Hydrogel composites based on PEG acrylate derivatives obtained by means of DLP-printingтезисы доклада Тезисы

Дата последнего поиска статьи во внешних источниках: 1 августа 2019 г.

Работа с тезисами доклада

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1. Полный текст yCAM_2019_Tikhonov.pdf 665,5 КБ 10 мая 2019 [alenakovaleva]

[1] Hydrogel composites based on peg acrylate derivatives obtained by means of dlp-printing / T. Andrey, K. Elena, E. Pavel et al. // yCAM 2019, Conference Abstracts, young Ceramists Additive Manufacturing Forum, April 3-5 2019. — Université de Mons Mons, Belgium, 2019. — P. 82–82. Creation of bone-substituent materials is significant for modern medicine and materials science. Modern bone implants are represented commonly by metal alloys, ceramics and polymers most of which have low elasticity and can’t be applied for filling and restoration of hard-to-get defects with a complex shape. This problem can be resolved by developing of the appropriate hydrogel scaffolds. They possess viscoelastic properties and ability to swell into different media. It allows compressing the bone implant during the surgical operation, placing into the defect site and tightly filling it. In this work, we tried to obtain the material with the following properties: a) elasticity; b) biodegradability, led to complete substitution of the implant by native bone tissue; c) osteoconductivity, i.e. the permeability of the implant for bone tissue growth, blood vessels, nutrients etc., through interconnected macropores (of about 500-1000 μm). The study was aimed at elaboration of biocompatible, biodegradable and light-cured hydrogels based on the mixture of methacrylate and diacrylate polyethylene glycol (PEG) derivatives which were reinforced by layered calcium phosphates. Such composites had specific macroporosity (Kelvin, gyroid and diamond). These structures were formed using DLP 3D-printer Ember (Autodesk, USA). Photoinitiators were chosen due to their water solubility and high molar extinction coefficient at 405 nm (wavelength of Ember light source). The work was supported by RSF, grant #17-79-20427. The authors acknowledge partial support from Lomonosov Moscow State University Program of Development.

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