A Statistical Investigation of the Influence of Toxicity and Bioaccumulation of Heavy Metals Contained in the Various Organs of Eggplant Plant Water

Abstract

This study used the method of principal component analysis (PCA) to explore the characteristics and causes of variation in various types of oil mill wastewater (OMWW) from two soil types. In this approach, eigenvalues were used as indicators of change and explained by each principal component (PC). This principal component was selected on the basis of eigenvalue coefficients greater than 1. The weighting elements in the principal component reflect the contribution and importance of the starting characteristics. The greater the weighting factor, the greater the influence. The weighting factors were classified as “strong,” “medium,” and “weak,” with absolute weighting values > 0.75, 0.75-0.50, and 0.50-0.30, respectively, in line with the literature. Evaluation of OMWW and PCA analysis revealed that Cd and As parameters are more important during eggplant irrigation.