001024148 001__ 1024148
001024148 005__ 20250204113815.0
001024148 0247_ $$2doi$$a10.3390/s24061945
001024148 0247_ $$2datacite_doi$$a10.34734/FZJ-2024-01990
001024148 0247_ $$2pmid$$a38544208
001024148 0247_ $$2WOS$$aWOS:001193533800001
001024148 037__ $$aFZJ-2024-01990
001024148 041__ $$aEnglish
001024148 082__ $$a620
001024148 1001_ $$00000-0001-9250-1686$$aEngelmann, Ulrich M.$$b0$$eCorresponding author
001024148 245__ $$aKey Contributors to Signal Generation in Frequency Mixing Magnetic Detection (FMMD): An In Silico Study
001024148 260__ $$aBasel$$bMDPI$$c2024
001024148 3367_ $$2DRIVER$$aarticle
001024148 3367_ $$2DataCite$$aOutput Types/Journal article
001024148 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1712573082_27763
001024148 3367_ $$2BibTeX$$aARTICLE
001024148 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001024148 3367_ $$00$$2EndNote$$aJournal Article
001024148 520__ $$aFrequency mixing magnetic detection (FMMD) is a sensitive and selective technique to detect magnetic nanoparticles (MNPs) serving as probes for binding biological targets. Its principle relies on the nonlinear magnetic relaxation dynamics of a particle ensemble interacting with a dual frequency external magnetic field. In order to increase its sensitivity, lower its limit of detection and overall improve its applicability in biosensing, matching combinations of external field parameters and internal particle properties are being sought to advance FMMD. In this study, we systematically probe the aforementioned interaction with coupled Néel–Brownian dynamic relaxation simulations to examine how key MNP properties as well as applied field parameters affect the frequency mixing signal generation. It is found that the core size of MNPs dominates their nonlinear magnetic response, with the strongest contributions from the largest particles. The drive field amplitude dominates the shape of the field-dependent response, whereas effective anisotropy and hydrodynamic size of the particles only weakly influence the signal generation in FMMD. For tailoring the MNP properties and parameters of the setup towards optimal FMMD signal generation, our findings suggest choosing large particles of core sizes dc > 25 nm nm with narrow size distributions (σ < 0.1) to minimize the required drive field amplitude. This allows potential improvements of FMMD as a stand-alone application, as well as advances in magnetic particle imaging, hyperthermia and magnetic immunoassays.
001024148 536__ $$0G:(DE-HGF)POF4-5241$$a5241 - Molecular Information Processing in Cellular Systems (POF4-524)$$cPOF4-524$$fPOF IV$$x0
001024148 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
001024148 7001_ $$0P:(DE-HGF)0$$aSimsek, Beril$$b1
001024148 7001_ $$0P:(DE-HGF)0$$aShalaby, Ahmed$$b2
001024148 7001_ $$0P:(DE-Juel1)128697$$aKrause, Hans-Joachim$$b3$$eCorresponding author
001024148 770__ $$aAdvances in Magnetic Sensors and Their Applications
001024148 773__ $$0PERI:(DE-600)2052857-7$$a10.3390/s24061945$$gVol. 24, no. 6, p. 1945 -$$n6$$p1945 -$$tSensors$$v24$$x1424-8220$$y2024
001024148 8564_ $$uhttps://juser.fz-juelich.de/record/1024148/files/Published%20paper.pdf$$yOpenAccess
001024148 8564_ $$uhttps://juser.fz-juelich.de/record/1024148/files/Published%20paper.gif?subformat=icon$$xicon$$yOpenAccess
001024148 8564_ $$uhttps://juser.fz-juelich.de/record/1024148/files/Published%20paper.jpg?subformat=icon-1440$$xicon-1440$$yOpenAccess
001024148 8564_ $$uhttps://juser.fz-juelich.de/record/1024148/files/Published%20paper.jpg?subformat=icon-180$$xicon-180$$yOpenAccess
001024148 8564_ $$uhttps://juser.fz-juelich.de/record/1024148/files/Published%20paper.jpg?subformat=icon-640$$xicon-640$$yOpenAccess
001024148 909CO $$ooai:juser.fz-juelich.de:1024148$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
001024148 9101_ $$0I:(DE-HGF)0$$60000-0001-9250-1686$$a FH Aachen$$b0
001024148 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a FH Aachen$$b1
001024148 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a FH Aachen$$b2
001024148 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)128697$$aForschungszentrum Jülich$$b3$$kFZJ
001024148 9131_ $$0G:(DE-HGF)POF4-524$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5241$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vMolecular and Cellular Information Processing$$x0
001024148 9141_ $$y2024
001024148 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2023-10-24
001024148 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
001024148 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2023-10-24
001024148 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2023-10-24
001024148 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001024148 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2023-10-24
001024148 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bSENSORS-BASEL : 2022$$d2024-12-18
001024148 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2024-12-18
001024148 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2024-12-18
001024148 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2024-04-10T15:28:10Z
001024148 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2024-04-10T15:28:10Z
001024148 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Anonymous peer review$$d2024-04-10T15:28:10Z
001024148 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2024-12-18
001024148 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2024-12-18
001024148 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2024-12-18
001024148 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences$$d2024-12-18
001024148 915__ $$0StatID:(DE-HGF)1160$$2StatID$$aDBCoverage$$bCurrent Contents - Engineering, Computing and Technology$$d2024-12-18
001024148 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2024-12-18
001024148 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2024-12-18
001024148 920__ $$lyes
001024148 9201_ $$0I:(DE-Juel1)IBI-3-20200312$$kIBI-3$$lBioelektronik$$x0
001024148 980__ $$ajournal
001024148 980__ $$aVDB
001024148 980__ $$aUNRESTRICTED
001024148 980__ $$aI:(DE-Juel1)IBI-3-20200312
001024148 9801_ $$aFullTexts