Literature DB >> 12357450

Accelerated stability model for predicting shelf-life.

Robert T Magari1, Kevin P Murphy, Tracey Fernandez.   

Abstract

Second- and higher-order degradation reactions sometimes cannot be approximated with linear or exponential relationships and need to be appropriately modeled. Events above the COULTER HmX Analyzer white blood cell (WBC) counting threshold were recorded for the HmX PAK reagent system stored at five elevated temperatures. An accelerated stability model for a second-degree polynomial degradation pattern was used. The shelf-life of the reagent, along with 95% lower bound confidence intervals, is predicted using the same pattern of degradation as well as the Arrhenius approximation. Experiments indicated that the degradation of the HmX PAK reagent occurred in two phases, the lag phase and the degradation phase, in all tested temperatures. The phase durations are temperature-dependent, and the Arrhenius approximation is appropriate (P=0.639). The degradation of the reagent during the lag phase was experimentally undetectable. Changes of the reagent were nonsignificant for a predicted period of 164 days at 25 degrees C. The rate of degradation increased significantly later on during the degradation phase. The lower bound of the 95% confidence interval of this prediction indicated that it would take at least 326 days before the HmX PAK reagent would have any performance issue related to aging at storage temperature. Copyright 2002 Wiley-Liss, Inc.

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Year:  2002        PMID: 12357450      PMCID: PMC6808176          DOI: 10.1002/jcla.10043

Source DB:  PubMed          Journal:  J Clin Lab Anal        ISSN: 0887-8013            Impact factor:   2.352


  4 in total

1.  Estimating degradation in real time and accelerated stability tests with random lot-to-lot variation: a simulation study.

Authors:  Robert T Magari
Journal:  J Pharm Sci       Date:  2002-03       Impact factor: 3.534

2.  Statistical evaluation of accelerated stability data obtained at a single temperature. I. Effect of experimental errors in evaluation of stability data obtained.

Authors:  S Yoshioka; Y Aso; Y Takeda
Journal:  Chem Pharm Bull (Tokyo)       Date:  1990-06       Impact factor: 1.645

3.  Design and analysis of accelerated degradation tests for the stability of biological standards I. Properties of maximum likelihood estimators.

Authors:  M S Tydeman; T B Kirkwood
Journal:  J Biol Stand       Date:  1984

4.  Statistical prediction of drug stability based on nonlinear parameter estimation.

Authors:  S Y King; M S Kung; H L Fung
Journal:  J Pharm Sci       Date:  1984-05       Impact factor: 3.534

  4 in total
  2 in total

1.  Analysis of IgG kinetic stability by differential scanning calorimetry, probe fluorescence and light scattering.

Authors:  Michal Nemergut; Gabriel Žoldák; Jonas V Schaefer; Florian Kast; Pavol Miškovský; Andreas Plückthun; Erik Sedlák
Journal:  Protein Sci       Date:  2017-09-06       Impact factor: 6.725

2.  Significance of unfolding thermodynamics for predicting aggregation kinetics: a case study on high concentration solutions of a multi-domain protein.

Authors:  Atul Saluja; Vikram Sadineni; Amol Mungikar; Vishal Nashine; Andrew Kroetsch; Charles Dahlheim; Venkatramana M Rao
Journal:  Pharm Res       Date:  2014-01-08       Impact factor: 4.200

  2 in total

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