001     1019318
005     20231213202052.0
037 _ _ |a FZJ-2023-05292
041 _ _ |a English
100 1 _ |a Eivazi, Faranak
|0 P:(DE-Juel1)186710
|b 0
|e Corresponding author
|u fzj
111 2 _ |a DPG-Frühjahrstagung, Sektion Kondensierte Materie
|g SKM
|c Dresden
|d 2023-03-26 - 2023-03-31
|w Germany
245 _ _ |a Biomarker detection using Frequency Mixing Magnetic Detection Technique
260 _ _ |c 2023
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a INPROCEEDINGS
|2 BibTeX
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a CONFERENCE_POSTER
|2 ORCID
336 7 _ |a Output Types/Conference Poster
|2 DataCite
336 7 _ |a Poster
|b poster
|m poster
|0 PUB:(DE-HGF)24
|s 1702453029_3807
|2 PUB:(DE-HGF)
|x Other
520 _ _ |a The electrolyte-insulator-semiconductor sensor (EIS) provides a promising technique for the electrical detection of biomarkers by their intrinsic electrical charge. Due to the charge-screening effect, EIS sensors are less sensitive when samples contain multiple charged species. Our study combines the EIS sensor with the frequency mixing magnetic detection (FMMD) technique to improve functionality and produce more reliable results. The principle of the dual-modality technique is to use superparamagnetic nanoparticles (SPNs) as receptor carriers and pull them towards the surface of the EIS with an external magnet. FMMD exposes SPNs to both low-frequency and high-frequency magnetic fields. The magnetic response of SPNs induces a voltage in the detection coil. The hydrodynamic radius of SPNs can be determined by observing a phase shift toward lower frequencies caused by the Brownian relaxation of the particles. The target can be confirmed when both techniques detect it in a sample. As a result of this dual-modality technique, selectivity and sensitivity can be highly improved.
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
536 _ _ |a DFG project 445454801 - Kombinierter Feldeffekt-/Magnet-Immunsensor-Chip für den markierungsfreien Nachweise von Biomarkern (FEMIC) (445454801)
|0 G:(GEPRIS)445454801
|c 445454801
|x 1
700 1 _ |a Krause, Hans-Joachim
|0 P:(DE-Juel1)128697
|b 1
|u fzj
909 C O |o oai:juser.fz-juelich.de:1019318
|p VDB
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)186710
910 1 _ |a Forschungszentrum Jülich
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|6 P:(DE-Juel1)128697
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 2023
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IBI-3-20200312
|k IBI-3
|l Bioelektronik
|x 0
980 _ _ |a poster
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)IBI-3-20200312
980 _ _ |a UNRESTRICTED


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