Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2015Improvement of the detection limit for biosensors: Advances on the optimization of biocomposite composition10citations
  • 2014Towards to the improvement of the analytical response in voltammetric sensors based on rigid composites14citations
  • 2009Novel amperometric sensor based on rigid near-percolation composite18citations
  • 2007Multicomponent titration of calcium + magnesium mixtures employing a potentiometric electronic-tongue5citations

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Céspedes, Francisco
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Martínez, Raquel Montes
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Labat, Maria Del Mar Baeza
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Olivé-Monllau, Rosa
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Del Valle, Manel
1 / 37 shared
Calvo, Daniel
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2015
2014
2009
2007

Co-Authors (by relevance)

  • Céspedes, Francisco
  • Martínez, Raquel Montes
  • Labat, Maria Del Mar Baeza
  • Olivé-Monllau, Rosa
  • Del Valle, Manel
  • Calvo, Daniel
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article

Multicomponent titration of calcium + magnesium mixtures employing a potentiometric electronic-tongue

  • Del Valle, Manel
  • Calvo, Daniel
  • Bartroli, Jordi
Abstract

A fast novel potentiometric titration procedure is proposed, in which the detection system is formed by a potentiometric electronic tongue. The titration consists in a reduced number of fixed titrant additions to the sample and the recording of the potentials of an array of Ion Selective Electrodes. The obtained data matrix is entered to an Artificial Neural Network response model, previously trained to furnish concentrations of a multicomponent mixture. The principle is demonstrated with automated EDTA titration of mixtures of Ca2+ and Mg2+ at fixed pH 8.5. In this case, five 2 ml fixed volume additions plus the readings of four sensors were adequate for the resolution of the mixture. In the conditions used, titration was feasible up to 3.3 mM total ion concentration, the precision was estimated as 3.20% RSD for Ca2+ and 2.76% RSD for Mg2+ (n=5), and the detection limits 0.16 mM Ca2+ and 0.26 mM Mg2+. The procedure was applied to mineral waters and compared with reference methods (correlation=0.92 for Ca2+ and correlation=0.89 for Mg2+, n=14). Copyright © Taylor & Francis Group, LLC.

Topics
  • impedance spectroscopy
  • mineral
  • Magnesium
  • Magnesium
  • Calcium
  • titration
  • liquid-liquid chromatography