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Sensors 2015, 15(8), 20193-20203; doi:10.3390/s150820193

Nano-Enriched and Autonomous Sensing Framework for Dissolved Oxygen

1
Department of Engineering Mathematics and Physics, Faculty of Engineering, Alexandria University, Alexandria 21544, Egypt
2
Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 24061, USA
3
Center of Smart Nanotechnology and Photonics (CSNP), SmartCI research center, Alexandria University, Alexandria 21544, Egypt
4
Informatics Research Institute, City of Scientific Research and Technological Applications, New Borg El-Arab City, Alexandria 21934, Egypt
5
School of Engineering, University of Glasgow, Glasgow G128QQ, UK
*
Author to whom correspondence should be addressed.
Academic Editor: Albert M. K. Cheng
Received: 18 June 2015 / Revised: 18 July 2015 / Accepted: 22 July 2015 / Published: 14 August 2015
(This article belongs to the Special Issue Cyber-Physical Systems)
View Full-Text   |   Download PDF [1440 KB, uploaded 14 August 2015]   |  

Abstract

This paper investigates a nano-enhanced wireless sensing framework for dissolved oxygen (DO). The system integrates a nanosensor that employs cerium oxide (ceria) nanoparticles to monitor the concentration of DO in aqueous media via optical fluorescence quenching. We propose a comprehensive sensing framework with the nanosensor equipped with a digital interface where the sensor output is digitized and dispatched wirelessly to a trustworthy data collection and analysis framework for consolidation and information extraction. The proposed system collects and processes the sensor readings to provide clear indications about the current or the anticipated dissolved oxygen levels in the aqueous media. View Full-Text
Keywords: ceria nanoparticles; oxygen sensing; sensing framework; data collection ceria nanoparticles; oxygen sensing; sensing framework; data collection
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Shehata, N.; Azab, M.; Kandas, I.; Meehan, K. Nano-Enriched and Autonomous Sensing Framework for Dissolved Oxygen. Sensors 2015, 15, 20193-20203.

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