Literature DB >> 24585357

Chemometric methods for the quantification of crystalline tacrolimus in solid dispersion by powder X-ray diffractrometry.

Akhtar Siddiqui1, Ziyaur Rahman1, Srikant Bykadi1, Mansoor A Khan2.   

Abstract

The objective of this study was to develop powder X-ray diffraction (XRPD) chemometric model for quantifying crystalline tacrolimus from solid dispersion (SD). Three SDs (amorphous tacrolimus component) with varying drug to excipient ratios (24.4%, 6.7%, and 4.3% drug) were prepared. Placebo SDs were mixed with crystalline tacrolimus to make their composition equivalent to three SD (crystalline tacrolimus component). These two components were mixed to cover 0%-100% of crystalline drug. Uniformity of the sample mixtures was confirmed by near-infrared chemical imaging. XRPD showed three distinct peaks of crystalline drug at 8.5°, 10.3°, and 11.2° (2θ), which were nonoverlapping with the excipients. Principal component regressions (PCR) and partial least square (PLS) regression used in model development showed high R(2) (>0.99) for all the mixtures. Overall, the model showed low root mean square of standard error, standard error, and bias, which was smaller in PLS than PCR-based model. Furthermore, the model performance was evaluated on the formulations with known percentage of crystalline drug. Model-calculated crystalline drug percentage values were close to actual value. Therefore, these studies strongly suggest the application of chemometric-XRPD models as a quality control tool to quantitatively predict the crystalline drug in the formulation.
© 2014 Wiley Periodicals, Inc. and the American Pharmacists Association.

Entities:  

Keywords:  chemometric; multivariate analysis; partial least square; powder X-ray diffraction; principal component analysis; solid dispersion; tacrolimus

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Substances:

Year:  2014        PMID: 24585357     DOI: 10.1002/jps.23912

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  3 in total

1.  Comparison of Univariate and Multivariate Models of ¹³C SSNMR and XRPD Techniques for Quantification of Nimodipine Polymorphs.

Authors:  Ziyaur Rahman; Adil Mohammad; Akhtar Siddiqui; Mansoor A Khan
Journal:  AAPS PharmSciTech       Date:  2015-05-09       Impact factor: 3.246

2.  A Novel Rheological Method to Assess Drug-Polymer Interactions Regarding Miscibility and Crystallization of Drug in Amorphous Solid Dispersions for Oral Drug Delivery.

Authors:  Georgia Tsakiridou; Christos Reppas; Martin Kuentz; Lida Kalantzi
Journal:  Pharmaceutics       Date:  2019-11-22       Impact factor: 6.321

3.  Determination of the physical state of a drug in amorphous solid dispersions using artificial neural networks and ATR-FTIR spectroscopy.

Authors:  Afroditi Kapourani; Vasiliki Valkanioti; Konstantinos N Kontogiannopoulos; Panagiotis Barmpalexis
Journal:  Int J Pharm X       Date:  2020-12-08
  3 in total

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