Multivariate modeling of mineral water Karachi, Pakistan

Abstract

In last few decades the demand of mineral water has increased and is very important for human life due to shortage of pure and clean water. The mineral water is produced by various companies with different names and brand with approval of the relevant authorities. The present study was carried out for the preconcentration and determination of trace amount of metals (Cd, Cu, Pb, Fe, Mn, Ni, and Zn) from ten different brands of mineral water using solid phase extraction by flame and electro-thermal atomic absorption spectroscopy (FAAS/ETAAS). 1-(2-pyridylazo)- 2- naphthol (PAN) was used as a chelating agent. Principal component analysis (PCA) was applied on the data set of mineral water samples due to huge size of data. The chemical correlation was observed by PCA, and was used to classify the samples on the PCA scores. The accuracy of proposed method was checked by the analysis of certified reference materials (CRM) TMDA 53.3. This proposed method was also applied to real and CRM samples for determination of trace and toxic metal ions.

Keywords: Mineral water, Physicochemical Parameters, Heavy metals, Carbon Nanotubes, Solid Phase Extraction, Principal component analysis (PCA)