Planar hall effect and inagnetoresistance in hall sensors

Author(s):  
M. Morvic ◽  
J. Betko
2020 ◽  
Vol 117 (22) ◽  
pp. 222403
Author(s):  
Liangcai Xu ◽  
Xiaokang Li ◽  
Linchao Ding ◽  
Kamran Behnia ◽  
Zengwei Zhu

2021 ◽  
Vol 118 (24) ◽  
pp. 241901
Author(s):  
Archit Bhardwaj ◽  
Syam Prasad P. ◽  
Karthik V. Raman ◽  
Dhavala Suri

2021 ◽  
Vol 6 (1) ◽  
pp. 47
Author(s):  
Julian Schütt ◽  
Rico Illing ◽  
Oleksii Volkov ◽  
Tobias Kosub ◽  
Pablo Nicolás Granell ◽  
...  

The detection, manipulation, and tracking of magnetic nanoparticles is of major importance in the fields of biology, biotechnology, and biomedical applications as labels as well as in drug delivery, (bio-)detection, and tissue engineering. In this regard, the trend goes towards improvements of existing state-of-the-art methodologies in the spirit of timesaving, high-throughput analysis at ultra-low volumes. Here, microfluidics offers vast advantages to address these requirements, as it deals with the control and manipulation of liquids in confined microchannels. This conjunction of microfluidics and magnetism, namely micro-magnetofluidics, is a dynamic research field, which requires novel sensor solutions to boost the detection limit of tiny quantities of magnetized objects. We present a sensing strategy relying on planar Hall effect (PHE) sensors in droplet-based micro-magnetofluidics for the detection of a multiphase liquid flow, i.e., superparamagnetic aqueous droplets in an oil carrier phase. The high resolution of the sensor allows the detection of nanoliter-sized superparamagnetic droplets with a concentration of 0.58 mg cm−3, even when they are only biased in a geomagnetic field. The limit of detection can be boosted another order of magnitude, reaching 0.04 mg cm−³ (1.4 million particles in a single 100 nL droplet) when a magnetic field of 5 mT is applied to bias the droplets. With this performance, our sensing platform outperforms the state-of-the-art solutions in droplet-based micro-magnetofluidics by a factor of 100. This allows us to detect ferrofluid droplets in clinically and biologically relevant concentrations, and even in lower concentrations, without the need of externally applied magnetic fields.


2013 ◽  
Vol 40 (1) ◽  
pp. 147-152 ◽  
Author(s):  
F.W. Østerberg ◽  
G. Rizzi ◽  
T. Zardán Gómez de la Torre ◽  
M. Strömberg ◽  
M. Strømme ◽  
...  

2003 ◽  
Vol 90 (10) ◽  
Author(s):  
H. X. Tang ◽  
R. K. Kawakami ◽  
D. D. Awschalom ◽  
M. L. Roukes

2017 ◽  
Vol 119 (17) ◽  
Author(s):  
S. Nandy ◽  
Girish Sharma ◽  
A. Taraphder ◽  
Sumanta Tewari

2021 ◽  
Vol 9 (1) ◽  
pp. 28
Author(s):  
Federico Hahn ◽  
Juan Espinoza ◽  
Ulises Zacarías

Mango is one of the main fruits grown in Mexico that are exported worldwide, but the trees consume a lot of water, and irrigation scheduling should be implemented to optimize water use. Dendrometers were installed in fruit trees to optimize water usage during 2019 and 2020. A capacitor with Teflon clamps pressurized the leaf, and its dielectric changed with leaf water content. Additionally, Hall sensors were installed in leaves to study the effect of water during mango production. It was found that capacitance tend to be more sensitive than magnetic field monitoring. Higher changes were noted during midday with warm weather. Thresholds from the capacitance and Hall effect sensors can provide signals for irrigation scheduling.


2019 ◽  
Vol 13 (2) ◽  
pp. 254-261
Author(s):  
William Alejandro López-Contreras ◽  
José Danilo Rairán-Antolines

We present the design of a magnetic encoder to measure angular position. The proposed encoder includes two Hall sensors in quadrature in a fixed platform. In addition, and over the sensors, there are two permanent magnets in a shaft. The relative motion between the fixed and the movable components generate a voltage variation in the sensors, which serve to generate the approximation of the angular position. We detail the acquisition process and the linearization method, because we consider that these are the most important contributions of this work. Lastly, we show the application of the encoder in the position control of a direct current motor to show the performance of the encoder estimating fast and slow angular position changes.


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