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- Sustained release dosage forms dissolution behavior prediction: a study of matrix tablets using NIR spectroscopy.Int J Pharm. 2009; 382: 1-6
- Prediction of drug dissolution profiles from tablets using NIR diffuse reflectance spectroscopy: a rapid and nondestructive method.J Pharm Biomed Anal. 2005; 39: 17-21
- Prediction of dissolution profiles by non-destructive near infrared spectroscopy in tablets subjected to different levels of strain.J Pharm Biomed Anal. 2016; 117: 568-576
- A simple method to improve the dissolution of repaglinide and exploration of its mechanism.Asian J Pharm Sci. 2014; 9: 218-225
- Development and validation of a dissolution test with reversed-phase high performance liquid chromatographic analysis for Candesartan cilexetil in tablet dosage forms.Arab J Chem. 2016; 9: S867-S873
- Control systems engineering in continuous pharmaceutical manufacturing May 20–21, 2014 continuous manufacturing symposium.J Pharm Sci. 2015; 104: 832-839
- Spectrophotometric prediction of the dissolution rate of carbamazepine tablets.Pharm Res. 1991; 8: 974-978
- Prediction of drug dissolution from tablets using near-infrared diffuse reflectance spectroscopy as a nondestructive method.Pharm Dev Technol. 2005; 9: 247-263
- Determination of dissolution profiles in intact pharmaceutical tablets by NIR spectroscopy.J Process Anal Technol. 2006; 3: 25-28
- Effects of lubricant-mixing time on prolongation of dissolution time and its prediction by measuring near infrared spectra from tablets.Drug Dev Ind Pharm. 2012; 38: 412-419
- A review of disintegration mechanisms and measurement techniques.Pharm Res. 2017; 34: 890-917
- Effect of compression force, humidity and disintegrant concentration on the disintegration and dissolution of directly compressed furosemide tablets using croscarmellose sodium as disintegrant.Trop J Pharm Res. 2003; 2: 125-135
- Compression physics in the formulation development of tablets.Crit Rev Ther Drug Carrier Syst. 2006; 23: 1-65
- Prediction of dissolution profiles of acetaminophen beads using artificial neural networks.Pharm Dev Technol. 2006; 11: 337-349
- Comparison of neural network and multiple linear regression as dissolution predictors.Drug Dev Ind Pharm. 2003; 29: 349-355
- A new approach in the prediction of the dissolution behavior of suspended particles by means of their particle size distribution.J Pharm Biomed Anal. 2005; 39: 900-907
- The future of pharmaceutical manufacturing sciences.J Pharm Sci. 2015; 104: 3612-3638
- Q8 (R2) Pharmaceutical Development. In Harmonisation TICo, Editor.2009 (Anonymous Internation Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use)
This article contains supplementary material available from the authors by request or via the Internet at https://doi.org/10.1016/j.xphs.2019.01.023.