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)

  • 2022Chitosan Microparticles Loaded with New Non-Cytotoxic Isoniazid Derivatives for the Treatment of Tuberculosis: In Vitro and In Vivo Studies4citations
  • 2020Novel Hybrid Nanoparticles: Synthesis, Functionalization, Characterization, and Their Application in the Uptake of Scandium (III)Ions from Aqueous Media13citations
  • 2015Nanosized Spinel Ferrites Synthesized by Sol-Gel Autocombustion for Optimized Removal of Azo Dye from Aqueous Solution69citations

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Zamfir, Alexandra-Simona
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Dragostin, Ionut
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Dragostin, Oana-Maria
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Confederat, Luminita
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Dragan, Maria
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Chitescu, Carmen Lidia
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Zamfir, Carmen Lacramioara
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Iacob, Andreea-Teodora
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Tatia, Rodica
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Zsirka, Balázs
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Mohsen, Saja
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Abdullah, Thamer Adnan
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Domokos, Endre
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Nica, Valentin
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Sacarescu, Liviu
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Cojocaru, Corneliu
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Harabagiu, Valeria
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Samoila, Petrisor
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2020
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Co-Authors (by relevance)

  • Zamfir, Alexandra-Simona
  • Dragostin, Ionut
  • Dragostin, Oana-Maria
  • Confederat, Luminita
  • Dragan, Maria
  • Chitescu, Carmen Lidia
  • Zamfir, Carmen Lacramioara
  • Iacob, Andreea-Teodora
  • Tatia, Rodica
  • Zsirka, Balázs
  • Mohsen, Saja
  • Abdullah, Thamer Adnan
  • Juzsakova, Tatjána
  • Domokos, Endre
  • Le, Phuoc-Cuong
  • Dawood Salman, Ali
  • Cretescu, Igor
  • Nica, Valentin
  • Sacarescu, Liviu
  • Cojocaru, Corneliu
  • Harabagiu, Valeria
  • Samoila, Petrisor
OrganizationsLocationPeople

article

Nanosized Spinel Ferrites Synthesized by Sol-Gel Autocombustion for Optimized Removal of Azo Dye from Aqueous Solution

  • Nica, Valentin
  • Sacarescu, Liviu
  • Cojocaru, Corneliu
  • Harabagiu, Valeria
  • Samoila, Petrisor
  • Stan, Catalina Daniela
  • Cretescu, Igor
Abstract

<jats:p>Nanosized spinel ferrites MFe<jats:sub>2</jats:sub>O<jats:sub>4</jats:sub>(M = Ni, Co, and Zn) have been prepared by sol-gel autocombustion method using citric acid as a fuel agent. The materials are characterized by X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), and transmission electron microscopy (TEM). The spinel ferrites have been applied for Congo-Red (CR) dye adsorption using batch technique. Different kinetic and equilibrium models have been fitted by nonlinear regression to analyze the adsorption data. In accordance with Langmuir isotherm, the maximum adsorption capacity at 293 K is 14.06 mg/g for CoFe<jats:sub>2</jats:sub>O<jats:sub>4</jats:sub>and 17.13 mg/g for NiFe<jats:sub>2</jats:sub>O<jats:sub>4</jats:sub>. The values of mean free energy determined from Dubinin-Radushkevich isotherm are higher than 8 (kJ mol<jats:sup>−1</jats:sup>), indicating a chemisorption mechanism. Based on the calculated thermodynamic parameters (free energy, enthalpy, and entropy) the adsorption of CR onto ferrites is a spontaneous and endothermic process. Response surface methodology has been applied to construct the multiple regression models for prediction of the adsorption capacity and removal efficiency. The model-based optimization has been performed using genetic algorithms and desirability function approach. The single-objective optimization has yielded a maximum value of color removal efficiency of 98.995%, using NiFe<jats:sub>2</jats:sub>O<jats:sub>4</jats:sub>adsorbent. The multiobjective optimization has resulted in the improvement of both removal efficiency and adsorption capacity.</jats:p>

Topics
  • impedance spectroscopy
  • surface
  • x-ray diffraction
  • transmission electron microscopy
  • Fourier transform infrared spectroscopy