Nanostructured carbon-based materials for wearable sensors in human biophysical monitoring

PhD by Publication


Nguyen, Duy Van. 2025. Nanostructured carbon-based materials for wearable sensors in human biophysical monitoring. PhD by Publication Doctor of Philosophy. University of Southern Queensland. https://doi.org/10.26192/100w71
Title

Nanostructured carbon-based materials for wearable sensors in human biophysical monitoring

TypePhD by Publication
AuthorsNguyen, Duy Van
Supervisor
1. FirstA/Pr Toan Dinh
2. SecondProf John Bell
Institution of OriginUniversity of Southern Queensland
Qualification NameDoctor of Philosophy
Number of Pages153
Year2025
PublisherUniversity of Southern Queensland
Place of PublicationAustralia
Digital Object Identifier (DOI)https://doi.org/10.26192/100w71
Abstract

It is advantageous for individuals to self-monitor their vital biophysical signals, such as heart rate, respiratory rate, or body motions for better health management. These signals can be detected by wearable physical sensors, such as strain sensors, pressure sensors, and electrophysiological sensors, with requirements on desirable sensing performance (e.g., high sensitivity, selectivity, high signal-to-noise ratio) and wearing comfort (e.g., softness, breathability). The popular materials for these sensors are metals and silicon. However, the physical sensors based on those materials either exhibit low sensing performance or possess stiffness that is unfavourable for human skin compliance. This research aims to understand the sensing mechanisms of aligned carbon nanotubes (ACNTs) and cubic-silicon carbide (3C-SiC) membranes for the fabrication of biophysical sensors, such as electrophysiological sensors, strain sensors, and pressure sensors, that exhibit desirable sensing performance and wearing comfort, with the major focus on ACNTs. This study investigates the sensing properties of the ACNTs embedded in soft polymer substrates applied for high-performance and skin-compliant electrophysiological sensors. Additionally, the study investigates the sensing properties of ACNT structures incorporated into the patterned surface of breathable bandages under stretching deformation and explores the application of the breathable bandage-based ACNT strain sensors for detection of human joint motions. Furthermore, the study explores the interaction between ACNTs and 3C-SiC nanomembrane to develop sensitive self-powered pressure sensors, providing insight into the impact of the material structure and mechanical deformation on self-powered sensing properties of the ACNT/3C-SiC structure. The results indicate the promise of the ACNT structures as electrophysiological and strain sensors, exhibiting desirable sensor performance and wearing comfort. The results also demonstrate the potential combination between ACNTs and 3C-SiC nanomembrane for high-performance self-powered pressure sensors. Moreover, insight into the effect of material structures, substrates, and mechanical deformation on the electrical properties and sensing response of ACNTs and 3C-SiC nanomembrane provides understanding for further optimization and improvement of carbon-based biophysical sensors. This thesis follows a "thesis by publication" format, incorporating published and submitted journal papers in Chapters 2, 3, 4, and 5.

Keywordscarbon nanotubes; cubic-silicon carbide; electrophysiological sensors; strain sensors; pressure sensors; self-powered
Related Output
Has partThe Concept of Pressure-Induced Conduction Band Mismatch in Soft-Hard Semiconductors for Self-Powered Phototronic Pressure Sensing
Has partAdvances in Soft Strain and Pressure Sensors
Has partFacile Fabrication of “Tacky”, Stretchable, and Aligned Carbon Nanotube Sheet-Based Electronics for On-Skin Health Monitoring
Has partDirect Transfer Method for Bandage-Based Aligned Carbon Nanotube Wearable Strain Sensors for Health Monitoring
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020400906. Electronic sensors
400909. Photonic and electro-optical devices, sensors and systems (excl. communications)
401603. Compound semiconductors
401604. Elemental semiconductors
401611. Wearable materials
401803. Nanoelectromechanical systems
401807. Nanomaterials
401809. Nanophotonics
Public Notes

File reproduced in accordance with the copyright policy of the publisher/author.

Byline AffiliationsCentre for Future Materials
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https://research.usq.edu.au/item/100w71/nanostructured-carbon-based-materials-for-wearable-sensors-in-human-biophysical-monitoring

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Related outputs

The Concept of Pressure-Induced Conduction Band Mismatch in Soft-Hard Semiconductors for Self-Powered Phototronic Pressure Sensing
Song, Pingan, Nguyen, Duy Van, Tran, Thi Lap, Nguyen,Hung, Chen, Guoliang, Lai, The Khanh, Tran, Toan Trong, Tran, Canh-Dung, Bell, John and Dinh, Toan. 2025. "The Concept of Pressure-Induced Conduction Band Mismatch in Soft-Hard Semiconductors for Self-Powered Phototronic Pressure Sensing." ACS Applied Materials and Interfaces. 17 (22), pp. 32827-32837. https://doi.org/10.1021/acsami.5c05066
Correction to "Advances in Soft Strain and Pressure Sensors"
Nguyen, Duy Van, Song, Pingan, Manshaii, Farid, Bell, John, Chen, Jun and Dinh, Toan. 2025. "Correction to "Advances in Soft Strain and Pressure Sensors"." ACS Nano. https://doi.org/10.1021/acsnano.5c02658
Advances in Soft Strain and Pressure Sensors
Song, Pingan, Nguyen, Duy Van, Manshaii, Farid, Bell, John, Chen, Jun and Dinh, Toan. 2025. "Advances in Soft Strain and Pressure Sensors." ACS Nano. 19 (7), pp. 6663-6704. https://doi.org/10.1021/acsnano.4c15134
Thermo-phototronic Effect in Double Semiconductor Heterostructures for Highly Sensitive Self-Powered Sensors
Nguyen, Hung, Nguyen, Duy Van, Tran, Thi Lap, Dao, Dzung Viet, Nguyen, Nam-Trung, Bell, John and Dinh, Toan. 2024. "Thermo-phototronic Effect in Double Semiconductor Heterostructures for Highly Sensitive Self-Powered Sensors." ACS Applied Electronic Materials. 6 (9), p. 6957–6964. https://doi.org/10.1021/acsaelm.4c01287
Tunable thermo-phototronic effect in unintentionally doped n-3C-SiC/p-Si heterostructure
Nguyen, Hung, Nguyen, Duy Van, Tran, Thi Lap, Song, Pingan, Hong, Min, Dao, Dzung Viet, Nguyen, Nam-Trung, Bell, John and Dinh, Toan. 2024. "Tunable thermo-phototronic effect in unintentionally doped n-3C-SiC/p-Si heterostructure." Applied Physics Letters. 124 (15). https://doi.org/10.1063/5.0187276
Deep Learning-Assisted Sensitive 3C-SiC Sensor for Long-Term Monitoring of Physical Respiration
Tran, Thi Lap, Nguyen, Duy Van, Nguyen, Hung, Nguyen, Thi Phuoc Van, Song, Pingan, Deo, Ravinesh C, Moloney, Clint, Dao, Viet Dung, Nguyen, Nam-Trung and Dinh, Toan. 2024. "Deep Learning-Assisted Sensitive 3C-SiC Sensor for Long-Term Monitoring of Physical Respiration." Advanced Sensor Research. 3 (8). https://doi.org/10.1002/adsr.202300159
Facile Fabrication of “Tacky”, Stretchable, and Aligned Carbon Nanotube Sheet-Based Electronics for On-Skin Health Monitoring
Nguyen, Duy Van, Mills, Dean, Tran, Canh-Dung, Nguyen, Thanh, Nguyen, Hung, Tran (Student), Thi Lap, Song, Pingan, Phan, Hoang-Phuong, Nguyen, Nam-Trung, Dao, Dzung Viet, Bell, John and Dinh, Toan. 2023. "Facile Fabrication of “Tacky”, Stretchable, and Aligned Carbon Nanotube Sheet-Based Electronics for On-Skin Health Monitoring ." ACS Applied Materials and Interfaces. 15 (50), p. 58746–58760. https://doi.org/10.1021/acsami.3c13541
Enhanced Photovoltaic Effect in n-3C-SiC/p-Si Heterostructure Using a Temperature Gradient for Microsensors
Nguyen, Hung, Nguyen, Thanh, Nguyen, Duy Van, Phan, Hoang-Phuong, Nguyen, Tuan Khoa, Dao, Dzung Viet, Nguyen, Nam-Trung, Bell, John and Dinh, Toan. 2023. "Enhanced Photovoltaic Effect in n-3C-SiC/p-Si Heterostructure Using a Temperature Gradient for Microsensors." ACS Applied Materials and Interfaces. 15 (32), pp. 38930-38937. https://doi.org/10.1021/acsami.3c06699
Light harvesting self-powered strain sensor using 3C-SiC/Si heterostructure
Nguyen, Thanh, Nguyen, Duy Van, Nguyen, Hung, Tong, Braiden, Tran, Canh-Dung, Takahashi, Hidetoshi, Dau, Van Thanh, Nguyen, Nam-Trung, Dao, Dzung Viet and Dinh, Toan. 2022. "Light harvesting self-powered strain sensor using 3C-SiC/Si heterostructure." 2022 IEEE sensors . Dallas, TX, USA 30 Oct - 02 Nov 2022 United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/SENSORS52175.2022.9967004