Characterization of balsamic vinegar by multivariate statistical analysis of trace element content

J AOAC Int. 1998 Sep-Oct;81(5):1087-95.

Abstract

To characterize vinegars according to the types prescribed by Italian regulations, 8 trace elements (Cr, Mn, Co, Ni, Cu, Zn, Cd, and Pb) were determined. The data collected were successively elaborated by 3 statistical techniques: linear principal component analysis (LPCA), linear discriminant analysis (LDA), and cluster analysis (CA). LDA and LPCA best classified and discriminated the 3 types of vinegar under study, separating traditional balsamic vinegars from the other 2 types, nontraditionally aged balsamic vinegars and common vinegars. The latter 2 types were appreciably distinguished only by LDA through bidimensional analysis of discriminant scores.

MeSH terms

  • Acetic Acid / analysis*
  • Cluster Analysis
  • Discriminant Analysis
  • Food Analysis
  • Multivariate Analysis
  • Trace Elements / analysis*

Substances

  • Trace Elements
  • Acetic Acid