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María del Rosario Martínez Martínez

Researcher at Polytechnic University of Catalonia

Publications -  81
Citations -  3493

María del Rosario Martínez Martínez is an academic researcher from Polytechnic University of Catalonia. The author has contributed to research in topics: Sorption & Aqueous solution. The author has an hindex of 22, co-authored 81 publications receiving 3241 citations. Previous affiliations of María del Rosario Martínez Martínez include ETSEIB & UPC Ireland.

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Arsenic sorption onto natural hematite, magnetite, and goethite.

TL;DR: The main trend observed in the variation of the arsenic sorbed with pH is the decrease of the sorption on the three sorbents at alkaline pH values, which agrees with results found in the literature.
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Sorption of Pb(II), Ni(II), Cu(II) and Cd(II) from aqueous solution by olive stone waste

TL;DR: In this paper, the effect of contact time, solution pH, ionic medium and initial metal concentration were studied in batch experiments at room temperature, and the results showed that olive stone waste, which has a very low economical value, may be used for the treatment of wastewaters contaminated with heavy metals.
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Removal of copper and nickel ions from aqueous solutions by grape stalks wastes

TL;DR: Sorption of copper and nickel on grape stalks released an equivalent amount of alkaline and alkaline earth metals (K+, Mg2+, Ca2+) and protons, indicating that ionic exchange is predominantly responsible for metal ion uptake.
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Removal of lead(II) and cadmium(II) from aqueous solutions using grape stalk waste.

TL;DR: From the results obtained it seems that other mechanisms, such as surface complexation and electrostatic interactions, must be involved in the metal sorption in addition to ion exchange.
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Sorption of selenium(IV) and selenium(VI) onto natural iron oxides: goethite and hematite.

TL;DR: This work study the interaction of Se(IV), and Se(VI) with natural iron oxides hematite and goethite through two series of batch experiments at room temperature using a triple layer surface complexation model and using the FITEQL program.