Literature DB >> 2362913

Isothermal and nonisothermal kinetics in the stability prediction of vitamin A preparations.

S Yoshioka1, Y Aso, Y Takeda.   

Abstract

A nonisothermal method was applied to shelf-life estimation of commercial vitamin A preparations. The usefulness and limitations of the nonisothermal method, as predicted by computer simulation, were validated. Degradation of vitamin A palmitate followed zero-order kinetics, and non-Arrhenius behavior was suggested for the rate constant. The nonisothermal method predicted a higher shelf-life value than the isothermal method for a syrup preparation, and vice versa, for an injection preparation. Analysis of the results suggested that the nonisothermal method provides better estimates of shelf lives than the isothermal method when drug degradation does not follow the Arrhenius equation near ambient conditions.

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Year:  1990        PMID: 2362913     DOI: 10.1023/a:1015875507458

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


  4 in total

1.  Statistical evaluation of nonisothermal prediction of drug stability.

Authors:  S Yoshioka; Y Aso; M Uchiyama
Journal:  J Pharm Sci       Date:  1987-10       Impact factor: 3.534

2.  Nonisothermal kinetics applied to drugs in pharmaceutical suspensions.

Authors:  J O Waltersson; P Lundgren
Journal:  Acta Pharm Suec       Date:  1983

3.  Nonisothermal kinetics using a microcomputer: a derivative approach to the prediction of the stability of penicillin formulations.

Authors:  J M Hempenstall; W J Irwin; A Li Wan Po; A H Andrews
Journal:  J Pharm Sci       Date:  1983-06       Impact factor: 3.534

4.  Nonisothermal kinetics applied to pharmaceuticals.

Authors:  J O Waltersson; P Lundgren
Journal:  Acta Pharm Suec       Date:  1982
  4 in total
  2 in total

1.  Nonisothermal stability assessment of stable pharmaceuticals: testing of a clindamycin phosphate formulation.

Authors:  J E Kipp; J J Hlavaty
Journal:  Pharm Res       Date:  1991-05       Impact factor: 4.200

2.  A bayesian approach to Arrhenius prediction of shelf-life.

Authors:  X Y Su; A Li Wan Po; S Yoshioka
Journal:  Pharm Res       Date:  1994-10       Impact factor: 4.200

  2 in total

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