Non-stationarynon-stationarynon-stationary mass transfer in gel systems with graphene oxide as applied to 3d-bioprinting technologies

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The pattern of diffusion front propagation in pure agarose hydrogels as well as with the addition of graphene oxide was compared by the methods of moving boundaries and optical sensing, and the mass-transfer properties of the gel systems were measured. It was found that graphene oxide has high surface activity, becomes part of the mesh structure of the gel, increasing its porosity and thus affecting the diffusion rate and efficiency. In addition, graphene oxide contributes to the ordering of the gel structure or reduces light scattering within the gel. The combination of hydrogels with graphene oxide enables the creation of systems with controllable optical properties, which in turn opens up new opportunities for improving 3D-bioprinting technologies. Based on the random walk method, a numerical model is proposed that is well suited to describe the structures of hydrogels with graphene oxide. This model will help to determine the quality of materials in 3D-bioprinting technologies in terms of nutrient delivery efficiency for living microorganisms located inside the gel. The comparison of experimental data and numerical modeling demonstrated a good agreement between them.

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作者简介

D. Khramtsov

MIREA – Russian Technological University

Email: a.moshin97@mail.ru
俄罗斯联邦, Moscow

A. Moshin

Moscow Polytechnic University; MIREA – Russian Technological University

编辑信件的主要联系方式.
Email: a.moshin97@mail.ru
俄罗斯联邦, Moscow; Moscow

B. Pokusaev

Moscow Polytechnic University; MIREA – Russian Technological University

Email: a.moshin97@mail.ru
俄罗斯联邦, Moscow; Moscow

D. Nekrasov

Moscow Polytechnic University; MIREA – Russian Technological University

Email: a.moshin97@mail.ru
俄罗斯联邦, Moscow; Moscow

N. Zakharov

MIREA – Russian Technological University

Email: a.moshin97@mail.ru
俄罗斯联邦, Moscow

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2. Fig. 1. Scanning electron microscopy photograph of a colloidal graphene oxide solution.

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3. Fig. 2. Schematic diagram of the experimental setup.

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4. Fig. 3. Schematic diagram of the setup.

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5. Fig. 4. The probability of the microchannel direction is determined by the weighting coefficients r1, r2, r3.

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6. Fig. 5. Formation of channels of random walk methods.

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7. Fig. 6. Graph of the dependence of the intensity of light transmission by a sample of agarose hydrogel 0.4 wt.% with graphene oxide 1 wt.% at different points in time from the beginning of the process, min: 1 – 0, 2 – 60, 3 – 90, 4 – 120, 5 – 150, 6 – 180.

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8. Fig. 7. Pattern of fuchsin front propagation: (A) agarose hydrogel 0.4 wt.%, (B) agarose hydrogel 0.4 wt. % with the addition of graphene oxide 1 wt. % at different time points from the beginning of the experiment, min: 1 – 0, 2 – 60, 3 – 90, 4 – 120, 5 – 150, 6 – 180.

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9. Fig. 8. Dependences of the time dynamics of the fuchsin front boundary growth in the volume of 0.4 wt. % agarose gel with the addition of graphene oxide. 1 – 0.4 wt. % agarose gel + 0.1 wt. % graphene oxide, 2 – 0.4 wt. % agarose gel + 0.5 wt. % graphene oxide, 3 – 0.4 wt. % agarose gel + 1 wt. % graphene oxide, 4 – pure 0.4 wt. % agarose gel.

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10. Fig. 9. Dependences of the temporal dynamics of the growth of the fuchsin front boundary in the volume of 0.6 wt. % agarose gel with the addition of graphene oxide. 1 - agarose gel 0.6 wt. % + graphene oxide 0.1 wt. %, 2 - agarose gel 0.6 wt. % + graphene oxide 0.5 wt. %, 3 - agarose gel 0.6 wt. % + graphene oxide 1 wt. %, 4 - pure agarose gel 0.6 wt. %.

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11. Fig. 10. Dependences of the temporal dynamics of the growth of the fuchsin front boundary in the volume of 0.8 wt. % agarose gel with the addition of graphene oxide. 1 - agarose gel 0.8 wt. % + graphene oxide 0.1 wt. %, 2 - agarose gel 0.8 wt. % + graphene oxide 0.5 wt. %, 3 – agarose gel 0.8 wt. % + graphene oxide 1 wt. %, 4 – pure agarose gel 0.8 wt. %.

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12. Fig. 11. Dependence of the optical density of agarose gels on the concentration of graphene oxide 0.1 wt. %, 0.5 wt. %, 1 wt. % at a wavelength of 450 nm. 1 – 0.4 wt. %, 2 – 0.6 wt. %, 3 – 0.8 wt. %.

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13. Fig. 12. Dependence of the temporal dynamics of fuchsin growth in agarose gel 0.4% with the addition of graphene oxide. 1 – agarose gel 0.4 wt. % + graphene oxide 0.5 wt. %; 2 – agarose gel 0.4 wt. % + graphene oxide 1.0 wt. %; 3 – pure agarose gel 0.4 wt. %; 4 – agarose gel 0.4 wt. % + graphene oxide 0.5 wt. % (model); 5 – agarose gel 0.4 wt. % + graphene oxide 1.0 wt. % (model); 6 – pure agarose gel 0.4 wt. % (model).

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