Reduced graphene oxide biosensor platform for the detection of NT-proBNP biomarker in its clinical range.

Detection of NT-proBNP in the clinical range New reduction concept Reduced graphene oxide (rGO) thin-films rGO ion sensitive field-effect transistor (ISFET) biosensor

Journal

Biosensors & bioelectronics
ISSN: 1873-4235
Titre abrégé: Biosens Bioelectron
Pays: England
ID NLM: 9001289

Informations de publication

Date de publication:
01 Feb 2019
Historique:
received: 12 07 2018
revised: 22 09 2018
accepted: 29 09 2018
pubmed: 7 11 2018
medline: 16 4 2019
entrez: 7 11 2018
Statut: ppublish

Résumé

Reduced graphene oxide (rGO) thin films can be exploited as highly sensitive transducer layers and integrated in interdigital micro-electrode systems for biosensing processes. The distinctive bipolar characterisitics of rGO thin films can be modulated by a very low external electric field due to the electrostatic charges of biomolecules. These charges lead to a fast response in the readout signals of rGO based ion sensitive field-effect transistors (ISFETs). The characterisitc changes of rGO ISFETs enable a fast, accurate and reproducible detection of biomolecules. The biosensing mechanism offers a fast and label-free approach for analyte detection in contrast to the classical ELISA method. In this contribution, we introduce a reproducible fabrication process of rGO based field-effect transistors on wafer level. The sensors are functionalized as biosensors to measure N-terminal pro-brain natriuretic peptide (NT-proBNP) in human serum within its clinical range. Our optimized rGO sensor shows very promising electrical properties and can be considered as a proof of concept study for the detection of various analytes. The easy and cost-effective fabrication as well as the versatile usability make this new technological platform an auspicious tool for different sensing applications in future.

Identifiants

pubmed: 30399515
pii: S0956-5663(18)30798-X
doi: 10.1016/j.bios.2018.09.102
pii:
doi:

Substances chimiques

Biomarkers 0
Peptide Fragments 0
graphene oxide 0
pro-brain natriuretic peptide (1-76) 0
Natriuretic Peptide, Brain 114471-18-0
Graphite 7782-42-5

Types de publication

Evaluation Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

136-142

Informations de copyright

Copyright © 2018 Elsevier B.V. All rights reserved.

Auteurs

Walid-Madhat Munief (WM)

Department of Informatics and Microsystem Technology, University of Applied Sciences, Kaiserslautern, 66482 Zweibruecken, Germany; Department of Physical Chemistry, Saarland University, 66123 Saarbruecken, Germany; RAM Group DE GmbH, Research and Development Center, 66482 Zweibruecken, Germany.

Xiaoling Lu (X)

Department of Informatics and Microsystem Technology, University of Applied Sciences, Kaiserslautern, 66482 Zweibruecken, Germany; Department of Electrical Engineering and Information Technology, IWE 1, RWTH Aachen University, 52074 Aachen, Germany.

Tobias Teucke (T)

Department of Informatics and Microsystem Technology, University of Applied Sciences, Kaiserslautern, 66482 Zweibruecken, Germany.

Jannick Wilhelm (J)

RAM Group DE GmbH, Research and Development Center, 66482 Zweibruecken, Germany.

Anette Britz (A)

Department of Informatics and Microsystem Technology, University of Applied Sciences, Kaiserslautern, 66482 Zweibruecken, Germany.

Felix Hempel (F)

RAM Group DE GmbH, Research and Development Center, 66482 Zweibruecken, Germany.

Ruben Lanche (R)

RAM Group DE GmbH, Research and Development Center, 66482 Zweibruecken, Germany.

Miriam Schwartz (M)

RAM Group DE GmbH, Research and Development Center, 66482 Zweibruecken, Germany.

Jessica Ka Yan Law (JKY)

RAM Group DE GmbH, Research and Development Center, 66482 Zweibruecken, Germany.

Samuel Grandthyll (S)

Department of Experimental Physics, Saarland University, Campus E2.9, 66123 Saarbruecken, Germany.

Frank Müller (F)

Department of Experimental Physics, Saarland University, Campus E2.9, 66123 Saarbruecken, Germany.

Jens-Uwe Neurohr (JU)

Department of Experimental Physics, Saarland University, Campus E2.9, 66123 Saarbruecken, Germany.

Karin Jacobs (K)

Department of Experimental Physics, Saarland University, Campus E2.9, 66123 Saarbruecken, Germany.

Michael Schmitt (M)

Institute for Coatings and Surface Technology, University of Applied Sciences Niederrhein, 47805 Krefeld, Germany.

Vivek Pachauri (V)

Department of Informatics and Microsystem Technology, University of Applied Sciences, Kaiserslautern, 66482 Zweibruecken, Germany; Department of Electrical Engineering and Information Technology, IWE 1, RWTH Aachen University, 52074 Aachen, Germany.

Rolf Hempelmann (R)

Department of Physical Chemistry, Saarland University, 66123 Saarbruecken, Germany; Korean Institute of Science and Technology, 66123 Saarbruecken, Germany.

Sven Ingebrandt (S)

Department of Informatics and Microsystem Technology, University of Applied Sciences, Kaiserslautern, 66482 Zweibruecken, Germany; Department of Electrical Engineering and Information Technology, IWE 1, RWTH Aachen University, 52074 Aachen, Germany.

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Classifications MeSH