title: Maize authentication: quality control methods and multivariate analysis (chemometrics).
abstract: Maize is one of the most important cereals because of its numerous applications in processed foods where it is the major or minor component. Apart from maize authenticity issues related to cultivar and geographical origin (national and/or international level), there is another important issue related to genetically modified maize. Various objective parameters such as fatty acids, phenolic compounds, pigments, heavy metals were determined in conjunction with subjective (sensory analysis) in order to identify the maize authenticity. However, the implementation of multivariate analysis (principal component analysis, cluster analysis, discriminant analysis, canonical analysis) is of great importance toward reaching valid conclusions on authenticity issues. This review summarized the most important finding of both objective and subjective evaluations of maize in five comprehensive tables in conjunction with the discussion.
authors.affiliation: School of Agricultural Sciences, Department of Agriculture Animal Production and Aquatic Environment, University of Thessaly, Hellas, Greece. parmenion@uth.gr
authors.forename: Ioannis S
authors.initials: IS
authors.lastname: Arvanitoyannis
authors.forename: Antonios
authors.initials: A
authors.lastname: Vlachos
mesh_terms: D005502:Food / Q000592:standards*; D005506:Food Contamination / Q000032:analysis* / Q000517:prevention & control; D006801:Humans; D015999:Multivariate Analysis; D030821:Plants, Genetically Modified; D011786:Quality Control; D003313:Zea mays