Evidence map›Paper›PMID 40352357›Full record

ArticleFrontiers in bioengineering and biotechnology2025

Proof-of-concept study of the TriBot: a robot-based test setup for biotribological analyses of curved articular surfaces.

Luisa de Roy, Moritz Roderigo, Jonas Schwer, Klaus Schlickenrieder, Anita Ignatius, Andreas Martin Seitz

Abstract read
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Article in Frontiers in bioengineering and biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Luisa de RoyInstitute of Orthopedic Research and Biomechanics, Center for Trauma Research, Ulm University Medical Center Ulm, Ulm, Germany.
Moritz RoderigoInstitute of Orthopedic Research and Biomechanics, Center for Trauma Research, Ulm University Medical Center Ulm, Ulm, Germany.
Jonas SchwerInstitute of Orthopedic Research and Biomechanics, Center for Trauma Research, Ulm University Medical Center Ulm, Ulm, Germany.
Klaus SchlickenriederUlm University of Applied Sciences, Faculty of Production Engineering and Management, Ulm, Germany.
Anita IgnatiusInstitute of Orthopedic Research and Biomechanics, Center for Trauma Research, Ulm University Medical Center Ulm, Ulm, Germany.
Andreas Martin SeitzInstitute of Orthopedic Research and Biomechanics, Center for Trauma Research, Ulm University Medical Center Ulm, Ulm, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Investigations on the articular cartilage (AC) frictional properties contribute to a better understanding of knee joint functionality. We identified the need for a tribological setup that allows for friction measurements on curved AC surfaces, without disrupting its structural integrity, under orthogonal contact conditions and controlled normal force application. Therefore, a robotic-based tribometer-the TriBot-was developed and validated in a two-part proof-of-concept study. Methods: First, the friction coefficients of polyoxymethylene pins on three different polyamide (PA) shapes were determined for validation purposes. Second, the frictional properties on porcine tibial plateaus were investigated. Trajectories on the medial and the lateral tibial surface were tested in the intact cartilage state and after inducing an anteromedial local defect. Results: No significant differences in the friction coefficients of the PA samples were found. Inducing an anteromedial cartilage defect significantly increased friction on the affected trajectories (+30%, p < 0.05). Discussion: Our findings showed that the robotic tribometer is suitable for friction measurements on complexly shaped samples and that the system can detect differences in cartilage friction due to structural tissue damage. Overall, the robotic tribometer has the potential to advance our understanding of the knee joint's friction-related functionality.

Indexed as

articular cartilagefrictionosteoarthritisrobotictissue integritytribometer

Identifiers

PMID40352357
PMCPMC12062063

What Socratic holds

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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 Socratic graph.