Literature DB >> 19660535

Sustained release dosage forms dissolution behavior prediction: a study of matrix tablets using NIR spectroscopy.

Simin Hassannejad Tabasi1, Vikas Moolchandani, Raafat Fahmy, Stephen W Hoag.   

Abstract

The objective of this study was to predict dissolution behavior of sustained release theophylline matrix tablets using near infrared (NIR) diffuse reflectance spectroscopy and multivariate calibration models. Eudragit NE 30D was used as a granulation binder to prepare theophylline sustained release tablets. A total of 117 tablets from 5 batches containing different proportions of Eudragit NE 30D were scanned using a NIR spectrometer. The release characteristics of the tablets were investigated in the acetate buffer for 4 h. The percentage release at 1, 2, 3 and 4 h was used to build the PLS calibration models. The Mahalanobis distance in principal component space and the 2nd derivative transformation were used for sample selection prior to building a four 4-factor partial least square (PLS) calibration models for predicting 1, 2, 3 and 4 h release rates. For PLS(1h), the standard error of calibration (SEC), and standard error of prediction (SEP) were 2.8 and 3.4%. For PLS(2h), the SEC and SEP were 2.7 and 3.5%. For PLS(3h), the SEC and SEP were 2.6 and 3.5% and for PLS(4h), the SEC and SEP were 3.0 and 3.5%, respectively. For the first time, NIR spectroscopy was successfully applied to predict drug release in the matrix tablets by correlating dissolution profile of each batch to its corresponding Eudragit NE 30D variation in tablet composition.

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Year:  2009        PMID: 19660535     DOI: 10.1016/j.ijpharm.2009.07.029

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


  3 in total

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2.  Application of near-infrared hyperspectral imaging to discriminate different geographical origins of Chinese wolfberries.

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Review 3.  Pharmaceutical application of multivariate modelling techniques: a review on the manufacturing of tablets.

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  3 in total

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