Beetosan®-Based Hydrogels Modified with Natural Substances
In this study a series of hydrogels based on Beetosan® and containing natural substances, such as bee pollen and sage (Salvia officinalis), have been prepared. Beetosan is a type of chitosan that is obtained from the external skeletons of naturally occurring dead honeybees. In multistage chemical treatment, dead insect waste is converted into chitosan that is used in research as a hydrogel matrix. Prepared materials were synthesized using photopolymerization. Studies on the obtained hydrogels included determining their swelling ability and behavior in a simulated body fluid environment, as well as determining their chemical structure by Fourier transform infrared spectroscopy (FTIR). Based on the research it can be stated that all synthesized modified hydrogels are characterized by swelling ability and do not tend to degrade after immersing in solutions with a composition similar to body fluids.
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Document Type: Research Article
Publication date: 2017-07-01
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- The Journal of Renewable Materials (JRM) publishes high quality peer reviewed original research on macromolecules and additives obtained from renewable/biobased resources. Utilizing a multidisciplinary approach, JRM introduces cutting-edge research on biobased monomers, polymers, additives (both organic and inorganic), their blends and composites. It showcases both fundamental aspects and new applications for renewable materials. The fundamental theories and topics pertain to chemistry of biobased monomers, macromoners and polymers, their structure-property relationship, processing using sustainable methods, characterization (spectroscopic, morphological, thermal, mechanical, and rheological), bio and environmental degradation, and life cycle analysis. Demonstration of use of renewable materials and composites in applications including adhesives, bio and environmentally degradable structures, biomedicine, construction, electrical & electronics, mechanical, mendable and self-healing systems, optics, packaging, recycling, shape-memory, and stimulus responsive systems will be presented.
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