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Three-dimensional (3D) printing technologies can be widely used for producing detailed geometries based on individual and particular demands. Some applications are related to the production of personalized devices, implants (orthopedic and dental), drug dosage forms (antibacterial, immunosuppressive, anti-inflammatory, etc.), or 3D implants that contain active pharmaceutical treatments, which favor cellular proliferation and tissue regeneration. This review is focused on the generation of 3D printed polymer-based objects that present antibacterial properties. Two main different alternatives of obtaining these 3D printed objects are fully described, which employ different polymer sources. The first one uses natural polymers that, in some cases, already exhibit intrinsic antibacterial capacities. The second alternative involves the use of synthetic polymers, and thus takes advantage of polymers with antimicrobial functional groups, as well as alternative strategies based on the modification of the surface of polymers or the elaboration of composite materials through adding certain antibacterial agents or incorporating different drugs into the polymeric matrix.
09 Industry, 09 Industria, Additive manufacturing, Biología, Biocompatible Materials, 3D printing, Review, 574, 3D printingAdditive manufacturing, innovación e infraestructura, Drug delivery systems, Biocompatible systems, Anti-Infective Agents, Antibacterial polymers, Printing, Three-Dimensional, Animals, Humans, Cellulose, innovation and infrastructure
09 Industry, 09 Industria, Additive manufacturing, Biología, Biocompatible Materials, 3D printing, Review, 574, 3D printingAdditive manufacturing, innovación e infraestructura, Drug delivery systems, Biocompatible systems, Anti-Infective Agents, Antibacterial polymers, Printing, Three-Dimensional, Animals, Humans, Cellulose, innovation and infrastructure
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 61 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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