Literature DB >> 29392513

Polymorphic and Covalent Transformations of Gabapentin in Binary Excipient Mixtures after Milling-Induced Stress.

Radaduen Tinmanee1, Stephen D Stamatis2, Eji Ueyama3, Kenneth R Morris4, Lee E Kirsch5.   

Abstract

PURPOSE: The purpose of the research described herein was to develop a kinetic model for quantifying the effects of conditional and compositional variations on non-covalent polymorphic and covalent chemical transformations of gabapentin.
METHODS: Kinetic models that describe the relationship between polymorphs and degradation product in a series of sequential or parallel steps were devised based on analysis of the resultant concentration time profiles. Model parameters were estimated using non-linear regression and Bayesian methods and evaluated in terms of their quantitative relationship to compositional and conditional variations.
RESULTS: The model was constructed in which co-milling gabapentin with excipients determined three physically-initial concentrations (II0*, II0 and III0) and one chemically-initial concentration (lactam0). For chemical transitions, no humidity effect was present but the catalytic effects of excipients on the conversion of II and III➔lactam were observed. For physical transition, excipient primarily influenced the physical state transition of III➔II through its ability to interact with humidity.
CONCLUSIONS: This model was shown to be robust to quantitatively account for the effects of temperature, humidity and excipient on rate constants associated with kinetics for each physical and chemical transition.

Entities:  

Keywords:  chemical stability; excipients; milling; physical stability; polymorphism

Mesh:

Substances:

Year:  2018        PMID: 29392513     DOI: 10.1007/s11095-017-2285-1

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  11 in total

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2.  Quantification of gabapentin polymorphs in gabapentin/excipient mixtures using solid state 13C NMR spectroscopy and X-ray powder diffraction.

Authors:  Radaduen Tinmanee; Sarah C Larsen; Kenneth R Morris; Lee E Kirsch
Journal:  J Pharm Biomed Anal       Date:  2017-08-05       Impact factor: 3.935

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Authors:  Zhixin Zong; Salil D Desai; Aditya M Kaushal; Dewey H Barich; Hong-Shian Huang; Eric J Munson; Raj Suryanarayanan; Lee E Kirsch
Journal:  AAPS PharmSciTech       Date:  2011-07-09       Impact factor: 3.246

4.  Solid-state transformation of different gabapentin polymorphs upon milling and co-milling.

Authors:  Shan-Yang Lin; Cheng-Hung Hsu; Wen-Ting Ke
Journal:  Int J Pharm       Date:  2010-06-16       Impact factor: 5.875

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Journal:  Int J Pharm       Date:  2002-10-24       Impact factor: 5.875

6.  Kinetic model for solid-state degradation of gabapentin.

Authors:  Zhixin Zong; Jiang Qiu; Radaduen Tinmanee; Lee E Kirsch
Journal:  J Pharm Sci       Date:  2012-03-14       Impact factor: 3.534

7.  Kinetic study of the Maillard reaction between metoclopramide hydrochloride and lactose.

Authors:  Zhihui Qiu; Joseph G Stowell; Kenneth R Morris; Stephen R Byrn; Rodolfo Pinal
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Journal:  Mol Pharm       Date:  2013-07-22       Impact factor: 4.939

9.  Polymorphs of gabapentin.

Authors:  Hayley A Reece; Demetrius C Levendis
Journal:  Acta Crystallogr C       Date:  2008-02-09       Impact factor: 1.172

10.  Investigating gabapentin polymorphism using solid-state NMR spectroscopy.

Authors:  Kassibla E Dempah; Dewey H Barich; Aditya M Kaushal; Zhixin Zong; Salil D Desai; Raj Suryanarayanan; Lee Kirsch; Eric J Munson
Journal:  AAPS PharmSciTech       Date:  2012-11-22       Impact factor: 3.246

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1.  Formulation and Manufacturing of Solid Dosage Forms.

Authors:  Qi Tony Zhou; Tonglei Li
Journal:  Pharm Res       Date:  2018-11-27       Impact factor: 4.200

  1 in total

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