Bactericidal ZnO glass-filled thermoplastic polyurethane and polydimethyl siloxane composites to inhibit biofilm-associated infections.
Belén CabalDavid SevillanoElisa Fernández-GarcíaLuis AlouMarta SuárezNatalia GonzálezJosé S MoyaRamón TorrecillasPublished in: Scientific reports (2019)
This study investigates a novel approach to controlling biofilms of the most frequent pathogens implicated in the etiology of biomaterials-associated infections. New bactericidal filler based on a non-toxic glass, belonging to B2O3-SiO2-Al2O3-Na2O-ZnO system, was used to formulate composites of the most widely used polymers in biomedical applications [i.e. thermoplastic polyurethane (TPU) and polydimethyl siloxane (PDMS)], with varying percentage by weight of the bactericidal glass (5, 15, 25, 35, 50%). Glass-filled polymer composites show dramatically restricted bacterial colonisation and biofilm formation. They exhibit time- and dose-dependent killing, with maximal action at 5 days. The highest activity was found against S.epidermidis biofilm (99% of reduction), one of the most common cause of nosocomial infections. The tensile properties of the obtained glass-filled composites are comparable with the literature data concerning polymeric biomaterials for medical implants and devices. In addition, all the materials presented in this research, revealed an excellent biocompatibility. This was disclosed by cell viability values above 70%, none alteration on erythrocyte membrane or cell functionality in contact with materials (haemolytic index 0-2%), and absence of interferences in blood coagulation (intrinsic, extrinsic and final pathways).
Keyphrases
- biofilm formation
- candida albicans
- reduced graphene oxide
- pseudomonas aeruginosa
- staphylococcus aureus
- tissue engineering
- visible light
- escherichia coli
- single cell
- gold nanoparticles
- systematic review
- healthcare
- room temperature
- acinetobacter baumannii
- body mass index
- aqueous solution
- drug delivery
- quantum dots
- cystic fibrosis
- heart rate
- physical activity
- machine learning
- electronic health record
- artificial intelligence
- cell therapy
- bone marrow
- cancer therapy
- klebsiella pneumoniae
- antimicrobial resistance