Next Article in Journal
Design and Implementation of Real-Time Vehicular Camera for Driver Assistance and Traffic Congestion Estimation
Next Article in Special Issue
Model-Based Design of Tree WSNs for Decentralized Detection
Previous Article in Journal
Control Parameters Optimization Based on Co-Simulation of a Mechatronic System for an UA-Based Two-Axis Inertially Stabilized Platform
Previous Article in Special Issue
CoAP-Based Mobility Management for the Internet of Things
Article Menu

Export Article

Open AccessArticle

Nano-Enriched and Autonomous Sensing Framework for Dissolved Oxygen

Department of Engineering Mathematics and Physics, Faculty of Engineering, Alexandria University, Alexandria 21544, Egypt
Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 24061, USA
Center of Smart Nanotechnology and Photonics (CSNP), SmartCI research center, Alexandria University, Alexandria 21544, Egypt
Informatics Research Institute, City of Scientific Research and Technological Applications, New Borg El-Arab City, Alexandria 21934, Egypt
School of Engineering, University of Glasgow, Glasgow G128QQ, UK
Author to whom correspondence should be addressed.
Academic Editor: Albert M. K. Cheng
Sensors 2015, 15(8), 20193-20203;
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)
PDF [1440 KB, uploaded 14 August 2015]


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

Figure 1

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).

Share & Cite This Article

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.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top