Published July 2021 | Version v1
Journal article

Self-powered artificial joint wear debris sensor based on triboelectric nanogenerator

  • 1. School of Nanoscience and Technology, University of Chinese Academy of Sciences, Beijing 100049 (China)
  • 2. CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083 (China)
  • 3. State Key Laboratory of Tribology, Department of Mechanical Engineering, Tsinghua University, Beijing 10084 (China)
  • 4. Center on Nanoenergy Research, School of Physical Science and Technology, Guangxi University, Nanning 530004 (China)

Description

Highlights: • The TENG-based sensor is fabricated in artificial joint by thermo-compression. • The self-powered sensor can in-situ detect the amount and size of wear debris. • The real-time wear debris monitoring is achieved in joint wear simulator. Replacing the diseased joints with artificial prostheses has long been a common medical mean to alleviate pain or disability, in which the wear debris-induced aseptic loosening is the main mechanism for failure of artificial joint replacement. Timely and in situ detection of the wear debris is necessary to prevent further deterioration of the joint, and provides a basis for the lifetime diagnosis of artificial joint. Here, a self-powered sensor based on triboelectric nanogenerator (TENG) was developed for detecting wear debris generated in artificial joint. The TENG with polyethylene film and steel ball was designed into artificial joint configuration and fabricated by thermo-compression, which could in-situ detect the production of wear debris. Furthermore, the dependence of electrical output signals on the amount and size of the debris was investigated, which demonstrated obvious decrease in voltage with the increase in the amount and size of the particles. Finally, the fabricated sensor was tested in joint wear simulator, which achieved the real-time wear debris monitoring. This work expands the application of TENG in artificial joint wear detection, which is expected to promote the development of biomedical sensor and intelligent healthcare.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.nanoen.2021.105967

Additional details

Identifiers

DOI
10.1016/j.nanoen.2021.105967;
PII
S2211285521002251;

Publishing Information

Journal Title
Nano Energy (Print)
Journal Volume
85
Journal Page Range
vp.
ISSN
2211-2855

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54014466
Subject category
S36: MATERIALS SCIENCE; S47: OTHER INSTRUMENTATION;
Descriptors DEI
DESIGN; ELECTRIC POTENTIAL; POLYETHYLENES; PROSTHESES; SENSORS; SIGNALS; SIMULATORS; STEELS; THIN FILMS
Descriptors DEC
ALLOYS; ANALOG SYSTEMS; CARBON ADDITIONS; FILMS; FUNCTIONAL MODELS; IRON ALLOYS; IRON BASE ALLOYS; MEDICAL SUPPLIES; ORGANIC COMPOUNDS; ORGANIC POLYMERS; POLYMERS; POLYOLEFINS; TRANSITION ELEMENT ALLOYS

Optional Information

Copyright
Copyright (c) 2021 Elsevier Ltd. All rights reserved.