Baichwal AR, Meyer MC. The application of an artificial neural network and pharmacokinetic simulations in the design of controlled-release dosage forms. J Control Release. 1999;59:33-41.
6. Bourquin J, Schmidli H, Hoogevest P, Leuenberger H. Application of artificial neural networks (ANN) in the development of solid dosage forms. Pharm Dev Technol. 1997;2(2):111-121.
7. Bourquin J, Schmidli H, Hoogevest P, Leuenberger H. Advantages of artificial neural networks (ANNs) as alternative modelling technique for data sets showing non-linear relationships using data from a galenical study on a solid dosage form. Eur J Pharm Sci. 1998;7:5-16.
8. Bourquin J, Schmidli H, Hoogevest P, Leuenberger H. Pitfalls of artificial neural networks (ANN) modelling technique for data sets containing outlier measurements using a study on mixture properties of a direct compressed dosage form. Eur J Pharm Sci. 1998;7:17-28.
9. Achanta AS, Kowalski JG, Rhodes CT. Artificial neural networks: implications for pharmaceutical sciences. Drug Dev Ind Pharm. 1995;21(1):119-155.
10. Takka S, Rajbhandari S, Sakr A. Effect of anionic polymers on the release of propranolol hydrochloride from matrix tablets. Eur J Pharm Sci. 2001;52:75-82.
11. Rekhi GS, Nellore RV, Hussain AS, Tillmean LG, Malinowski HJ, Ausburger LL. Identification of critical formulation and processing variables for metoprolol tartarate extended release tablets. J Control Release. 1999;59:327-342.
12. Jovanović M, Jovičić G, Durić Z, Agbaba D, Karljiković-Rajic K, Radovanović J, Nikolic L. Effect of fillers and lubricants on acetylsalicylic acid release kinetics from Eudragit matrix tablets. Drug Dev Ind Pharm. 1997;23:595-602.
13. Jovanović M, Jovičić G, Durić Z, Agbaba D, Karljiković-Rajic K, Nikolić L, Radovanović J. The influence of Eudragit type on the dissolution rate of acetylsalicylic acid from matrix tablets. Acta Pharm Hung. 1997;67:229-234.
14. Speckt DF. A generalized regression neural network. IEEE Trans Neural Networks. 1991;2(6):568-576.
15. Patterson D. Artificial Neural Networks. Singapore: Prentice Hall; 1996.
16. Bishop C. Neural Networks for Pattern Recognition. Oxford, England: Oxford University Press, 1995.
17. StatSoft, Inc. Manual of STATISTICA Neural Networks Software. Tulsa, OK: StatSoft, Inc; 1998.
18. Khuri I, Conlon M. Simultaneous optimization of multiple responses represented by polynomial regression functions. Technometrics. 1981;23:363-375.
19. FDA Guidance for Industry: Dissolution Testing of Immediate Release Solid Oral Dosage Forms. Rockville, MD: Center for Drug Evaluation and Research; 1997.