GMR biosensing with magnetic nanowires as labels for the detection of osteosarcoma cells

Diqing Su, Joseph Um, Julian Moreno, Zohreh Nemati Porshokouh, Karthik Srinivasan, Chen Yang, Reza Zamani, Daniel Shore, Kai Wu, Jürgen Kosel, Jaime F. Modiano, Rhonda Franklin, Jianping Wang, Bethanie Stadler

Research output: Contribution to journalArticlepeer-review

Abstract

Magnetic nanowires (MNWs) were explored as potential magnetic tags for cell detection with giant magnetoresistance (GMR) biosensors based on a handheld system. Due to size, shape anisotropy and higher moment materials, the signal detected from a single MNW was 2500 times larger than that from a single magnetic iron oxide nanobead, which is important for ultra-low concentration cell detection. A model was used to determine how the MNW orientation with respect to the GMR sensor impacts detection performance, and the results aligned well with the experimental results. As a proof of concept OSCA-8 cells tagged with Ni MNWs were also detected using the same handheld system. The limit of detection (LOD) in aqueous solution appeared to be 133 cells, and single-cell detection can be realized if the cell is in direct contact with the sensor surface. Since MNWs are already employed in magnetic separation of cells, directly using MNWs as tags in cell detection eliminates the need of additional functionalization with other labels. This largely simplifies the detection process and reduces the risk of contamination during sample preparation.

Original languageEnglish (US)
Article number114115
JournalSensors and Actuators A: Physical
Volume350
DOIs
StatePublished - Feb 1 2023

Bibliographical note

Funding Information:
This work was supported by MNDrive: OVPR STEMMA program, Institute of Engineering in Medicine of the University of Minnesota , National Science Foundation MRSEC facility program, the Distinguished McKnight University Professorship, Centennial Chair Professorship, Robert F Hartmann Endowed Chair, Alvin and June Perlman Endowed Chair in Animal Oncology, the Skippy Frank Fund for Life Sciences and Translational Research, Morris Animal Foundation Grant D15CA-047 , the Animal Cancer Care and Research Program of the University of Minnesota, and UROP program from the University of Minnesota. Support was also provided by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No. OSR-2016-CRG5–2956 . We also acknowledge XPRIZE Foundation and Nokia Sensing XCHALLENGE competition for motivating the design of the Z-Lab Diagnosis Platform which won Distinguished Prize Award. Portions of this work were conducted in the Minnesota Nano Center, which is supported by the National Science Foundation through the National Nano Coordinated Infrastructure Network ( NNCI ) under Award Number ECCS-1542202 . Parts of this work were carried out in the Characterization Facility, University of Minnesota, a member of the NSF-funded Materials Research Facilities Network ( www.mrfn.org ) via the MRSEC program.

Funding Information:
This work was supported by MNDrive: OVPR STEMMA program, Institute of Engineering in Medicine of the University of Minnesota, National Science Foundation MRSEC facility program, the Distinguished McKnight University Professorship, Centennial Chair Professorship, Robert F Hartmann Endowed Chair, Alvin and June Perlman Endowed Chair in Animal Oncology, the Skippy Frank Fund for Life Sciences and Translational Research, Morris Animal Foundation Grant D15CA-047, the Animal Cancer Care and Research Program of the University of Minnesota, and UROP program from the University of Minnesota. Support was also provided by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No. OSR-2016-CRG5–2956. We also acknowledge XPRIZE Foundation and Nokia Sensing XCHALLENGE competition for motivating the design of the Z-Lab Diagnosis Platform which won Distinguished Prize Award. Portions of this work were conducted in the Minnesota Nano Center, which is supported by the National Science Foundation through the National Nano Coordinated Infrastructure Network (NNCI) under Award Number ECCS-1542202. Parts of this work were carried out in the Characterization Facility, University of Minnesota, a member of the NSF-funded Materials Research Facilities Network (www.mrfn.org) via the MRSEC program.

Publisher Copyright:
© 2022 Elsevier B.V.

Keywords

  • Angular dependence
  • Biosensors
  • Cell detection
  • Giant magnetoresistance (GMR)
  • Magnetic nanowires

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