Carbon nanotube-graphene hybrid transparent conductor and field effect transistor
US-9177688-B2 · Nov 3, 2015 · US
US9678036B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9678036-B2 |
| Application number | US-201414209620-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 13, 2014 |
| Priority date | Mar 15, 2013 |
| Publication date | Jun 13, 2017 |
| Grant date | Jun 13, 2017 |
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A graphene sensor and method for selective sensing of vapors, gases and biological agents are disclosed. The graphene sensor can include a substrate; a dielectric substrate on an upper layer of the substrate; a layer of graphene on an upper layer of the dielectric substrate; and a source and drain contact on an upper surface of the layer of graphene. The method for detection of vapors, gases and biological objects with low frequency input as a sensing parameter can include exposing a graphene device to at least one vapor, gas, and/or biological object, the graphene device comprising: a substrate; a dielectric substrate on an upper layer of the substrate, a layer of graphene on an upper layer of the dielectric substrate, and a source and drain contact on an upper surface of the layer of graphene; and measuring a change in a noise spectra of the graphene device.
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What is claimed is: 1. A graphene sensor for selective sensing of vapors, gases and biological agents, the graphene sensor comprising: a substrate; a dielectric substrate on an upper layer of the substrate; a layer of graphene on an upper layer of the dielectric substrate; a source and drain contact on an upper surface of the layer of graphene; a pre-amplifier configured to amplify current fluctuations; and a low-pass and/or a high-pass filter configured to pass the amplified current fluctuations for analyzation. 2. The graphene sensor of claim 1 , wherein the layer of graphene is single layer graphene (SLG). 3. The graphene sensor of claim 1 , wherein the layer of graphene is a bilayer graphene (BLG). 4. The graphene sensor of claim 1 , wherein the substrate is a p-typed highly-doped Si wafer. 5. The graphene sensor of claim 1 , wherein the dielectric substrate is 300-nm thermally grown SiO 2 . 6. The graphene sensor of claim 1 , wherein the source and drain contact are Cr/Au. 7. The graphene sensor of claim 1 , wherein the source and drain contact are Ti/Au. 8. The graphene sensor of claim 1 , comprising: a pair of Cr/Au contact pads. 9. The graphene sensor of claim 1 , comprising: a signal analyzer to measure a noise power spectrum. 10. The graphene sensor of claim 1 , comprising: an electrical circuit for a low frequency noise spectrum input. 11. The graphene sensor of claim 1 , wherein the low-pass and/or the high-pass filter are configured to pass frequencies from 0.03 Hz to 100 KHz. 12. A graphene sensor for selective sensing of vapors, gases and biological agents, the graphene sensor comprising: a substrate; a dielectric substrate on an upper layer of the substrate; one or more ribbons of graphene on an upper layer of the dielectric substrate; a metal electrode acting as a source and drain contact; a pre-amplifier configured to amplify current fluctuations; and a low-pass and/or a high-pass filter configured to pass the amplified current fluctuations for analyzation. 13. The graphene sensor of claim 12 , wherein the one or more graphene ribbons comprise a plurality of graphene ribbons. 14. The graphene sensor of claim 13 , wherein each of the plurality of graphene ribbons has multiple electrodes. 15. The graphene sensor of claim 14 , wherein the multiple electrodes have different distances between a pair of electrodes. 16. The graphene sensor of claim 12 , comprising: a signal analyzer to measure a noise power spectrum. 17. A method for selective detection of vapors, gases and biological objects with low frequency input as a sensing parameter using a graphene device, the method comprising: exposing the graphene device to at least one vapor, gas, and/or biological object, the graphene device comprising a substrate, a dielectric substrate on an upper layer of the substrate, a layer of graphene on an upper layer of the dielectric substrate, and a source and drain contact on an upper surface of the layer of graphene, a pre-amplifier configured to amplify current fluctuations, and a low-pass and/or a high-pass filter configured to pass the amplified current fluctuations for analyzation; and measuring a change in a noise spectra of the amplified current fluctuations of the graphene device. 18. The method of claim 17 , comprising: measuring the change in the noise spectra of the graphene device with a signal analyzer. 19. A method for selective detection of vapors, gases and biological objects with low frequency input as a sensing parameter using a graphene device, the method comprising: exposing the graphene device to at least one vapor, gas, and/or biological object, the graphene device comprising a substrate, a dielectric substrate on an upper layer of the substrate, one or more ribbons of graphene on an upper layer of the dielectric substrate, a metal electrode acting as a source and drain contact, a pre-amplifier configured to amplify current fluctuations, and a low-pass and/or a high-pass filter configured to pass the amplified current fluctuations for analyzation; and measuring a change in a noise spectra of the amplified current fluctuations of the graphene device. 20. The method of claim 19 , comprising: measuring the change in the noise spectra of the graphene device with a signal analyzer.
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