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doi:10.22028/D291-28878
Titel: | Reduced graphene oxide biosensor platform for the detection of NT-proBNP biomarker in its clinical range |
VerfasserIn: | Munief, Walid-Madhat Lu, Xiaoling Teucke, Tobias Wilhelm, Jannick Britz, Anette Hempel, Felix Lanche, Ruben Schwartz, Miriam Law, Jessica Ka Yan Grandthyll, Samuel Müller, Frank Neurohr, Jens-Uwe Jacobs, Karin Schmitt, Michael Pachauri, Vivek Hempelmann, Rolf Ingebrandt, Sven |
Sprache: | Englisch |
Titel: | Biosensors and Bioelectronics |
Bandnummer: | 126 |
Startseite: | 136 |
Endseite: | 142 |
Verlag/Plattform: | Elsevier |
Erscheinungsjahr: | 2019 |
Dokumenttyp: | Journalartikel / Zeitschriftenartikel |
Abstract: | 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. |
DOI der Erstveröffentlichung: | 10.1016/j.bios.2018.09.102 |
Link zu diesem Datensatz: | hdl:20.500.11880/27763 http://dx.doi.org/10.22028/D291-28878 |
ISSN: | 09565663 |
Datum des Eintrags: | 13-Sep-2019 |
Fakultät: | NT - Naturwissenschaftlich- Technische Fakultät |
Fachrichtung: | NT - Physik |
Professur: | NT - Prof. Dr. Karin Jacobs |
Sammlung: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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