Cargando…
Laser-Induced Graphene-Based Wearable Epidermal Ion-Selective Sensors for Noninvasive Multiplexed Sweat Analysis
Wearable sweat sensors are a rapidly rising research area owing to their convenience for personal healthcare and disease diagnosis in a real-time and noninvasive manner. However, the fast and scalable fabrication of flexible electrodes remains a major challenge. Here, we develop a wearable epidermal...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221044/ https://www.ncbi.nlm.nih.gov/pubmed/35735545 http://dx.doi.org/10.3390/bios12060397 |
_version_ | 1784732523680497664 |
---|---|
author | Liao, Jianjun Zhang, Xiangya Sun, Zihan Chen, Hande Fu, Jian Si, Hewei Ge, Chengjun Lin, Shiwei |
author_facet | Liao, Jianjun Zhang, Xiangya Sun, Zihan Chen, Hande Fu, Jian Si, Hewei Ge, Chengjun Lin, Shiwei |
author_sort | Liao, Jianjun |
collection | PubMed |
description | Wearable sweat sensors are a rapidly rising research area owing to their convenience for personal healthcare and disease diagnosis in a real-time and noninvasive manner. However, the fast and scalable fabrication of flexible electrodes remains a major challenge. Here, we develop a wearable epidermal sensor for multiplexed sweat analysis based on the laser-induced graphene (LIG) technique. This simple and mask-free technique allows the direct manufacturing of graphene electrode patterns on commercial polyimide foils. The resulting LIG devices can simultaneously monitor the pH, Na(+), and K(+) levels in sweat with the sensitivities of 51.5 mV/decade (pH), 45.4 mV/decade (Na(+)), and 43.3 mV/decade (K(+)), respectively. Good reproducibility, stability, and selectivity are also observed. On-body testing of the LIG-based sensor integrated with a flexible printed circuit board during stationary cycling demonstrates its capability for real-time sweat analysis. The concentrations of ions can be remotely and wirelessly transmitted to a custom-developed smartphone application during the period in which the sensor user performs physical activities. Owing to the unique advantages of LIG technique, including facile fabrication, mass production, and versatile, more physiological signals (glucose, uric acid, tyrosine, etc.) could be easily expanded into the LIG-based wearable sensors to reflect the health status or clinical needs of individuals. |
format | Online Article Text |
id | pubmed-9221044 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92210442022-06-24 Laser-Induced Graphene-Based Wearable Epidermal Ion-Selective Sensors for Noninvasive Multiplexed Sweat Analysis Liao, Jianjun Zhang, Xiangya Sun, Zihan Chen, Hande Fu, Jian Si, Hewei Ge, Chengjun Lin, Shiwei Biosensors (Basel) Article Wearable sweat sensors are a rapidly rising research area owing to their convenience for personal healthcare and disease diagnosis in a real-time and noninvasive manner. However, the fast and scalable fabrication of flexible electrodes remains a major challenge. Here, we develop a wearable epidermal sensor for multiplexed sweat analysis based on the laser-induced graphene (LIG) technique. This simple and mask-free technique allows the direct manufacturing of graphene electrode patterns on commercial polyimide foils. The resulting LIG devices can simultaneously monitor the pH, Na(+), and K(+) levels in sweat with the sensitivities of 51.5 mV/decade (pH), 45.4 mV/decade (Na(+)), and 43.3 mV/decade (K(+)), respectively. Good reproducibility, stability, and selectivity are also observed. On-body testing of the LIG-based sensor integrated with a flexible printed circuit board during stationary cycling demonstrates its capability for real-time sweat analysis. The concentrations of ions can be remotely and wirelessly transmitted to a custom-developed smartphone application during the period in which the sensor user performs physical activities. Owing to the unique advantages of LIG technique, including facile fabrication, mass production, and versatile, more physiological signals (glucose, uric acid, tyrosine, etc.) could be easily expanded into the LIG-based wearable sensors to reflect the health status or clinical needs of individuals. MDPI 2022-06-09 /pmc/articles/PMC9221044/ /pubmed/35735545 http://dx.doi.org/10.3390/bios12060397 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Liao, Jianjun Zhang, Xiangya Sun, Zihan Chen, Hande Fu, Jian Si, Hewei Ge, Chengjun Lin, Shiwei Laser-Induced Graphene-Based Wearable Epidermal Ion-Selective Sensors for Noninvasive Multiplexed Sweat Analysis |
title | Laser-Induced Graphene-Based Wearable Epidermal Ion-Selective Sensors for Noninvasive Multiplexed Sweat Analysis |
title_full | Laser-Induced Graphene-Based Wearable Epidermal Ion-Selective Sensors for Noninvasive Multiplexed Sweat Analysis |
title_fullStr | Laser-Induced Graphene-Based Wearable Epidermal Ion-Selective Sensors for Noninvasive Multiplexed Sweat Analysis |
title_full_unstemmed | Laser-Induced Graphene-Based Wearable Epidermal Ion-Selective Sensors for Noninvasive Multiplexed Sweat Analysis |
title_short | Laser-Induced Graphene-Based Wearable Epidermal Ion-Selective Sensors for Noninvasive Multiplexed Sweat Analysis |
title_sort | laser-induced graphene-based wearable epidermal ion-selective sensors for noninvasive multiplexed sweat analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221044/ https://www.ncbi.nlm.nih.gov/pubmed/35735545 http://dx.doi.org/10.3390/bios12060397 |
work_keys_str_mv | AT liaojianjun laserinducedgraphenebasedwearableepidermalionselectivesensorsfornoninvasivemultiplexedsweatanalysis AT zhangxiangya laserinducedgraphenebasedwearableepidermalionselectivesensorsfornoninvasivemultiplexedsweatanalysis AT sunzihan laserinducedgraphenebasedwearableepidermalionselectivesensorsfornoninvasivemultiplexedsweatanalysis AT chenhande laserinducedgraphenebasedwearableepidermalionselectivesensorsfornoninvasivemultiplexedsweatanalysis AT fujian laserinducedgraphenebasedwearableepidermalionselectivesensorsfornoninvasivemultiplexedsweatanalysis AT sihewei laserinducedgraphenebasedwearableepidermalionselectivesensorsfornoninvasivemultiplexedsweatanalysis AT gechengjun laserinducedgraphenebasedwearableepidermalionselectivesensorsfornoninvasivemultiplexedsweatanalysis AT linshiwei laserinducedgraphenebasedwearableepidermalionselectivesensorsfornoninvasivemultiplexedsweatanalysis |