Literature DB >> 22324366

Solution-gated graphene field effect transistors integrated in microfluidic systems and used for flow velocity detection.

Rong Xiang He1, Peng Lin, Zhi Ke Liu, Hong Wei Zhu, Xing Zhong Zhao, Helen L W Chan, Feng Yan.   

Abstract

Solution-gated graphene field effect transistors (SGGT) were integrated in microfluidic systems. The transfer characteristics of a SGGT with an Ag/AgCl gate electrode shifted horizontally with the change of the ionic concentration of KCl solution in the microchannel and the relationship can be fitted with the Nernst equation, which was attributed to the change of the potential drop at the Ag/AgCl electrode. Therefore the gate electrode is one important factor for the ion sensitive property of the SGGT. Then SGGTs were used as flow velocity sensors, which were based on measuring the streaming potentials in microfluidic channels. A linear relationship between the shift of the transfer curve of the SGGT and the flow velocity was obtained, indicating that the SGGT is a promising transducer for measuring flow velocity in a microchip. Since the streaming potential is influenced by the three physical quantities, including the flow velocity, the ionic strength of the fluid and the zeta potential of the substrate, the device can be used for sensing any one of the three quantities when the other two were known. It is noteworthy that SGGTs have been used for various types of chemical and biological sensors. Array of the devices integrated in multichannel microchips are expected to find many important applications in the lab-on-a-chip systems in the future.
© 2012 American Chemical Society

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Year:  2012        PMID: 22324366     DOI: 10.1021/nl2040805

Source DB:  PubMed          Journal:  Nano Lett        ISSN: 1530-6984            Impact factor:   11.189


  8 in total

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Journal:  Sci Rep       Date:  2012-11-30       Impact factor: 4.379

7.  SnSe2 Quantum Dots: Facile Fabrication and Application in Highly Responsive UV-Detectors.

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8.  A Hybrid Microfluidic Electronic Sensing Platform for Life Science Applications.

Authors:  Abbas Panahi; Ebrahim Ghafar-Zadeh
Journal:  Micromachines (Basel)       Date:  2022-03-10       Impact factor: 2.891

  8 in total

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