ArticleMaterials science & engineering. C, Materials for biological applications2015
Titania nanotube arrays as interfaces for neural prostheses.
Article in Materials science & engineering. C, Materials for biological applications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 30 citations in OpenAlex.
- Nano-engineering the titanium-tissue interface: a 15 year perspective on bio-functionalization and surface innovation.Nanoscale advances · 2026Review
- Antimicrobial coated intracortical probes reduce invading microbe abundance and subsequent neuroinflammation.Biomaterials · 2026Article
- Zinc (Zn) Doping by Hydrothermal and Alkaline Heat-Treatment Methods on Titania Nanotube Arrays for Enhanced Antibacterial Activity.Nanomaterials (Basel, Switzerland) · 2023Article
- Effect Morphology and Surface Treatment of the Abutments of Dental Implants on the Dimension and Health of Peri-Implant Biological Space.Materials (Basel, Switzerland) · 2022Article
- Ex vivo evaluation of blood coagulation on endothelial glycocalyx-inspired surfaces using thromboelastography.In vitro models · 2022Article
- Improved hemocompatibility and reduced bacterial adhesion on superhydrophobic titania nanoflower surfaces.Materials science & engineering. C, Materials for biological applications · 2021Article
- Crystallinity of TiOJournal of materials science. Materials in medicine · 2020Article
- Interaction of blood plasma proteins with superhemophobic titania nanotube surfaces.Nanomedicine : nanotechnology, biology, and medicine · 2019Article
- Replication of Micro- and Nanofeatures in Injection Molding of Two PLA Grades with Rapid Surface-Temperature Modulation.Materials (Basel, Switzerland) · 2018Article
- Antibacterial activity on superhydrophobic titania nanotube arrays.Colloids and surfaces. B, Biointerfaces · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Neural prostheses have become ever more acceptable treatments for many different types of neurological damage and disease. Here we investigate the use of two different morphologies of titania nanotube arrays as interfaces to advance the longevity and effectiveness of these prostheses. The nanotube arrays were characterized for their nanotopography, crystallinity, conductivity, wettability, surface mechanical properties and adsorption of key proteins: fibrinogen, albumin and laminin. The loosely packed nanotube arrays fabricated using a diethylene glycol based electrolyte, contained a higher presence of the anatase crystal phase and were subsequently more conductive. These arrays yielded surfaces with higher wettability and lower modulus than the densely packed nanotube arrays fabricated using water based electrolyte. Further the adhesion, proliferation and differentiation of the C17.2 neural stem cell line was investigated on the nanotube arrays. The proliferation ratio of the cells as well as the level of neuronal differentiation was seen to increase on the loosely packed arrays. The results indicate that loosely packed nanotube arrays similar to the ones produced here with a DEG based electrolyte, may provide a favorable template for growth and maintenance of C17.2 neural stem cell line.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.