PMID- 38197472
OWN - NLM
STAT- MEDLINE
DCOM- 20240130
LR  - 20240206
IS  - 1364-5528 (Electronic)
IS  - 0003-2654 (Linking)
VI  - 149
IP  - 3
DP  - 2024 Jan 29
TI  - An integrated wearable sticker based on extended-gate AlGaN/GaN high electron 
      mobility transistors for real-time cortisol detection in human sweat.
PG  - 958-967
LID - 10.1039/d3an02115g [doi]
AB  - Cortisol hormone imbalances can be detected through non-invasive sweat monitoring 
      using field-effect transistor (FET) biosensors, which provide rapid and sensitive 
      detection. However, challenges like skin compatibility and integration with sweat 
      collection have hindered FET biosensors as wearable sensing platforms. In this 
      study, we present an integrated wearable sticker for real-time cortisol detection 
      based on an extended-gate AlGaN/GaN high electron mobility transistor (HEMT) 
      combined with a soft bottom substrate and flexible channel for sweat collection. 
      The developed devices exhibit excellent linearity (R(2) = 0.990) and a high 
      sensitivity of 1.245 muA dec(-1) for cortisol sensing from 1 nM to 100 muM in 
      high-ionic-strength solution, with successful cortisol detection demonstrated 
      using authentic human sweat samples. Additionally, the chip's microminiature 
      design effectively reduces bending impact during the wearable process of 
      traditional soft binding sweat sensors. The extendedgate structure design of the 
      HEMT chip enhances both width-to-length ratio and active sensing area, resulting 
      in an exceptionally low detection limit of 100 fM. Futhermore, due to GaN 
      material's inherent stability, this device exhibits long-term stability with 
      sustained performance within a certain attenuation range even after 60 days. 
      These stickers possess small, lightweight, and portable features that enable 
      real-time cortisol detection within 5 minutes through direct sweat collection. 
      The application of this technology holds great potential in the field of personal 
      health management, facilitating users to conveniently monitor their mental and 
      physical conditions.
FAU - Xu, Boxuan
AU  - Xu B
AD  - The College of Materials Science and Engineering, Shanghai University, Shanghai, 
      200072, People's Republic of China. lijun_yt@shu.edu.cn.
AD  - Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou 
      Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 
      215125, People's Republic of China. zqgu2017@sinano.ac.cn.
FAU - Chang, Hui
AU  - Chang H
AD  - Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou 
      Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 
      215125, People's Republic of China. zqgu2017@sinano.ac.cn.
AD  - School of Nano Technology and Nano Bionics, University of Science and Technology 
      of China, Hefei, 230026, People's Republic of China. jdli2009@sinano.ac.cn.
FAU - Yang, Guo
AU  - Yang G
AD  - School of Electrical and Mechanical Engineering, Changchun University of Science 
      and Technology, Changchun 130022, China.
FAU - Xu, Zhan
AU  - Xu Z
AD  - Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou 
      Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 
      215125, People's Republic of China. zqgu2017@sinano.ac.cn.
AD  - School of Nano Technology and Nano Bionics, University of Science and Technology 
      of China, Hefei, 230026, People's Republic of China. jdli2009@sinano.ac.cn.
FAU - Li, Jun
AU  - Li J
AUID- ORCID: 0000-0003-0124-1757
AD  - The College of Materials Science and Engineering, Shanghai University, Shanghai, 
      200072, People's Republic of China. lijun_yt@shu.edu.cn.
FAU - Gu, Zhiqi
AU  - Gu Z
AD  - Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou 
      Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 
      215125, People's Republic of China. zqgu2017@sinano.ac.cn.
FAU - Li, Jiadong
AU  - Li J
AUID- ORCID: 0000-0002-0799-8710
AD  - Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou 
      Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 
      215125, People's Republic of China. zqgu2017@sinano.ac.cn.
AD  - School of Nano Technology and Nano Bionics, University of Science and Technology 
      of China, Hefei, 230026, People's Republic of China. jdli2009@sinano.ac.cn.
LA  - eng
PT  - Journal Article
DEP - 20240129
PL  - England
TA  - Analyst
JT  - The Analyst
JID - 0372652
RN  - 0 (aluminum gallium nitride)
RN  - WI4X0X7BPJ (Hydrocortisone)
RN  - CH46OC8YV4 (Gallium)
RN  - 0 (Aluminum Compounds)
SB  - IM
MH  - Humans
MH  - Sweat/chemistry
MH  - Hydrocortisone/analysis
MH  - Electrons
MH  - *Biosensing Techniques/methods
MH  - *Wearable Electronic Devices
MH  - *Gallium
MH  - *Aluminum Compounds
EDAT- 2024/01/10 12:42
MHDA- 2024/01/30 12:44
CRDT- 2024/01/10 08:09
PHST- 2024/01/30 12:44 [medline]
PHST- 2024/01/10 12:42 [pubmed]
PHST- 2024/01/10 08:09 [entrez]
AID - 10.1039/d3an02115g [doi]
PST - epublish
SO  - Analyst. 2024 Jan 29;149(3):958-967. doi: 10.1039/d3an02115g.