Evidence map›Paper›PMID 34200329›Full record

ArticleNanomaterials (Basel, Switzerland)2021

Nano-Topographical Control of Ti-Nb-Zr Alloy Surfaces for Enhanced Osteoblastic Response.

Min-Kyu Lee, Hyun Lee, Hyoun-Ee Kim, Eun-Jung Lee, Tae-Sik Jang, Hyun-Do Jung

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Min-Kyu LeeDepartment of Materials Science and Engineering, Seoul National University, Seoul 08826, Korea.ORCID 0000-0002-8770-585X
Hyun LeeDepartment of Biomedical-Chemical Engineering, Catholic University of Korea, Bucheon 14662, Korea.
Hyoun-Ee KimDepartment of Materials Science and Engineering, Seoul National University, Seoul 08826, Korea.
Eun-Jung LeeDepartment of Nano-Biomedical Science & BK21 PLUS NBM Global Research Center for Regenerative Medicine, Dankook University, Cheonan 31116, Korea.ORCID 0000-0002-1538-7864
Tae-Sik JangDepartment of Materials Science and Engineering, Chosun University, Gwangju 61452, Korea.ORCID 0000-0003-3540-0525
Hyun-Do JungDepartment of Biomedical-Chemical Engineering, Catholic University of Korea, Bucheon 14662, Korea.ORCID 0000-0001-8632-7431

Funding

Ministry of Trade, Industry and Energy 20001221
6 · The paper itself

Abstract

Nano-scale surface roughening of metallic bio-implants plays an important role in the clinical success of hard tissue reconstruction and replacement. In this study, the nano-topographical features of titanium-niobium-zirconium (TNZ) alloy surfaces were controlled by using the target-ion induced plasma sputtering (TIPS) technique to improve the in vitro osteoblastic response. The TIPS technique is a novel strategy for etching the surface of metallic bio-implants using bombardment of target metal cations, which were accelerated by an extremely high negative bias voltage applied to the substrates. The nano-topography of the TNZ surfaces was successfully controlled by modulating experimental variables (such as the ion etching energy and the type of substrate or target materials) of TIPS. As a result, various nanopatterns (size: 10-210 nm) were fabricated on the surface of the TNZ alloys. Compared with the control group, experimental groups with nanopattern widths of ≥130 nm (130 and 210 nm groups) exhibited superior cell adhesion, proliferation, and differentiation. Our findings demonstrate that TIPS is a promising technology that can impart excellent biological functions to the surface of metallic bio-implants.

Indexed as

biocompatibilitybiomedical implantsion etchingnano-topographyTi-based alloy

Identifiers

PMID34200329
PMCPMC8229642

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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.