Literature DB >> 14999722

Rapid and accurate prediction of degradant formation rates in pharmaceutical formulations using high-performance liquid chromatography-mass spectrometry.

Richard T Darrington1, Jim Jiao.   

Abstract

Rapid and accurate stability prediction is essential to pharmaceutical formulation development. Commonly used stability prediction methods include monitoring parent drug loss at intended storage conditions or initial rate determination of degradants under accelerated conditions. Monitoring parent drug loss at the intended storage condition does not provide a rapid and accurate stability assessment because often <0.5% drug loss is all that can be observed in a realistic time frame, while the accelerated initial rate method in conjunction with extrapolation of rate constants using the Arrhenius or Eyring equations often introduces large errors in shelf-life prediction. In this study, the shelf life prediction of a model pharmaceutical preparation utilizing sensitive high-performance liquid chromatography-mass spectrometry (LC/MS) to directly quantitate degradant formation rates at the intended storage condition is proposed. This method was compared to traditional shelf life prediction approaches in terms of time required to predict shelf life and associated error in shelf life estimation. Results demonstrated that the proposed LC/MS method using initial rates analysis provided significantly improved confidence intervals for the predicted shelf life and required less overall time and effort to obtain the stability estimation compared to the other methods evaluated. Copyright 2004 Wiley-Liss, Inc. and the American Pharmacists Association.

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Year:  2004        PMID: 14999722     DOI: 10.1002/jps.20006

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


  2 in total

1.  Temperature Dependence of Rate Processes Beyond Arrhenius and Eyring: Activation and Transitivity.

Authors:  Valter H Carvalho-Silva; Nayara D Coutinho; Vincenzo Aquilanti
Journal:  Front Chem       Date:  2019-05-29       Impact factor: 5.221

2.  "Transitivity": A Code for Computing Kinetic and Related Parameters in Chemical Transformations and Transport Phenomena.

Authors:  Hugo G Machado; Flávio O Sanches-Neto; Nayara D Coutinho; Kleber C Mundim; Federico Palazzetti; Valter H Carvalho-Silva
Journal:  Molecules       Date:  2019-09-25       Impact factor: 4.411

  2 in total

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