Evidence map›Paper›PMID 41157506›Full record

ArticleSensors (Basel, Switzerland)2025

Experimental Investigation of 3D-Printed TPU Triboelectric Composites for Biomechanical Energy Conversion in Knee Implants.

Osama Abdalla, Milad Azami, Amir Ameli, Emre Salman, Milutin Stanacevic, Ryan Willing, Shahrzad Towfighian

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

7 authors.

Osama AbdallaDepartment of Mechanical Engineering, State University of New York at Binghamton, Binghamton, NY 13902, USA.ORCID 0009-0009-2036-2790
Milad AzamiDepartment of Plastics Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA.ORCID 0009-0002-5921-660X
Amir AmeliDepartment of Plastics Engineering, University of Massachusetts Lowell, Lowell, MA 01854, USA.ORCID 0000-0002-1616-1162
Emre SalmanDepartment of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY 11794, USA.
Milutin StanacevicDepartment of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY 11794, USA.
Ryan WillingDepartment of Mechanical and Materials Engineering, University of Western Ontario, London, ON N6A 3K7, Canada.
Shahrzad TowfighianDepartment of Mechanical Engineering, State University of New York at Binghamton, Binghamton, NY 13902, USA.ORCID 0000-0002-5084-7395

Funding

Self-Powered Load Sensors for Total Knee Replacement Health MonitoringR01AR080798 · NIAMS · STATE UNIVERSITY OF NY,BINGHAMTON · PI Shahrzad Towfighian · 2022 to 2026
$2.2M
NIAMS NIH HHS R01 AR080798NIH HHS 5R01AR080798-03
6 · The paper itself

Abstract

Although total knee replacements have an insignificant impact on patients' mobility and quality of life, real-time performance monitoring remains a challenge. Monitoring the load over time can improve surgery outcomes and early detection of mechanical imbalances. Triboelectric nanogenerators (TENGs) present a promising approach as a self-powered sensor for load monitoring in TKR. A TENG was fabricated with dielectric layers consisting of Kapton tape and 3D-printed thermoplastic polyurethane (TPU) matrix incorporating CNT and BTO fillers, separated by an air gap and sandwiched between two copper electrodes. The sensor performance was optimized by varying the concentrations of BTO and CNT to study their effect on the energy-harvesting behavior. The test results demonstrate that the BTO/TPU composite that has 15% BTO achieved the maximum power output of 11.15 μW, corresponding to a power density of 7 mW/m

Indexed as

3D printingadditive manufacturingbarium titanate (BaTiO3)carbon nanotubespressure sensorsmart knee implantTPU 3D printingtriboelectric nanogenerator

Identifiers

PMID41157506
PMCPMC12568253

What OpenQuestion holds

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Registered trials

None linked

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.