title: Powder diffractometric assay of two polymorphic forms of ranitidine hydrochloride.
abstract: A simple X-ray powder diffractometric method was developed for the qualitative and quantitative assay of the two crystalline modifications of ranitidine-HCl. The main purpose of the present work was to investigate if artificial neural networks (ANNs) could be applied in quantitative X-ray diffractometric analyses. The ANN approach was compared with a conventional mixture design method. The results obtained by the ANN had a smaller standard deviation and relative error and a better precision at lower concentrations. ANNs provide a simple alternative to conventional statistical modelling methods to identify the non-linear relationship without complex equations.
authors.affiliation: School of Pharmacy, University of Otago, P.O. Box 913, Dunedin, New Zealand. nena.kustrin@stonebow.otago.ac.nz
authors.forename: S
authors.initials: S
authors.lastname: Agatonovic-Kustrin
authors.forename: V
authors.initials: V
authors.lastname: Wu
authors.forename: T
authors.initials: T
authors.lastname: Rades
authors.forename: D
authors.initials: D
authors.lastname: Saville
authors.forename: I G
authors.initials: IG
authors.lastname: Tucker
mesh_terms: D000897:Anti-Ulcer Agents / Q000737:chemistry*; D008956:Models, Chemical; D016571:Neural Networks, Computer; D011208:Powders / Q000737:chemistry; D011899:Ranitidine / Q000737:chemistry*; D012044:Regression Analysis; D014961:X-Ray Diffraction / Q000379:methods*
chemical_list: D000897:Anti-Ulcer Agents; D011208:Powders; D011899:Ranitidine