Explainable Deep Learning-Assisted Self-Calibrating Colorimetric Patches for In Situ Sweat Analysis-Reference-Cited by-同舟云学术

Explainable Deep Learning-Assisted Self-Calibrating Colorimetric Patches for In Situ Sweat Analysis

Published:2024-01-08 Issue:3 Volume:96 Page:1205-1213
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Zhang Jiabing¹²,Liu Zhihao³,Tang Yongtao³²,Wang Shuang¹,Meng Jianxin³,Li Fengyu³⁴^ORCID

Affiliation:

1. Xidian University, Xi’an 710071, P. R. China

2. Graduate School of Medical School of Chinese PLA Hospital BeiJing, Beijing 100853, P. R. China

3. College of Chemistry and Materials Science, Guangdong Provincial Key Laboratory of Speed Capability Research, Su Bingtian Center for Speed Research and Training, Jinan University, Guangzhou 510632, China

4. College of Chemistry, Zhengzhou University, Zhengzhou 450001, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Key Projects in Basic and Applied Research of Jiangmen

Characteristic Innovation Projects of Guangdong Province for University

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.3c04368

Reference57 articles.

1. Wearable sweat sensors

2. A microfluidic paper-based colorimetric device for the visual detection of uric acid in human urine samples

3. Flexible Electrochemical Urea Sensor Based on Surface Molecularly Imprinted Nanotubes for Detection of Human Sweat

4. A laser-engraved wearable sensor for sensitive detection of uric acid and tyrosine in sweat

5. Pt-poly(L-lactic acid) microelectrode-based microsensor for in situ glucose detection in sweat

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