A fuzzy analysis for porous bioceramic-magnetite nanoparticles-zirconia scaffold prepared by space holder technique with poly vinyl pyrrolidone (PVP) coating: Investigation of mechanical and biological properties

Li, Xiang; Liang, Huixing; Tang, Xin; Wu, Junsong; Wang, Jialian

doi:10.1016/j.ceramint.2022.02.170

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Present Challenges and Future Opportunities1

Surface Treatment Of Biomaterials and Implants1

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2022

2023

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Cited by 3 publications

(2 citation statements)

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“…Evidence suggests that zirconium nanoparticles can increase bone formation, reduce inflammation, have antimicrobial activity, and enhance cell adhesion and proliferation. Overall, cells react favourably to zirconium nanoparticles found in dental implants [ 135 ]. Morphological and biological tests have revealed a moderately low level of toxicity.…”

Section: Present Challenges and Future Opportunitiesmentioning

confidence: 99%

Advances of plant and biomass extracted zirconium nanoparticles in dental implant application

Hossain

Mobarak

Hossain

et al. 2023

Heliyon

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Section: Present Challenges and Future Opportunitiesmentioning

confidence: 99%

Advances of plant and biomass extracted zirconium nanoparticles in dental implant application

Hossain

Mobarak

Hossain

et al. 2023

Heliyon

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“…The mechanical and biological behavior of the surface polyvinyl pyrrolidone coated bio-ceramic nano magnetite / zirconia particles in a porous biomaterial used as a scaffold was predicted utilizing the fuzzy techniques (Li et al, 2022). The fuzzy logic models were developed to predict the fracture strength, strain rate, compressive strength of the porous calcium carbonate scaffolds coated with the magnetite and zirconia particles.…”

Section: Surface Treatment Of Biomaterials and Implantsmentioning

confidence: 99%

Computational intelligence based design of biomaterials

Arulraj¹,

Datta²

2022

cmms

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This paper presents an overview of the applications of computational intelligence techniques, viz. artificial neural networks, fuzzy inference systems, and genetic algorithms, for the design of biomaterials with improved performance. These techniques are basically used for developing data-driven models and for optimization. The paper introduces the domain of biomaterials and how they can be designed using computational intelligence techniques. Then a brief description of the tools is made, followed by the applications of the tools in various domains of biomaterials. The applications range in all classes of materials ranging from alloys to composites. There are examples of applications for the surface treatment of biomaterials, materials for drug delivery systems, materials for scaffolds and even in implant design. It is found the tools can be effectively used for designing new and improved biomaterials.

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Porous scaffold preparation analysis for knee joint using chitosan-polyvinyl alcohol-hydroxyapatite nanoparticles under fuzzy uncertainty

Jiang

Yan

et al. 2022

Materials Chemistry and Physics

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A fuzzy analysis for porous bioceramic-magnetite nanoparticles-zirconia scaffold prepared by space holder technique with poly vinyl pyrrolidone (PVP) coating: Investigation of mechanical and biological properties

Cited by 3 publications

References 31 publications

Advances of plant and biomass extracted zirconium nanoparticles in dental implant application

Advances of plant and biomass extracted zirconium nanoparticles in dental implant application

Computational intelligence based design of biomaterials

Porous scaffold preparation analysis for knee joint using chitosan-polyvinyl alcohol-hydroxyapatite nanoparticles under fuzzy uncertainty

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