Inherently Electroactive Graphene Oxide Nanoplatelets As Labels for Single Nucleotide Polymorphism Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22310%2F12%3A43893564" target="_blank" >RIV/60461373:22310/12:43893564 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1021/nn301359y" target="_blank" >http://dx.doi.org/10.1021/nn301359y</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1021/nn301359y" target="_blank" >10.1021/nn301359y</a>
Alternative languages
Result language
angličtina
Original language name
Inherently Electroactive Graphene Oxide Nanoplatelets As Labels for Single Nucleotide Polymorphism Detection
Original language description
Graphene materials are being widely used in electrochemistry due to their versatility and excellent properties as platforms for biosensing. However, no records show the use of inherent redox properties of graphene oxide as a label for detection. Here forthe first time we used graphene oxide nanoplatelets (GONPs) as electroactive labels for DNA analysis. The working signal comes from the reduction of he oxygen-containing groups present on the surface of GONPs. The different ability of the graphene oxidenanoplatelets to conjugate to DNA hybrids obtained with complementary, noncomplementary, and one-mismatch sequences allows the discrimination of single-nucleotide polymorphism correlated with Alzheimer's disease. We believe that our findings are very important to open a new route in the use of graphene oxide in electrochemistry.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
CA - Inorganic chemistry
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ACS Nano
ISSN
1936-0851
e-ISSN
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Volume of the periodical
64
Issue of the periodical within the volume
10
Country of publishing house
US - UNITED STATES
Number of pages
6
Pages from-to
8546-8551
UT code for WoS article
000310096100011
EID of the result in the Scopus database
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