001     903791
005     20230113085400.0
024 7 _ |a 10.1021/acsaelm.0c00968
|2 doi
024 7 _ |a WOS:000613935300042
|2 WOS
037 _ _ |a FZJ-2021-05426
082 _ _ |a 620
100 1 _ |a Medhat, Ahmed
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Graphene Nanoplatelet–Au Nanoparticle Hybrid as a Capacitive-Metal–Oxide–Semiconductor pH Sensor
260 _ _ |a Washington, DC
|c 2021
|b ACS Publications
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1671619793_30681
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a Kein Post-print vorhanden
520 _ _ |a pH sensors, with high sensitivity, durability, and low cost, are considered to be essential tools in several applications such as laboratory experiments, water quality, agriculture, and healthcare. Because of their unique properties, carbon allotropes have attracted a lot of attention during the last decade to be utilized in several applications, in which pH sensing is one of them. In this work, a hybrid film of graphene nanoplatelets (GPs) and gold nanoparticles (GNPs), where the GNPs are embedded in the GP layer, was used as an active layer in an electronic pH senor based on a capacitive metal oxide semiconductor. Capacitance–voltage measurements have shown a change in the flatband voltage with changing the applied pH. The sensitivity of the GP–Au nanoparticle hybrid (GAH) film has been enhanced by a factor of 26.7% compared to the GP film. We refer the higher sensitivity to the increase in the surface potential of the GAH, which became n-doped by the Au nanoparticles, resulting in a change of the Fermi level of the GP layer. This sensor is easy to fabricate and demonstrates sensitivity that is higher than previously reported electronic pH sensitivities using different configurations.
536 _ _ |a 5241 - Molecular Information Processing in Cellular Systems (POF4-524)
|0 G:(DE-HGF)POF4-5241
|c POF4-524
|f POF IV
|x 0
588 _ _ |a Dataset connected to DataCite
700 1 _ |a Salah, Dina
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Boichuk, Nazarii
|0 P:(DE-Juel1)171802
|b 2
700 1 _ |a Hassan, Ibrahim
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Vitusevich, Svetlana
|0 P:(DE-Juel1)128738
|b 4
700 1 _ |a Kasry, Amal
|0 0000-0002-8130-8693
|b 5
|e Corresponding author
773 _ _ |a 10.1021/acsaelm.0c00968
|g Vol. 3, no. 1, p. 430 - 436
|0 PERI:(DE-600)2949097-2
|n 1
|p 430 - 436
|t ACS applied electronic materials
|v 3
|y 2021
|x 2637-6113
856 4 _ |u https://juser.fz-juelich.de/record/903791/files/acsaelm.0c00968.pdf
|y Restricted
909 C O |o oai:juser.fz-juelich.de:903791
|p VDB
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)171802
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)128738
910 1 _ |a External Institute
|0 I:(DE-HGF)0
|k Extern
|b 5
|6 0000-0002-8130-8693
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-524
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Molecular and Cellular Information Processing
|9 G:(DE-HGF)POF4-5241
|x 0
914 1 _ |y 2021
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2020-09-09
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2020-09-09
915 _ _ |a WoS
|0 StatID:(DE-HGF)0112
|2 StatID
|b Emerging Sources Citation Index
|d 2020-09-09
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2020-09-09
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IBI-3-20200312
|k IBI-3
|l Bioelektronik
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)IBI-3-20200312
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21