Next Issue
Volume 2, December
Previous Issue
Volume 2, October
 
 
sensors-logo

Journal Browser

Journal Browser

Sensors, Volume 2, Issue 11 (November 2002) – 3 articles , Pages 436-472

  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list.
  • You may sign up for e-mail alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.
Order results
Result details
Section
Select all
Export citation of selected articles as:

Research

279 KiB  
Article
Mathematical Modelling of the Electrode Process of Azithromycin Using Cyclic Voltammetry at Hanging Mercury Drop Electrode
by Reyad A. Shawabkeh and Maha F. Tutunji
Sensors 2002, 2(11), 436-446; https://doi.org/10.3390/s21100436 - 30 Nov 2002
Cited by 9 | Viewed by 7718
Abstract
A theoretical treatment is presented to predict the kinetic behaviour of azithromycin at the surface of hanging mercury drop electrode using cyclic voltammetry. A model is developed to incorporate the occurrence of adsorption of the oxidized and reduced species of azithromycin at the [...] Read more.
A theoretical treatment is presented to predict the kinetic behaviour of azithromycin at the surface of hanging mercury drop electrode using cyclic voltammetry. A model is developed to incorporate the occurrence of adsorption of the oxidized and reduced species of azithromycin at the surface of mercury drop electrode. An analytical solution was obtained using MATHEMATICA (V-3, Wolfram Research, Inc.) to predict the cyclic voltammetric profiles by calculating the currents resulting after applying variable potentials ranging –1.9 to –1.3 V versus Ag/AgCl. Simulation runs at different initial concentrations of azithromycin and different scan rates showed good agreement with experimental findings. However, this model should be modified to describe a multilayer adsorption with irreversible electrochemical reaction. Full article
Show Figures

Figure 1

543 KiB  
Article
Study on pH Effect in Process of an Entero-gastric Fiber-optic Sensor Design
by Chen Guo-ping, Xia Rong-min, Gong Jun and Shou Wen-de
Sensors 2002, 2(11), 447-454; https://doi.org/10.3390/s21100447 - 30 Nov 2002
Cited by 3 | Viewed by 7736
Abstract
The pH effect on design of a fiber optic sensor newly developed for monitoring entero-gastric reflux is investigated. The research has been carried out by utilizing the sensor to measure characteristic absorption of bilirubin standard solution (used as a calibrator) at different pH [...] Read more.
The pH effect on design of a fiber optic sensor newly developed for monitoring entero-gastric reflux is investigated. The research has been carried out by utilizing the sensor to measure characteristic absorption of bilirubin standard solution (used as a calibrator) at different pH values from about 1 to 8. The results show explicitly that the estimation error according to the calibration curves with pH <7 is significantly lower than that at alkaline pH values. Compared with the in vitro experimental data, the optimum pH range for entero-gastric reflux analysis is proposed to be between 5-6. The possible reasons for estimation error of the fiber optic sensor are given in detail. Full article
Show Figures

Figure 1

1510 KiB  
Article
Design of a Wireless Sensor Network for Long-term, In-Situ Monitoring of an Aqueous Environment
by Xiping Yang, Keat G. Ong, William R. Dreschel, Kefeng Zeng, Casey S. Mungle and Craig A. Grimes
Sensors 2002, 2(11), 455-472; https://doi.org/10.3390/s21100455 - 30 Nov 2002
Cited by 139 | Viewed by 12937
Abstract
An aqueous sensor network is described consisting of an array of sensor nodes that can be randomly distributed throughout a lake or drinking water reservoir. The data of an individual node is transmitted to the host node via acoustic waves using intermediate nodes [...] Read more.
An aqueous sensor network is described consisting of an array of sensor nodes that can be randomly distributed throughout a lake or drinking water reservoir. The data of an individual node is transmitted to the host node via acoustic waves using intermediate nodes as relays. Each node of the sensor network is a data router, and contains sensors capable of measuring environmental parameters of interest. Depending upon the required application, each sensor node can be equipped with different types of physical, biological or chemical sensors, allowing long-term, wide area, in situ multi-parameter monitoring. In this work the aqueous sensor network is described, with application to pH measurement using magnetoelastic sensors. Beyond ensuring drinking water safety, possible applications for the aqueous sensor network include advanced industrial process control, monitoring of aquatic biological communities, and monitoring of waste-stream effluents. Full article
Show Figures

Figure 1

Previous Issue
Next Issue
Back to TopTop