The University of Southampton
University of Southampton Institutional Repository

Characterization of inkjet printed silver-graphene films for health monitoring applications

Characterization of inkjet printed silver-graphene films for health monitoring applications
Characterization of inkjet printed silver-graphene films for health monitoring applications
Digital manufacturing-based flexible and wearable strain sensors have gained much interest. Herein, inkjet-printed graphene/Ag nanoparticle piezoresistive strain sensors were experimentally investigated for human health monitoring applications. Initially, rectangular patterns were printed on polyethylene terephthalate (PET) substrate, and based on rectangular patterns dimensions, meander patterns design was implemented for sensing applications. Further, characterization and testing of samples were performed. The current-voltage characterization shows the ohmic behavior of hybrid ink-printed samples. The tensile test revealed sensitivity of printed samples fluctuates for applied strain range from 0.01-0.1 percent. However, the change in resistance measured during applied strain is diminutive. Meander pattern sensors demonstrated the ability to detect elbow joint movement and respiratory rate. This inkjet-printed, low-cost, flexible, and wearable sensor has the potential to monitor respiratory rate and bone joint movements continuously and can be explored for biocompatible health applications.
17-20
IEEE
Patil, Ishant G.
baed45a1-64d1-493a-bce2-5606e9491ec0
Lee, Hing Wah
9d0f3634-dd4d-411c-aee0-6bd16b5471d5
Hafiz, Syed Muhammad
7bd83be4-7dff-4171-808d-d6936fde0b6b
Kamarudin, Siti Fatimah
74e9b9ba-e635-4251-8766-f0b59d1fd14b
Sultan, Suhana Mohamed
c5e0a5a3-5ac9-4b9d-bdb3-3af94ce82c89
Ling, Ting Yang
c985f2ee-c76b-4559-b9ff-9bcddda8a3cb
Gan, Khong Wui
b0c1e988-d375-4bbc-acdc-c77a6da1f904
Pu, Suan Hui
8b46b970-56fd-4a4e-8688-28668f648f43
Patil, Ishant G.
baed45a1-64d1-493a-bce2-5606e9491ec0
Lee, Hing Wah
9d0f3634-dd4d-411c-aee0-6bd16b5471d5
Hafiz, Syed Muhammad
7bd83be4-7dff-4171-808d-d6936fde0b6b
Kamarudin, Siti Fatimah
74e9b9ba-e635-4251-8766-f0b59d1fd14b
Sultan, Suhana Mohamed
c5e0a5a3-5ac9-4b9d-bdb3-3af94ce82c89
Ling, Ting Yang
c985f2ee-c76b-4559-b9ff-9bcddda8a3cb
Gan, Khong Wui
b0c1e988-d375-4bbc-acdc-c77a6da1f904
Pu, Suan Hui
8b46b970-56fd-4a4e-8688-28668f648f43

Patil, Ishant G., Lee, Hing Wah, Hafiz, Syed Muhammad, Kamarudin, Siti Fatimah, Sultan, Suhana Mohamed, Ling, Ting Yang, Gan, Khong Wui and Pu, Suan Hui (2023) Characterization of inkjet printed silver-graphene films for health monitoring applications. In 2023 IEEE International Conference on Sensors and Nanotechnology (SENNANO). IEEE. pp. 17-20 . (doi:10.1109/SENNANO57767.2023.10352443).

Record type: Conference or Workshop Item (Paper)

Abstract

Digital manufacturing-based flexible and wearable strain sensors have gained much interest. Herein, inkjet-printed graphene/Ag nanoparticle piezoresistive strain sensors were experimentally investigated for human health monitoring applications. Initially, rectangular patterns were printed on polyethylene terephthalate (PET) substrate, and based on rectangular patterns dimensions, meander patterns design was implemented for sensing applications. Further, characterization and testing of samples were performed. The current-voltage characterization shows the ohmic behavior of hybrid ink-printed samples. The tensile test revealed sensitivity of printed samples fluctuates for applied strain range from 0.01-0.1 percent. However, the change in resistance measured during applied strain is diminutive. Meander pattern sensors demonstrated the ability to detect elbow joint movement and respiratory rate. This inkjet-printed, low-cost, flexible, and wearable sensor has the potential to monitor respiratory rate and bone joint movements continuously and can be explored for biocompatible health applications.

This record has no associated files available for download.

More information

Published date: 19 December 2023

Identifiers

Local EPrints ID: 487816
URI: http://eprints.soton.ac.uk/id/eprint/487816
PURE UUID: e1d4f4b8-8763-4262-a9d2-d584f93167b2
ORCID for Suan Hui Pu: ORCID iD orcid.org/0000-0002-3335-8880

Catalogue record

Date deposited: 05 Mar 2024 18:38
Last modified: 18 Mar 2024 03:47

Export record

Altmetrics

Contributors

Author: Ishant G. Patil
Author: Hing Wah Lee
Author: Syed Muhammad Hafiz
Author: Siti Fatimah Kamarudin
Author: Suhana Mohamed Sultan
Author: Ting Yang Ling
Author: Khong Wui Gan
Author: Suan Hui Pu ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×