Yttrium iron garnet, Y3Fe5O12 (YIG) powders were synthesized by mechanochemical processing (mCP) from different iron sources (FeO, Fe2O3 and Fe3O4) mixed with Y2O3, followed by a heat treatment. The aim of this work i...
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Yttrium iron garnet, Y3Fe5O12 (YIG) powders were synthesized by mechanochemical processing (mCP) from different iron sources (FeO, Fe2O3 and Fe3O4) mixed with Y2O3, followed by a heat treatment. The aim of this work is to demonstrate that mCP followed by annealing at very low temperatures (as compared with the classic solid state reaction) can induce the formation of nanostructured YIG. The effect of iron source on final structure was also studied. X-ray diffraction (XRD) and scanning electron microscopy (SEm) were used to characterize the synthesized powders. The precursors mixed in a stoichiometric ratio to obtain YIG were milled at room temperature in a shaker mixer mill with a ball:powder weight ratio of 10:1. A partial synthesis of YIG was achieved after 9 h of milling time by using the three sources of iron;however, a significant fraction of the product was the perovskite YFeO3. The largest yield of YIG was obtained by using FeO. In all cases a single garnet phase could only be completely obtained after an annealing process at 900?C, around 400?C lower than the typical temperatures to prepare the material by solid state reaction. An analysis of the microstrain and lattice parameters associated with peak displacements is discussed.
<正> Liver spheroid formation is a process to culture single cells into three-dimensional spherical structures. There are several factors such as gyrotatory speed of the cell shaker, cell density, volume of medium e...
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<正> Liver spheroid formation is a process to culture single cells into three-dimensional spherical structures. There are several factors such as gyrotatory speed of the cell shaker, cell density, volume of medium etc that are key criteria in spheroid formation. Traditional approaches have been adopted to undertake experiments to determine optimal conditions for spheroid studies. If the process of spheroid formation can be fitted to a mathematical model, it will be helpful to improve spheroid culture by computerized simulation. This insight provides a strong indication of the necessity for modelling of the spheroid development behaviour, with systematic descriptions of the whole dynamic process. It is considered that this type of computational biology can offer a significant contribution to experimental design, prediction of culture progression, and so on. This is relevant to furthering our understanding of the dynamics of spheroid culture relevant to scale-up of production to meet demand for spheroids in applied research.
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