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)

  • 2021Water enabled self-healing polymeric coating with reduced graphene oxide-reinforcement for sensors6citations
  • 2021Water enabled self-healing polymeric coating with reduced graphene oxide-reinforcement for sensors6citations
  • 2020Microfluidic Mixer with Automated Electrode Switching for Sensing Applications21citations
  • 2020Monitoring the dispersion and agglomeration of silver nanoparticles in polymer thin films using Localized Surface Plasmons and Ferrell Plasmons6citations

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Chart of shared publication
Jimenez, Mawin J. M.
2 / 3 shared
Ly, Kally C. S.
2 / 2 shared
Pereira-Da-Silva, Marcelo A.
2 / 2 shared
Da Silva, Jose Alberto F.
2 / 2 shared
Pedroso De Almeida, T.
1 / 1 shared
Shimizu, Flavio M.
2 / 2 shared
Cucatti, Silvia
2 / 2 shared
Volpati, Diogo
2 / 2 shared
Almeida, Tiago P.
1 / 1 shared
Riul, Antonio
2 / 2 shared
Alvarez, Fernando
1 / 3 shared
Hensel, Rafael, C.
1 / 1 shared
Oliveira, Osvaldo, N.
1 / 1 shared
Moreira, Murilo
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Hillenkamp, Matthias
1 / 2 shared
Chart of publication period
2021
2020

Co-Authors (by relevance)

  • Jimenez, Mawin J. M.
  • Ly, Kally C. S.
  • Pereira-Da-Silva, Marcelo A.
  • Da Silva, Jose Alberto F.
  • Pedroso De Almeida, T.
  • Shimizu, Flavio M.
  • Cucatti, Silvia
  • Volpati, Diogo
  • Almeida, Tiago P.
  • Riul, Antonio
  • Alvarez, Fernando
  • Hensel, Rafael, C.
  • Oliveira, Osvaldo, N.
  • Moreira, Murilo
  • Hillenkamp, Matthias
OrganizationsLocationPeople

article

Microfluidic Mixer with Automated Electrode Switching for Sensing Applications

  • Rodrigues, Varlei
Abstract

<jats:p>An electronic tongue (e-tongue) is a multisensory system usually applied to complex liquid media that uses computational/statistical tools to group information generated by sensing units into recognition patterns, which allow the identification/distinction of samples. Different types of e-tongues have been previously reported, including microfluidic devices. In this context, the integration of passive mixers inside microchannels is of great interest for the study of suppression/enhancement of sensorial/chemical effects in the pharmaceutical, food, and beverage industries. In this study, we present developments using a stereolithography technique to fabricate microfluidic devices using 3D-printed molds for elastomers exploring the staggered herringbone passive mixer geometry. The fabricated devices (microchannels plus mixer) are then integrated into an e-tongue system composed of four sensing units assembled on a single printed circuit board (PCB). Gold-plated electrodes are designed as an integral part of the PCB electronic circuitry for a highly automated platform by enabling faster analysis and increasing the potential for future use in commercial applications. Following previous work, the e-tongue sensing units are built functionalizing gold electrodes with layer-by-layer (LbL) films. Our results show that the system is capable of (i) covering basic tastes below the human gustative perception and (ii) distinguishing different suppression effects coming from the mixture of both strong and weak electrolytes. This setup allows for triplicate measurements in 12 electrodes, which represents four complete sensing units, by automatically switching all electrodes without any physical interaction with the sensor. The result is a fast and reliable data acquisition system, which comprises a suitable solution for monitoring, sequential measurements, and database formation, being less susceptible to human errors.</jats:p>

Topics
  • impedance spectroscopy
  • laser emission spectroscopy
  • gold
  • elastomer