001     1005147
005     20240722100640.0
024 7 _ |a 10.1021/acssensors.2c00728
|2 doi
024 7 _ |a 35801574
|2 pmid
024 7 _ |a WOS:000828468100001
|2 WOS
037 _ _ |a FZJ-2023-01335
082 _ _ |a 570
100 1 _ |a Weiß, Lennart JK
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Prototype Digital Lateral Flow Sensor Using Impact Electrochemistry in a Competitive Binding Assay
260 _ _ |a Washington, DC
|c 2022
|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 1721134964_10765
|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
520 _ _ |a This work demonstrates a lateral flow assay concept on the basis of stochastic-impact electrochemistry. To this end, we first elucidate requirements to employ silver nanoparticles as redox-active labels. Then, we present a prototype that utilizes nanoimpacts from biotinylated silver nanoparticles as readouts to detect free biotin in solution based on competitive binding. The detection is performed in a membrane-based microfluidic system, where free biotin and biotinylated particles compete for streptavidin immobilized on embedded latex beads. Excess nanoparticles are then registered downstream at an array of detection electrodes. In this way, we establish a proof of concept that serves as a blueprint for future “digital” lateral flow sensors.
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
650 2 7 |a Chemistry
|0 V:(DE-MLZ)SciArea-110
|2 V:(DE-HGF)
|x 0
700 1 _ |a Rinklin, Philipp
|0 P:(DE-Juel1)140264
|b 1
700 1 _ |a Thakur, Bhawana
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Music, Emir
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Url, Heike
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Kopic, Inola
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Hoven, Darius
|0 P:(DE-HGF)0
|b 6
700 1 _ |a Banzet, Marko
|0 P:(DE-HGF)0
|b 7
700 1 _ |a von Trotha, Tassilo
|0 P:(DE-HGF)0
|b 8
700 1 _ |a Mayer, Dirk
|0 P:(DE-Juel1)128707
|b 9
|e Corresponding author
700 1 _ |a Wolfrum, Bernhard
|0 P:(DE-Juel1)128745
|b 10
773 _ _ |a 10.1021/acssensors.2c00728
|0 PERI:(DE-600)2843497-3
|n 7
|p 1967-1976
|t ACS sensors
|v 7
|y 2022
|x 2379-3694
856 4 _ |u https://juser.fz-juelich.de/record/1005147/files/acssensors.2c00728.pdf
|y Restricted
909 C O |o oai:juser.fz-juelich.de:1005147
|p VDB
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 9
|6 P:(DE-Juel1)128707
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
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b ACS SENSORS : 2021
|d 2022-11-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2022-11-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2022-11-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2022-11-26
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2022-11-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2022-11-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2022-11-26
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2022-11-26
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b ACS SENSORS : 2021
|d 2022-11-26
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