Highly Sensitive Uric Acid Detection Based on a Graphene Chemoresistor and Magnetic Beads.


Journal

Biosensors
ISSN: 2079-6374
Titre abrégé: Biosensors (Basel)
Pays: Switzerland
ID NLM: 101609191

Informations de publication

Date de publication:
29 Aug 2021
Historique:
received: 13 08 2021
revised: 22 08 2021
accepted: 27 08 2021
entrez: 25 9 2021
pubmed: 26 9 2021
medline: 6 1 2022
Statut: epublish

Résumé

In this study, we developed a low-cost, reusable, and highly sensitive analytical platform for the detection of the human metabolite uric acid (UA). This novel analysis platform combines the graphene chemoresistor detection technique with a magnetic bead (MB) system. The heterojunction (single-layer graphene and HfO

Identifiants

pubmed: 34562894
pii: bios11090304
doi: 10.3390/bios11090304
pmc: PMC8468455
pii:
doi:

Substances chimiques

Uric Acid 268B43MJ25
Graphite 7782-42-5
Urate Oxidase EC 1.7.3.3

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

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Auteurs

Wangyang Zhang (W)

Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215125, China.
College of Mechatronic Engineering, North University of China, Taiyuan 030051, China.

Xiaoqiang Zhao (X)

College of Mechatronic Engineering, North University of China, Taiyuan 030051, China.

Lina Diao (L)

Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215125, China.
School of Nano Technology and Nano Bionics, University of Science and Technology of China, Hefei 230026, China.

Hao Li (H)

Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215125, China.
College of Mechatronic Engineering, Chengdu University of Technology, Chengdu 610059, China.

Zhonghao Tong (Z)

Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215125, China.
College of Mechatronic Engineering, North University of China, Taiyuan 030051, China.

Zhiqi Gu (Z)

Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215125, China.

Bin Miao (B)

Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215125, China.

Zhan Xu (Z)

Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215125, China.
School of Nano Technology and Nano Bionics, University of Science and Technology of China, Hefei 230026, China.

Han Zhang (H)

Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.

Yue Wu (Y)

College of Mechatronic Engineering, North University of China, Taiyuan 030051, China.

Jiadong Li (J)

Key Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215125, China.

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Classifications MeSH