Geographical characterization of Spanish PDO paprika by multivariate analysis of multielemental content

• Published in: Talanta (Oxford) Vol. 128; pp. 15 - 22
• Main Authors: Palacios-Morillo, Ana, Jurado, José Marcos, Alcázar, Ángela, de Pablos, Fernando
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.10.2014
• Subjects: Artificial neural network; Boron - analysis; Capsicum - chemistry; Discriminant Analysis; Geography; Hydrogen Peroxide - chemistry; Inductively coupled plasma atomic emission spectrometry; Linear discriminant analysis; Metals - analysis; Multivariate Analysis; Nitric Acid - chemistry; Paprika; Pattern recognition; Perchlorates - chemistry; Phosphorus - analysis; Reproducibility of Results; Soft independent modeling of class analogy; Spain; Spectrophotometry, Atomic; Support Vector Machine; Support vector machines; Spain; Support vector machines; Paprika; Soft independent modeling of class analogy; Pattern recognition; Linear discriminant analysis; Artificial neural network; Inductively coupled plasma atomic emission spectrometry

A multielemental analytical method has been proposed to determine the contents of Al, B, Ca, Cu, Fe, K, Mg, Mn, Na, Ni, P, Pb, Sr and Zn in paprika samples from the two Protected Designations of Origin recognized in Spain, such as Murcia and La Vera (Extremadura). The samples are mineralized by acid...