Literature DB >> 29623308

Novel Supercapacitor-Based Force Sensor Insensitive to Parasitic Noise.

Ye Zhang1, Rajesh Rajamani1, Serdar Sezen2.   

Abstract

Traditional capacitive sensors suffer from significant parasitic noise when used in liquid environments or inside the human body. The parasitic noise overwhelms the force response of the sensor and makes it impossible to calculate the absolute force experienced by the sensor. This article focuses on the development of a supercapacitor based force sensor that is immune to parasitic noise. The supercapacitor consists of co-planar electrodes and a solid state ionic gel electrolyte on a deformable membrane. Force exertion causes deformation of the electrolyte membrane, increases its area of contact with the electrodes, resulting in a change of capacitance. The sensor is sealed, waterproof, and shows absolutely no changes in capacitance when immersed in water or enclosed in extracted sheep tissue. At the same time, its force sensitivity of 0.13 μ F/N exceeds the 0.3 pF/N sensitivity of a traditional capacitive sensor by 6 orders of magnitude. The developed sensor could have many biomedical applications in which parasitic capacitance is a serious challenge.

Entities:  

Keywords:  Supercapacitors; force sensors; liquid environment; parasitic capacitance

Year:  2017        PMID: 29623308      PMCID: PMC5880046          DOI: 10.1109/LSENS.2017.2766198

Source DB:  PubMed          Journal:  IEEE Sens Lett


  3 in total

1.  Flexible transparent iontronic film for interfacial capacitive pressure sensing.

Authors:  Baoqing Nie; Ruya Li; Jennifer Cao; James D Brandt; Tingrui Pan
Journal:  Adv Mater       Date:  2015-09-01       Impact factor: 30.849

2.  Flexible Distributed Pressure Sensing Strip for a Urethral Catheter.

Authors:  Mahdi Ahmadi; Rajesh Rajamani; Gerald Timm; A S Sezen
Journal:  J Microelectromech Syst       Date:  2015-11-25       Impact factor: 2.417

3.  Graphene-based supercapacitor with carbon nanotube film as highly efficient current collector.

Authors:  Marco Notarianni; Jinzhang Liu; Francesca Mirri; Matteo Pasquali; Nunzio Motta
Journal:  Nanotechnology       Date:  2014-10-10       Impact factor: 3.874

  3 in total

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