Electrospun Mn₂O₃ Nanofiber Networks as Bio-Transducers: Electrical Characterization, Modeling, and DNA Sensing

Tripathy, Suryasnata and Singh, Shiv Govind (2021) Electrospun Mn₂O₃ Nanofiber Networks as Bio-Transducers: Electrical Characterization, Modeling, and DNA Sensing. IEEE Transactions on Electron Devices, 68 (4). pp. 1892-1898. ISSN 0018-9383

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A passive-loss accounted analytic design technique for impedance matching networks is proposed here for efficient radio frequency (RF) circuit design. The impact of component losses on matching performance is briefed initially. To overcome the matching impact due to component losses, a set of modified equations are introduced which finds the accurate inductor and capacitor values accounting component losses. The proposed technique is applied for single-frequency L-match, Pi-match, Tmatch and dual-frequency L-match networks. The improvement in matching performance by using the proposed design technique is validated through simulations and measurements in UMC 0.18 μm complementary metal oxide semiconductor technology. The measurement results closely (90-95%) follow ideal component performance. Hence, the proposed passive-loss accounted design technique will be more useful in accurate low power RF circuit design.

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IITH Creators:
IITH CreatorsORCiD
Tripathy, SuryasnataUNSPECIFIED
Singh, Shiv Govindhttp://orcid.org/0000-0001-7319-879X
Item Type: Article
Additional Information: Web of Science
Uncontrolled Keywords: Manganese; Nanobioscience; Temperature dependence; Temperature; Electrodes; Nanoscale devices; Sensors; Arrhenius energy; carrier transport; DNA sensor; electrical modeling; nanofiber networks
Subjects: Electrical Engineering
Electrical Engineering > Wireless Communication
Electrical Engineering > Process Control
Electrical Engineering > Power System
Electrical Engineering > Automation & Control Systems
Electrical Engineering > Electrical and Electronic
Electrical Engineering > Instruments and Instrumentation
Divisions: Department of Electrical Engineering
Depositing User: . LibTrainee 2021
Date Deposited: 27 Jul 2022 06:14
Last Modified: 27 Jul 2022 06:14
URI: http://raiith.iith.ac.in/id/eprint/7816
Publisher URL: http://doi.org/10.1109/TED.2021.3059392
OA policy: https://v2.sherpa.ac.uk/id/publication/3444
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