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Naoya Mizutani

Researcher at Osaka Prefecture University

Publications -  7
Citations -  212

Naoya Mizutani is an academic researcher from Osaka Prefecture University. The author has contributed to research in topics: Hydrothermal synthesis & Ferric. The author has an hindex of 6, co-authored 7 publications receiving 183 citations.

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Effect of ferrous/ferric ions molar ratio on reaction mechanism for hydrothermal synthesis of magnetite nanoparticles

TL;DR: The magnetite nanoparticles were prepared by hydrothermal synthesis under various initial ferrous/ferric molar ratios without adding any oxidizing and reducing agents in order to clarify effects of the molar ratio on the reaction mechanism for the formation of magnetite particles as discussed by the authors.
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Size control of magnetite nanoparticles in hydrothermal synthesis by coexistence of lactate and sulfate ions

TL;DR: In this paper, the size of magnetite nanoparticles was controlled by means of coexistence effects of anions in the starting solution of organic solvent-free hydrothermal synthesis via coprecipitation.
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Size control of magnetite nanoparticles by organic solvent-free chemical coprecipitation at room temperature

TL;DR: In this paper, a facile single-step coprecipitation method for preparing size-controlled high crystalline magnetite nanoparticles in water system without using any organic solvents is presented.
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Mechanochemical preparation of magnetite nanoparticles by coprecipitation

TL;DR: In this paper, a simple process for preparing magnetite (Fe 3 O 4 ) nanoparticles by a coprecipitation route without using any additives (e.g., surfactant and oxidizing and reducing agents) has been developed.
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Response Surface Methodology Study on Magnetite Nanoparticle Formation under Hydrothermal Conditions

TL;DR: In this paper, the influence of the experimental parameters (initial molar ratio of ferrous/ferric ions, initial concentration of the ferrous ions, and heating time) on particle formation was studied using response surface methodology (RSM), based on a statistical design of experiments (DOE).