Amperometric sarcosine biosensor based on hollow magnetic Pt-Fe


Journal

Analytica chimica acta
ISSN: 1873-4324
Titre abrégé: Anal Chim Acta
Pays: Netherlands
ID NLM: 0370534

Informations de publication

Date de publication:
31 Oct 2019
Historique:
received: 28 05 2019
revised: 09 06 2019
accepted: 10 06 2019
entrez: 31 7 2019
pubmed: 31 7 2019
medline: 8 10 2019
Statut: ppublish

Résumé

Sarcosine is a recently identified biomarker for prostate cancer. However, the rapid detection methods for sarcosine are relatively lack because of the low concentration and the presence of complicated interfering substances in serum or urine. In this manuscript, hollow nanospheres of Fe

Identifiants

pubmed: 31358215
pii: S0003-2670(19)30756-1
doi: 10.1016/j.aca.2019.06.031
pii:
doi:

Substances chimiques

Enzymes, Immobilized 0
Magnetite Nanoparticles 0
Platinum 49DFR088MY
Carbon 7440-44-0
Sarcosine Oxidase EC 1.5.3.1
Sarcosine Z711V88R5F

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

161-167

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Qingui Yang (Q)

College of Materials Science and Engineering, and Shenzhen Key Laboratory of Polymer Science and Technology, Shenzhen University, Shenzhen, 518060, PR China.

Na Li (N)

College of Materials Science and Engineering, and Shenzhen Key Laboratory of Polymer Science and Technology, Shenzhen University, Shenzhen, 518060, PR China.

Qiang Li (Q)

College of Materials Science and Engineering, and Shenzhen Key Laboratory of Polymer Science and Technology, Shenzhen University, Shenzhen, 518060, PR China.

Shaoqing Chen (S)

Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, PR China.

Hsing-Lin Wang (HL)

Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, PR China.

Haipeng Yang (H)

College of Materials Science and Engineering, and Shenzhen Key Laboratory of Polymer Science and Technology, Shenzhen University, Shenzhen, 518060, PR China. Electronic address: yanghp@szu.edu.cn.

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Classifications MeSH