Organic field effect transistors (OFETs) in environmental sensing and health monitoring: A review
Organic field effect transistors (OFETs) have been the focus of sensing application research during the last two decades. In comparison to their inorganic counterparts, OFETs have multiple advantages such as low-cost manufacturing, large area coverage, flexibility, and readily tunable electronic mat...
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Published in | TrAC, Trends in analytical chemistry (Regular ed.) Vol. 111; pp. 27 - 36 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.02.2019
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Subjects | |
Online Access | Get full text |
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Summary: | Organic field effect transistors (OFETs) have been the focus of sensing application research during the last two decades. In comparison to their inorganic counterparts, OFETs have multiple advantages such as low-cost manufacturing, large area coverage, flexibility, and readily tunable electronic material properties. To date, various organic semiconductors (OSCs), both polymers and small molecules, have been extensively researched for developing active channel layers in OFETs, thus enhancing their sensitivity and selectivity. However, OFET devices still need to be optimized to demonstrate reliable performance at the device level and in sensing applications. This review begins with an introduction of the OFETs with an emphasis on their geometry, materials (OSCs), fabrication process, and data analysis. After this, multiple applications are discussed, and the progress regarding sensing elements and precisions is highlighted. Finally, the challenges and possible future directions of OFET arrays in embedded sensing platforms are presented.
•Organic field effect transistors are discussed for sensing applications and compared to other existing devices in sensing.•Focus on feature extraction and the implementation of pattern recognition for the analysis of the data.•Covered reference papers based on OFETs from various sensing backgrounds like gases, VOCs, irradiations and bio-analytes.•Constructive solutions are proposed and future directions include aiming an e-nose platform with multi-variate analysis. |
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ISSN: | 0165-9936 1879-3142 |
DOI: | 10.1016/j.trac.2018.11.027 |