Modular Design in Triboelectric Sensors: A Review on the Clinical Applications for Real-Time Diagnosis

Triboelectric nanogenerators (TENGs) have garnered considerable interest as a promising technology for energy harvesting and stimulus sensing. While TENGs facilitate the generation of electricity from micro-motions, the modular design of TENG-based modular sensing systems (TMSs) also offers signific...

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Main Authors: Zequan Zhao, Yin Lu, Yajun Mi, Qiliang Zhu, Jiajing Meng, Xueqing Wang, Xia Cao, Ning Wang
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/9/4194
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author Zequan Zhao
Yin Lu
Yajun Mi
Qiliang Zhu
Jiajing Meng
Xueqing Wang
Xia Cao
Ning Wang
author_facet Zequan Zhao
Yin Lu
Yajun Mi
Qiliang Zhu
Jiajing Meng
Xueqing Wang
Xia Cao
Ning Wang
author_sort Zequan Zhao
collection DOAJ
description Triboelectric nanogenerators (TENGs) have garnered considerable interest as a promising technology for energy harvesting and stimulus sensing. While TENGs facilitate the generation of electricity from micro-motions, the modular design of TENG-based modular sensing systems (TMSs) also offers significant potential for powering biosensors and other medical devices, thus reducing dependence on external power sources and enabling biological processes to be monitored in real time. Moreover, TENGs can be customised and personalized to address individual patient needs while ensuring biocompatibility and safety, ultimately enhancing the efficiency and security of diagnosis and treatment. In this review, we concentrate on recent advancements in the modular design of TMSs for clinical applications with an emphasis on their potential for personalised real-time diagnosis. We also examine the design and fabrication of TMSs, their sensitivity and specificity, and their capabilities of detecting biomarkers for disease diagnosis and monitoring. Furthermore, we investigate the application of TENGs to energy harvesting and real-time monitoring in wearable and implantable medical devices, underscore the promising prospects of personalised and modular TMSs in advancing real-time diagnosis for clinical applications, and offer insights into the future direction of this burgeoning field.
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spelling doaj.art-b31828bd9d314c7a8477f6b8236882472023-11-17T23:40:58ZengMDPI AGSensors1424-82202023-04-01239419410.3390/s23094194Modular Design in Triboelectric Sensors: A Review on the Clinical Applications for Real-Time DiagnosisZequan Zhao0Yin Lu1Yajun Mi2Qiliang Zhu3Jiajing Meng4Xueqing Wang5Xia Cao6Ning Wang7Center for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, ChinaCenter for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, ChinaCenter for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, ChinaCenter for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, ChinaCenter for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, ChinaCenter for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, ChinaBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, ChinaCenter for Green Innovation, School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, ChinaTriboelectric nanogenerators (TENGs) have garnered considerable interest as a promising technology for energy harvesting and stimulus sensing. While TENGs facilitate the generation of electricity from micro-motions, the modular design of TENG-based modular sensing systems (TMSs) also offers significant potential for powering biosensors and other medical devices, thus reducing dependence on external power sources and enabling biological processes to be monitored in real time. Moreover, TENGs can be customised and personalized to address individual patient needs while ensuring biocompatibility and safety, ultimately enhancing the efficiency and security of diagnosis and treatment. In this review, we concentrate on recent advancements in the modular design of TMSs for clinical applications with an emphasis on their potential for personalised real-time diagnosis. We also examine the design and fabrication of TMSs, their sensitivity and specificity, and their capabilities of detecting biomarkers for disease diagnosis and monitoring. Furthermore, we investigate the application of TENGs to energy harvesting and real-time monitoring in wearable and implantable medical devices, underscore the promising prospects of personalised and modular TMSs in advancing real-time diagnosis for clinical applications, and offer insights into the future direction of this burgeoning field.https://www.mdpi.com/1424-8220/23/9/4194modular designreal-time diagnosistriboelectric sensorself-powered system
spellingShingle Zequan Zhao
Yin Lu
Yajun Mi
Qiliang Zhu
Jiajing Meng
Xueqing Wang
Xia Cao
Ning Wang
Modular Design in Triboelectric Sensors: A Review on the Clinical Applications for Real-Time Diagnosis
Sensors
modular design
real-time diagnosis
triboelectric sensor
self-powered system
title Modular Design in Triboelectric Sensors: A Review on the Clinical Applications for Real-Time Diagnosis
title_full Modular Design in Triboelectric Sensors: A Review on the Clinical Applications for Real-Time Diagnosis
title_fullStr Modular Design in Triboelectric Sensors: A Review on the Clinical Applications for Real-Time Diagnosis
title_full_unstemmed Modular Design in Triboelectric Sensors: A Review on the Clinical Applications for Real-Time Diagnosis
title_short Modular Design in Triboelectric Sensors: A Review on the Clinical Applications for Real-Time Diagnosis
title_sort modular design in triboelectric sensors a review on the clinical applications for real time diagnosis
topic modular design
real-time diagnosis
triboelectric sensor
self-powered system
url https://www.mdpi.com/1424-8220/23/9/4194
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