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

doi:10.1016/j.sna.2022.114115

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 journal › Article › peer-review

8 Scopus citations

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 language	English (US)
Article number	114115
Journal	Sensors and Actuators A: Physical
Volume	350
DOIs	https://doi.org/10.1016/j.sna.2022.114115
State	Published - 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

MRSEC Support

MRFN

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.sna.2022.114115

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title = "GMR biosensing with magnetic nanowires as labels for the detection of osteosarcoma cells",

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.",

keywords = "Angular dependence, Biosensors, Cell detection, Giant magnetoresistance (GMR), Magnetic nanowires",

author = "Diqing Su and Joseph Um and Julian Moreno and {Nemati Porshokouh}, Zohreh and Karthik Srinivasan and Chen Yang and Reza Zamani and Daniel Shore and Kai Wu and J{\"u}rgen Kosel and Modiano, {Jaime F.} and Rhonda Franklin and Jianping Wang and Bethanie Stadler",

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: {\textcopyright} 2022 Elsevier B.V.",

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AU - Um, Joseph

AU - Moreno, Julian

AU - Nemati Porshokouh, Zohreh

AU - Srinivasan, Karthik

AU - Yang, Chen

AU - Zamani, Reza

AU - Shore, Daniel

AU - Wu, Kai

AU - Kosel, Jürgen

AU - Modiano, Jaime F.

AU - Franklin, Rhonda

AU - Wang, Jianping

AU - Stadler, Bethanie

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PY - 2023/2/1

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N2 - 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.

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

Abstract

Bibliographical note

Keywords

MRSEC Support

UN SDGs

Publisher link

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MRSEC SEED Projects DMR-2011401

University of Minnesota Materials Research Science and Engineering Center (DMR-2011401)

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