Next Article in Journal
The Use of the LanthaScreen TR-FRET CAR Coactivator Assay in the Characterization of Constitutive Androstane Receptor (CAR) Inverse Agonists
Previous Article in Journal
Visual Object Recognition with 3D-Aware Features in KITTI Urban Scenes
Previous Article in Special Issue
Rapid Immunoenzyme Assay of Aflatoxin B1 Using Magnetic Nanoparticles
Article Menu

Export Article

Open AccessArticle
Sensors 2015, 15(4), 9251-9264; doi:10.3390/s150409251

Modeling of Nanoparticular Magnetoresistive Systems and the Impact on Molecular Recognition

1
Bielefeld Institute for Applied Materials Research, Computational Materials Science and Engineering, University of Applied Sciences Bielefeld, Wilhelm-Bertelsmann-Str. 10, Bielefeld 33602, Germany
2
Center for Spinelectronic Materials and Devices, Department of Physics, Bielefeld University, P.O. 100131, Bielefeld 33501, Germany
*
Author to whom correspondence should be addressed.
Academic Editor: Evangelyn C. Alocilja
Received: 27 February 2015 / Revised: 7 April 2015 / Accepted: 14 April 2015 / Published: 20 April 2015
(This article belongs to the Special Issue Nanoparticle-Based Biosensors)
View Full-Text   |   Download PDF [2943 KB, uploaded 20 April 2015]   |  

Abstract

The formation of magnetic bead or nanoparticle superstructures due to magnetic dipole dipole interactions can be used as configurable matter in order to realize low-cost magnetoresistive sensors with very high GMR-effect amplitudes. Experimentally, this can be realized by immersing magnetic beads or nanoparticles in conductive liquid gels and rearranging them by applying suitable external magnetic fields. After gelatinization of the gel matrix the bead or nanoparticle positions are fixed and the resulting system can be used as a magnetoresistive sensor. In order to optimize such sensor structures we have developed a simulation tool chain that allows us not only to study the structuring process in the liquid state but also to rigorously calculate the magnetoresistive characteristic curves for arbitrary nanoparticle arrangements. As an application, we discuss the role of magnetoresistive sensors in finding answers to molecular recognition. View Full-Text
Keywords: hybrid combination of classical spin dynamics and molecular dynamics simulations; nanoparticular GMR-effect; sensor based determination of association and dissociation constants in molecular recognition hybrid combination of classical spin dynamics and molecular dynamics simulations; nanoparticular GMR-effect; sensor based determination of association and dissociation constants in molecular recognition
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Teich, L.; Kappe, D.; Rempel, T.; Meyer, J.; Schröder, C.; Hütten, A. Modeling of Nanoparticular Magnetoresistive Systems and the Impact on Molecular Recognition. Sensors 2015, 15, 9251-9264.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top