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WeightNameValue
1000 Titel
  • Novel Cost-Efficient Graphene-Based Impedance Biosensor for the Analysis of Viral Cytopathogenicity and the Effect of Antiviral Drugs
1000 Autor/in
  1. Schultz, Anke |
  2. Knoll, Thorsten |
  3. Urban, Andreas |
  4. Schuck, Herbert |
  5. von Briesen, Hagen |
  6. Germann, Anja |
  7. Velten, Thomas |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-07-26
1000 Erschienen in
1000 Quellenangabe
  • 9:718889
1000 Copyrightjahr
  • 2021
1000 Embargo
  • 2022-01-28
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3389/fbioe.2021.718889 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350578/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Abstract/Summary
  • <jats:p>Biosensors become increasingly relevant for medical diagnostics, pharmaceutical industry, and environmental technology, for example, to test new drugs easily and reliably or to detect cell growth in changing environmental conditions. Novel materials like graphene are promising candidates to produce biosensors on an industrial scale by means of printing processes. To reach this aim, methods for the reliable and automated production of electrode structures and their coating are required. We present an impedance biosensor in the format of a microtiter plate, fabricated by highly efficient roll-to-roll printing of graphene-based microstructures on large-area polymer foils. Proof-of-principle experiments show the evidence of the suitability of the printed graphene biosensors for impedance-based monitoring of viral cytopathogenicity and its inhibition in the presence of antiviral drugs. The developed system is a promising approach toward cost-efficient impedimetric biosensors for high-throughput screening in vaccine research and antiviral drug development.</jats:p>
1000 Sacherschließung
lokal graphene ink
lokal antiviral drugs
lokal Bioengineering and Biotechnology
lokal viral cytopathogenicity
lokal gravure printing
lokal impedance biosensor
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/U2NodWx0eiwgQW5rZQ==|https://frl.publisso.de/adhoc/uri/S25vbGwsIFRob3JzdGVu|https://frl.publisso.de/adhoc/uri/VXJiYW4sIEFuZHJlYXM=|https://frl.publisso.de/adhoc/uri/U2NodWNrLCBIZXJiZXJ0|https://frl.publisso.de/adhoc/uri/dm9uIEJyaWVzZW4sIEhhZ2Vu|https://frl.publisso.de/adhoc/uri/R2VybWFubiwgQW5qYQ==|https://frl.publisso.de/adhoc/uri/VmVsdGVuLCBUaG9tYXM=
1000 Hinweis
  • DeepGreen-ID: 9bdb7b8ccff7413bac49c014db8c77d0 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. Bundesministerium für Bildung und Forschung |
  2. Innovate UK |
1000 Fördernummer
  1. -
  2. -
1000 Förderprogramm
  1. -
  2. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Bundesministerium für Bildung und Forschung |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Innovate UK |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6475922.rdf
1000 Erstellt am 2024-05-14T08:55:08.102+0200
1000 Erstellt von 322
1000 beschreibt frl:6475922
1000 Zuletzt bearbeitet 2024-05-15T08:48:13.266+0200
1000 Objekt bearb. Wed May 15 08:48:13 CEST 2024
1000 Vgl. frl:6475922
1000 Oai Id
  1. oai:frl.publisso.de:frl:6475922 |
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