Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/3677
Title: Silicon Shadow Mask Technology for Aligning and In Situ Sorting of Semiconducting SWNTs for Sensitivity Enhancement: A Case Study of NO2 Gas Sensor
Authors: AGARWAL, P B
SHARMA, R
MISHRA, D
THAKUR, N K
AGARWAL, A
AJAYAGHOSH, A
Keywords: sodium dodecyl sulfate
sensors
electrodes
deposition
carbon nanotubes
Issue Date: 9-Sep-2020
Publisher: American Chemical Society
Citation: Applied Materials & Interfaces; 12(36):40901-40909
Abstract: Single-walled carbon nanotubes (SWNTs) are incorporated in different device configurations such as chemiresistors and field-effect transistors (FETs) as a sensing element for the fabrication of highly sensitive and specific biochemical sensors. For this purpose, sorting and aligning of semiconducting SWNTs between the electrodes is advantageous. In this work, a silicon shadow mask fabricated using conventional semiconductor processes and silicon bulk micromachining was used to make metal contacts over SWNTs with a minimum feature of 1 μm gap between the electrodes. The developed silicon shadow mask-based metal contact patterning process is cost-effective and free from photoresist (PR) chemical coatings and thermal processing. After a detailed investigation, sodium dodecyl sulfate (SDS), an anionic surfactant, along with ultrasonication process, was found to be effective for the removal of unclamped and metallic SWNTs, resulting in aligned and clamped semiconducting SWNTs between the electrodes. The presence of aligned semiconducting SWNTs was confirmed using atomic force microscopy (AFM), field emission scanning electron microscopy (FESEM), and Raman spectroscopy techniques. The fabricated devices were tested for nitrogen dioxide (NO2) gas sensing as a test case. The sensitivity enhancement of ∼21 to 76% in the 20–80 ppm NO2 concentration range has been observed in the case of aligned semiconducting SWNT devices compared to the random network SWNT-based sensors.
URI: https://pubs.acs.org/doi/pdf/10.1021/acsami.0c10189
http://hdl.handle.net/123456789/3677
Appears in Collections:2020



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