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1.
Sci Rep ; 14(1): 17193, 2024 Jul 26.
Article in English | MEDLINE | ID: mdl-39060299

ABSTRACT

The presence of heavy metals and pollutant dyes can have detrimental effects on aquatic ecosystems and compromise aquatic aesthetics. This study investigates the use of unprocessed waste gem meerschaum powder as a new adsorbent in the removal of both Cu(II) and methylene blue (MB) from aqueous solutions to reduce water pollution. The structure of the waste powder was characterized by FT-IR, XRD, SEM and BET methods. Optimization of Cu(II) and MB dye removal was carried out using design of experiment technique. Under optimum conditions, remarkable removal efficiencies of 95.5% (± 3.7) for Cu(II) and 97.8% (± 0.4) for MB were achieved. The removal of Cu(II) followed the Freundlich isotherm model, while the removal of MB dye adhered to the Langmuir isotherm model. Both adsorption processes obeyed the pseudo-second-order kinetic model and occurred spontaneously. This innovative approach offers a promising solution to water pollution by highlighting the importance of sustainable and cost-effective waste use.

2.
Mar Pollut Bull ; 68(1-2): 134-9, 2013 Mar 15.
Article in English | MEDLINE | ID: mdl-23290611

ABSTRACT

The main objective of this study was to test water samples collected from 10 locations in the Dilovasi area (a town in the Kocaeli region of Turkey) for heavy metal contamination and to classify the heavy metal (Cr, Mn, Co, Ni, Cu, Zn, As, Cd, Pb and Hg) contents in water samples using chemometric methods. The heavy metals in the water samples were identified using inductively coupled plasma-mass spectrometry (ICP-MS). To ascertain the relationship among the water samples and their possible sources, the correlation analysis, principal component analysis (PCA), and cluster analysis (CA) were used as classification techniques. About 10 water samples were classified into five groups using PCA. A very similar grouping was obtained using CA.


Subject(s)
Metals, Heavy/analysis , Seawater/chemistry , Water Pollutants, Chemical/analysis , Water Pollution, Chemical/statistics & numerical data , Cluster Analysis , Environmental Monitoring , Principal Component Analysis , Turkey
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