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 (5/5 displayed)

  • 2024Development of an Optical Sensor Using a Molecularly Imprinted Polymer as a Selective Extracting Agent for the Direct Quantification of Tartrazine in Real Water Samples3citations
  • 2023Biomimetic Material for Quantification of Methotrexate Using Sensor Based on Molecularly Imprinted Polypyrrole Film and MWCNT/GCE12citations
  • 2023Synthesis and Characterization of Magnetic Molecularly Imprinted Polymer for the Monitoring of Amoxicillin in Real Samples Using the Chromatographic Method9citations
  • 2022Using Carbon Paste Electrode Modified with Ion Imprinted Polymer and MWCNT for Electrochemical Quantification of Methylmercury in Natural Water Samples7citations
  • 2018Electrochemical sensing using magnetic molecularly imprinted polymer particles previously captured by a magneto-sensor32citations

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Chart of shared publication
Vega-Chacón, Jaime
1 / 1 shared
Sotomayor, Maria
4 / 6 shared
Khan, Sabir
4 / 5 shared
Neres, Lariel Chagas Da Silva
1 / 1 shared
Wong, Ademar
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Jara Cornejo, Eduardo Josue
1 / 1 shared
Vega Chacon, Jaime
1 / 1 shared
Torres, Sergio Espinoza
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Mesa, Ruddy
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Gonçalves, Luís Moreira
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Pividori Gurgo, María Isabel
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Ruiz-Córdova, Gerson A.
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Sotomayor, Maria Del Pilar T.
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Co-Authors (by relevance)

  • Vega-Chacón, Jaime
  • Sotomayor, Maria
  • Khan, Sabir
  • Neres, Lariel Chagas Da Silva
  • Wong, Ademar
  • Jara Cornejo, Eduardo Josue
  • Vega Chacon, Jaime
  • Torres, Sergio Espinoza
  • Mesa, Ruddy
  • Gonçalves, Luís Moreira
  • Pividori Gurgo, María Isabel
  • Ruiz-Córdova, Gerson A.
  • Sotomayor, Maria Del Pilar T.
OrganizationsLocationPeople

article

Development of an Optical Sensor Using a Molecularly Imprinted Polymer as a Selective Extracting Agent for the Direct Quantification of Tartrazine in Real Water Samples

  • Vega-Chacón, Jaime
  • Picasso, Gino
  • Sotomayor, Maria
  • Khan, Sabir
Abstract

<jats:p>This study presents a new optical sensor for tartrazine (TAR) quantification developed using a molecularly imprinted polymer (MIP) as the recognition element, with optical fiber serving as the supporting substrate. The fiber surface was functionalized with 3-(trimethoxysilyl)propyl methacrylate (MPS), and the fiber was coated with MIP using the precipitation polymerization method. The analysis of MIP immobilization on the functionalized optical fiber (FF) was conducted through the use of scanning electron microscopy (SEM) and Fourier transform infrared spectroscopy (FTIR) techniques. Experimental parameters, such as contact time and fiber length, were adjusted in order to obtain the highest sensitive response signal for the functionalized optical fiber (FF-MIP). The fiber sensor, FF-MIP, exhibited a relatively higher response signal for tartrazine compared to other interfering dyes. The rapid and total desorption of the analyte from FF-MIP allowed the immediate reemployment of FF-MIP, which also presented an acceptable repeatability for the reflectance signal. The imprinting factors for the studied dyes were between 0.112 and 0.936 in front of TAR, 1.405, and selectivity factors were between 1.501 and 12.545, confirming the sensor selectivity. The FF-MIP sensor was successfully applied for tartrazine quantification in real water samples, where it yielded satisfactory results comparable to those of the HPLC reference method.</jats:p>

Topics
  • surface
  • polymer
  • scanning electron microscopy
  • precipitation
  • Fourier transform infrared spectroscopy
  • High-performance liquid chromatography