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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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 (3/3 displayed)

  • 2024Microflow Injection System for Efficient Cu(II) Detection across a Broad Rangecitations
  • 2024Microflow Injection System for Efficient Cu(II) Detection across a Broad Rangecitations
  • 2024Microflow Injection System for Efficient Cu(II) Detection across a Broad Rangecitations

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Lao-Luque, Conxita
3 / 3 shared
Dorado, Antonio
1 / 1 shared
Baeza, Mireia
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Labat, Maria Del Mar Baeza
1 / 22 shared
Dorado, Antonio David
2 / 3 shared
Baeza Labat, Maria Del Mar
1 / 8 shared
Chart of publication period
2024

Co-Authors (by relevance)

  • Lao-Luque, Conxita
  • Dorado, Antonio
  • Baeza, Mireia
  • Labat, Maria Del Mar Baeza
  • Dorado, Antonio David
  • Baeza Labat, Maria Del Mar
OrganizationsLocationPeople

article

Microflow Injection System for Efficient Cu(II) Detection across a Broad Range

  • Lao-Luque, Conxita
  • Labat, Maria Del Mar Baeza
  • Dorado, Antonio David
  • Ricart, David
Abstract

<jats:p>In this study, a modular, multi-step, photometric microflow injection analysis (micro-FIA) system for the automatic determination of Cu(II) in a bioreactor was developed. The system incorporates diverse 3D-printed modules, including a platform formed by a mixer module to mix Cu(II) with hydroxylamine, which reduces Cu(II) to Cu(I) linked to a diluter module via a Tesla valve, a chelation mixer module, a disperser module, and a detector module provided by an LED light source at λ = 455 nm and a light dependence resistor (LDR) as a light intensity detector. The system measures the color intensity resulting from the chelation between Cu(I) and neocuproine. The micro-FIA system demonstrated good capability for automatic and continuous Cu(II) determination, in a wide range of Cu concentrations, from 34 to 2000 mg L−1. The device exhibits a good repeatability (coefficient of variation below 2% across the measured concentration range), good reproducibility, and has an accuracy of around 100% between 600 and 1900 mg L−1. Real samples were analyzed using both the micro-FIA system and an atomic absorption spectroscopy method, revealing no statistically significant differences. Additionally, a Tesla valve located before the detector substituted a 3-way solenoid valve, eliminating the need for moving parts.</jats:p>

Topics
  • spectroscopy