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Digital Quantification Method for Sensitive Point-of-Care Detection of Salivary Uric Acid Using Smartphone-Assisted μPADs

Year: 2022

Type: article

Source: ACS Sensors

DOI: 10.1021/acssensors.2c00854

Authors: Kexin Fan, Jiayang Zeng, Chenyu Yang, Gonglei Wang, Kai Lian, Xiuhong Zhou, Yaping Deng, Guozhen Liu

Institutions: Chinese University of Hong Kong, Chinese University of Hong Kong, Shenzhen, Longgang Central Hospital

Language: English

Topic: Biosensors and Analytical Detection

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, Chinese University of Hong Kong, Shenzhen Bay Laboratory

Awards: G6374901904, G6883669944

OpenAlex ID: W4285093809

FWCI: 3.976

Cites: 42

Cited by: 71

Related to: 10