Detection of 10-nm Superparamagnetic Iron Oxide Nanoparticles Using Exchange-Biased GMR Sensors in Wheatstone Bridge

Li, L.; Mak, K. Y.; Leung, Chi Wah; Ng, S.W.; Lei, Zhouyue; Pong, Philip W. T.

doi:10.1109/tmag.2013.2237889

Cited by 33 publications

(15 citation statements)

References 16 publications

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“…The detailed detection procedure has been described in our previous work [24] and other reports. [12,14] The direct current (DC) in-plane measuring method was employed using a home-made detection device in this study. [24] A Keithley 2400 source meter provided a constant current for the sensor as the detecting current, and a Keithley 2182 digital nanovoltmeter measured the V out of the Wheatstone bridge.…”

Section: Methodsmentioning

confidence: 99%

“…Obviously, the performances of the detection system, e.g., concentration detection range, sensitivity, etc., are mainly dominated by the sensitivity of sensors and the magnetic properties of magnetic labels, so researchers improved the performances of the system from both aspects above. Up to now, magnetic field sensitive sensors have been widely explored, such as superconducting quantum interference device (SQUID), [2,3] silicon Hall sensor, [4] magnetic planar Hall effect sensor, [5] giant magnetoresistive (GMR) sensor, [1,[6][7][8][9][10][11][12][13][14][15][16] magnetic tunnel junction (MTJ) sensor, [17] and so on. Comparing with other sensors, GMR sensor is one of the prime candidates for magnetic biosensor because it shows some advantages, such as inexpensive, high sensitivity, easy to be integrated with Si-based integration circuits (IC).…”

Section: Introductionmentioning

confidence: 99%

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Ultralow detection limit of giant magnetoresistance biosensor using ${\mathrm{Fe}}_{3}{{\rm{O}}}_{4}$ graphene composite nanoparticle label

Jiao

et al. 2017

Chinese Phys. B

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A special Fe 3 O 4 nanoparticles-graphene (Fe 3 O 4 -GN) composite as a magnetic label was employed for biodetection using giant magnetoresistance (GMR) sensors with a Wheatstone bridge. The Fe 3 O 4 -GN composite exhibits a strong ferromagnetic behavior with the saturation magnetization M S of approximately 48 emu/g, coercivity H C of 200 Oe, and remanence M r of 8.3 emu/g, leading to a large magnetic fringing field. However, the Fe 3 O 4 nanoparticles do not aggregate together, which can be attributed to the pinning and separating effects of graphene sheet to the magnetic particles. The Fe 3 O 4 -GN composite is especially suitable for biodetection as a promising magnetic label since it combines two advantages of large fringing field and no aggregation. As a result, the concentration x dependence of voltage difference |∆V | between detecting and reference sensors undergoes the relationship of |∆V | = 240.5 lg x + 515.2 with an ultralow detection limit of 10 ng/mL (very close to the calculated limit of 7 ng/mL) and a wide detection range of 4 orders.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ultralow detection limit of giant magnetoresistance biosensor using ${\mathrm{Fe}}_{3}{{\rm{O}}}_{4}$ graphene composite nanoparticle label

Jiao

et al. 2017

Chinese Phys. B

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“…Spintronicbased devices have become powerful tools for highly sensitive and rapid biological detections. The spintronic biodetection technology aims at sensing the concentration of target analyte molecules in solution, such as DNAs and proteins [92]. In the spintronic biodetection process, magnetic labels are utilized to tag the target analyte molecules, and then spintronic sensors are used to detect the magnetic signals generated from the labels [93].…”

Section: Biodetectionmentioning

confidence: 99%

Overview of Spintronic Sensors With Internet of Things for Smart Living

et al. 2019

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Smart living is a trending lifestyle that envisions lower energy consumption, sound public services, and better quality of life for human being. The Internet of Things (IoT) is a compelling platform connecting various sensors around us to the Internet, providing great opportunities for the realization of smart living. Spintronic sensors with superb measuring ability and multiple unique advantages can be an important piece of cornerstone for IoT. In this review, we discuss successful applications of spintronic sensors in electrical current sensing, transmission and distribution lines monitoring, vehicle detection, and biodetection. Traditional monitoring systems with limited sensors and wired communication can merely collect fragmented data in the application domains. In this paper, the wireless spintronic sensor networks (WSSNs) will be proposed and illustrated to provide pervasive monitoring systems, which facilitate the intelligent surveillance and management over building, power grid, transport, and healthcare. The database of collected information will be of great use to the policy making in public services and city planning. This work provides insights for realizing smart living through the integration of IoT with spintronic sensor technology.

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“…Meanwhile, the response of two adjacent resistive elements should be asymmetric to external fields to constitute a differential circuit, as shown in Fig. 1 (a) [13,14].…”

Section: Introductionmentioning

confidence: 99%

Tuning the pinning direction of giant magnetoresistive sensor by post annealing process

Cao

Wei

Chen

et al. 2021

Sci. China Inf. Sci.

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The Internet of Things has created an increasing demand for Giant magnetoresistive (GMR) sensor due to its high sensitivity, low power-consumption and small size. A full Wheatstone bridge GMR sensor is fabricated on 6-inch wafers with annealing process on patterned devices. It can be observed that GMR resistors could have different pinning directions in one wafer by magnetic resistance measurements and MATLAB simulations. The full Wheatstone bridge device shows a sensitivity of 2 mV /V /mT in a linear range of ± 6 mT , and its angular response to surrounding magnetic field is as low as 0.08 mT . These results demonstrate a new approach to high-sensitive and low-cost GMR sensors with controllable post annealing process.

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Detection of 10-nm Superparamagnetic Iron Oxide Nanoparticles Using Exchange-Biased GMR Sensors in Wheatstone Bridge

Cited by 33 publications

References 16 publications

Ultralow detection limit of giant magnetoresistance biosensor using ${\mathrm{Fe}}_{3}{{\rm{O}}}_{4}$ graphene composite nanoparticle label

Ultralow detection limit of giant magnetoresistance biosensor using ${\mathrm{Fe}}_{3}{{\rm{O}}}_{4}$ graphene composite nanoparticle label

Overview of Spintronic Sensors With Internet of Things for Smart Living

Tuning the pinning direction of giant magnetoresistive sensor by post annealing process

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