title: Sampling times influence the estimate of parameters in the Weibull dissolution model.
abstract: The aim is to determine how well the parameters of the Weibull model of dissolution can be estimated in dependency on the chosen times to measure the empirical data. The approach is based on the theory of Fisher information. We show that in order to obtain the best estimates the data should be collected at time instants when tablets actively dissolve or at their close proximity. This is in a sharp contrast with commonly used experimental protocols when sampling times are distributed rather uniformly.
authors.affiliation: Department of Mathematics and Statistics, Faculty of Science, Masaryk University, Kotlarska 2, 611 37 Brno, Czech Republic. Electronic address: xcupera@mail.muni.cz.
authors.forename: Jakub
authors.initials: J
authors.lastname: Cupera
authors.affiliation: Department of Mathematics and Statistics, Faculty of Science, Masaryk University, Kotlarska 2, 611 37 Brno, Czech Republic; Institute of Physiology, Academy of Sciences of the Czech Republic, Videnska 1083, 142 20 Prague 4, Czech Republic.
authors.forename: Petr
authors.initials: P
authors.lastname: Lansky
authors.affiliation: Charles University in Prague, Faculty of Pharmacy, Heyrovskeho 1203, 500 05 Hradec Kralove, Czech Republic.
authors.forename: Zdenka
authors.initials: Z
authors.lastname: Sklubalova
mesh_terms: D000179:Acrylates / Q000737:chemistry; D008353:Mannitol / Q000737:chemistry; D008962:Models, Theoretical; D020156:Salicylic Acid / Q000737:chemistry*; D012995:Solubility; D013997:Time Factors
chemical_list: D000179:Acrylates; C492578:carbopol 71G; D008353:Mannitol; D020156:Salicylic Acid
keywords: Dissolution; Fisher information; Optimal sampling times; Rate constant