Figure 2

Quality characterization of Calculus Bovis using pattern recognition techniques and multiple element data (A) PCA score plot according to multiple element data. The number in parentheses matched to the number of samples in Table 1. Variables such as Na, Mg, Al, K, Ca, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Ge, As, Mo, Hg and Pb have been used as discriminating factors. Percentages in square brackets were contribution values. (B) Multivariate characterization by SIMCA. Symbols: Australian C. Bovis; (●); other countries (○); artificial samples (▲). Each point represented the mean values. (n = 3).