title: Multivariate characterisation of beers according to their mineral content.
abstract: In the present paper, a study on the characterisation of beer samples according to their mineral content has been carried out. Zn, P, B, Mn, Fe, Mg, Al, Sr, Ca, Ba, Na and K were determined by inductively coupled plasma atomic emission spectrometry (ICP-AES) in 32 beer samples. Lager, dark and low alcoholic content beers were considered. The analysed elements were considered as chemical descriptors in order to apply pattern recognition procedures, including display and supervised learning methods such as linear discriminant analysis and artificial neural networks.
authors.affiliation: Department of Analytical Chemistry, Faculty of Chemistry, University of Seville, 41012 Seville, Spain.
authors.forename: Angela
authors.initials: A
authors.lastname: Alcázar
authors.forename: Fernando
authors.initials: F
authors.lastname: Pablos
authors.forename: M A Jesús
authors.initials: MA
authors.lastname: Martín
authors.forename: A Gustavo
authors.initials: AG
authors.lastname: González