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
Full text not available from this repository.Abstract
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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| 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 |
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| 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://raiithold.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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