Wearable intelligent sweat platform for SERS-AI diagnosis of gout-Reference-Cited by-同舟云学术

Wearable intelligent sweat platform for SERS-AI diagnosis of gout

Published:2024 Issue:7 Volume:24 Page:1996-2004
ISSN:1473-0197
Container-title:Lab on a Chip
language:en
Short-container-title:Lab Chip

Author:

Chen Zhaoxian¹,Wang Wei¹,Tian Hao¹,Yu Wenrou¹,Niu Yu¹,Zheng Xueli¹,Liu Shihong²,Wang Li³,Huang Yingzhou¹^ORCID

Affiliation:

1. Chongqing Key Laboratory of Chongqing Key Laboratory of Interface Physics in Energy Conversion, College of Physics, Chongqing University, Chongqing, 400044, China

2. Chongqing University Cancer Hospital, Department of Palliative care, Department of Geriatric Oncology, Chongqing, China

3. Key Laboratory of Optoelectronic Technology and Systems (Ministry of Education), College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China

Abstract

A wearable intelligent SERS platform enables the sensitive detection of UA (0.1 μM) in sweat for AI diagnosis of gout.

Funder

National Natural Science Foundation of China

Chongqing University

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/LC/D3LC01094E

Reference32 articles.

1. Advances of flexible pressure sensors toward artificial intelligence and health care applications

2. Stretchable, Transparent, Ultrasensitive, and Patchable Strain Sensor for Human–Machine Interfaces Comprising a Nanohybrid of Carbon Nanotubes and Conductive Elastomers

3. Autonomous sweat extraction and analysis applied to cystic fibrosis and glucose monitoring using a fully integrated wearable platform

4. Gait Analysis Using Wearable Sensors

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