2007
DOI: 10.1007/s11095-006-9201-4
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Improved Protocol and Data Analysis for Accelerated Shelf-Life Estimation of Solid Dosage Forms

Abstract: The new protocols and analyses provide accurate and precise shelf-life estimations in a reduced time from current state of the art.

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Cited by 107 publications
(73 citation statements)
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“…The use of accelerated stability studies is a wellestablished technique that has been widely used for more than 60 years to predict the shelf life and storage conditions of drugs and drug products (Baertschi 2007;Huynh-Ba 2008;Karstensen 1990;Waterman & Carella 2007). Whereas the experimental approaches may vary between studies, the general principles are the same and are based on the extrapolation of the rate of degradation at two or more temperatures above the intended condition, using the Arrhenius Relationship (Eq.…”
Section: Introductionmentioning
confidence: 99%
“…The use of accelerated stability studies is a wellestablished technique that has been widely used for more than 60 years to predict the shelf life and storage conditions of drugs and drug products (Baertschi 2007;Huynh-Ba 2008;Karstensen 1990;Waterman & Carella 2007). Whereas the experimental approaches may vary between studies, the general principles are the same and are based on the extrapolation of the rate of degradation at two or more temperatures above the intended condition, using the Arrhenius Relationship (Eq.…”
Section: Introductionmentioning
confidence: 99%
“…However, when physical changes occur, the reaction rates typically do not follow Arrhenius model, then a model can be designed to predict stability profile throughout the expiration dating period. With such model, predictive stability studies can support the selection of packages and/or formulations, to justify excursions and provide insight on in-use stability (Genton & Kesselring 1977;Waterman et al 2007). In addition, these data could also be used to justify the retest period for clinical trial material and to justify lean post-approval protocols.…”
Section: Topic C: Challenges and Best Practices For Successful Predicmentioning
confidence: 99%
“…From the ASAP stability data, one Maillard degradation product was identified as being most likely to breach the impurity specification limits of 0.3% w/w within 2 years. The data relating to this impurity were separated out from that for the summed monosaccharides and fed into a humidity corrected Arrhenius equation (32) in order to calculate in use periods for the three capsule blends using the API engineered from various particle engineering technologies. Table V shows the predicted shelf life of the capsule blends incorporating the three types of API particles.…”
Section: Drug Product (Formulation) Stabilitymentioning
confidence: 99%