Micro power sources have a wide potential market for consumer electronics and portable applications, such as weather stations, medical devices, signal units, APU (auxiliary power units), gas sensors, and security cameras. A micro power source could be the direct methanol fuel cell system (DMFC). An important aspect of this system is the precise control of the concentration of the alcohol-water solution fed to the anode. Different detection principles were taken into consideration: electrochemical, infrared spectroscopy, gas chromatography, refractometry, density measurements, ultraviolet absorption. The present work is devoted to the study of an electrochemical amperometric sensor. The device is based on the electro-oxidation of methanol to carbon dioxide on platinum catalyst into a polymeric-membrane fuel cell operated as a galvanic cell. The alcohol-water solution under examination is fed to the anode (positive side) of a polymeric membrane fuel cell, where it reacts with water to produce carbon dioxide, protons, and electrons. Protons diffuse through the electrolyte material and recombine with electrons on the cathode catalyst (negative side). At high potentials mass transfer of methanol to the electrode solution interface controls the observed current. Therefore, it is possible to correlate the solution concentration to the observed limiting current. This method was successfully applied to relatively diluted solutions (concentration ). The application of this principle to more concentrate solutions (up to ) requires an optimization of the anode structure to enhance the influence of mass transport limitation. Moreover, during continuous operation of the sensor, a decay of the signal was observed: the absence of a steady-state current value hinders the application of the sensor. An explanation of this phenomenon and a possible solution strategy are proposed.
Skip Nav Destination
e-mail: mauro.sgroi@crf.it
Article navigation
August 2007
This article was originally published in
Journal of Fuel Cell Science and Technology
Technical Papers
Study of an Electrochemical Alcohol Concentration Sensor: Optimization of the Anode Structure
Mauro Sgroi,
Mauro Sgroi
Microgeneration Group, Micro & Nanotechnologies,
e-mail: mauro.sgroi@crf.it
Centro Ricerche FIAT
, Strada Torino 50, 10043 Orbassano, Italy
Search for other works by this author on:
Gianluca Bollito,
Gianluca Bollito
Microgeneration Group, Micro & Nanotechnologies,
Centro Ricerche FIAT
, Strada Torino 50, 10043 Orbassano, Italy
Search for other works by this author on:
Gianfranco Innocenti,
Gianfranco Innocenti
Microgeneration Group, Micro & Nanotechnologies,
Centro Ricerche FIAT
, Strada Torino 50, 10043 Orbassano, Italy
Search for other works by this author on:
Guido Saracco,
Guido Saracco
Materials Science and Chemical, Engineering Department,
Politecnico di Torino
, Corso Duca degli Abruzzi 24, 10129, Torino, Italy
Search for other works by this author on:
Stefania Specchia,
Stefania Specchia
Materials Science and Chemical, Engineering Department,
Politecnico di Torino
, Corso Duca degli Abruzzi 24, 10129, Torino, Italy
Search for other works by this author on:
Ugo Andrea Icardi
Ugo Andrea Icardi
Materials Science and Chemical, Engineering Department,
Politecnico di Torino
, Corso Duca degli Abruzzi 24, 10129, Torino, Italy
Search for other works by this author on:
Mauro Sgroi
Microgeneration Group, Micro & Nanotechnologies,
Centro Ricerche FIAT
, Strada Torino 50, 10043 Orbassano, Italye-mail: mauro.sgroi@crf.it
Gianluca Bollito
Microgeneration Group, Micro & Nanotechnologies,
Centro Ricerche FIAT
, Strada Torino 50, 10043 Orbassano, Italy
Gianfranco Innocenti
Microgeneration Group, Micro & Nanotechnologies,
Centro Ricerche FIAT
, Strada Torino 50, 10043 Orbassano, Italy
Guido Saracco
Materials Science and Chemical, Engineering Department,
Politecnico di Torino
, Corso Duca degli Abruzzi 24, 10129, Torino, Italy
Stefania Specchia
Materials Science and Chemical, Engineering Department,
Politecnico di Torino
, Corso Duca degli Abruzzi 24, 10129, Torino, Italy
Ugo Andrea Icardi
Materials Science and Chemical, Engineering Department,
Politecnico di Torino
, Corso Duca degli Abruzzi 24, 10129, Torino, ItalyJ. Fuel Cell Sci. Technol. Aug 2007, 4(3): 345-349 (5 pages)
Published Online: April 27, 2006
Article history
Received:
November 30, 2005
Revised:
April 27, 2006
Citation
Sgroi, M., Bollito, G., Innocenti, G., Saracco, G., Specchia, S., and Icardi, U. A. (April 27, 2006). "Study of an Electrochemical Alcohol Concentration Sensor: Optimization of the Anode Structure." ASME. J. Fuel Cell Sci. Technol. August 2007; 4(3): 345–349. https://doi.org/10.1115/1.2756558
Download citation file:
Get Email Alerts
Cited By
A Fault Diagnosis Method for Electric Vehicle Lithium Power Batteries Based on Dual-Feature Extraction From the Time and Frequency Domains
J. Electrochem. En. Conv. Stor (August 2025)
Optimization of thermal non-uniformity challenges in liquid-cooled lithium-ion battery packs using NSGA-II
J. Electrochem. En. Conv. Stor
Ultrasound-enabled adaptive protocol for fast charging of lithium-ion batteries
J. Electrochem. En. Conv. Stor
Effects of Sintering Temperature on the Electrical Performance of Ce0.8Sm0.2O1.9–Pr2NiO4 Composite Electrolyte for SOFCs
J. Electrochem. En. Conv. Stor (August 2025)
Related Articles
Optimization of Mesh-Based Anodes for Direct Methanol Fuel Cells
J. Fuel Cell Sci. Technol (June,2010)
High Temperature Direct Methanol Fuel Cell Based on Phosphoric Acid PBI Membrane
J. Fuel Cell Sci. Technol (December,2011)
A New PtRu Anode Formed by Thermal Decomposition for the Direct Method Fuel Cell
J. Fuel Cell Sci. Technol (May,2005)
A Novel Design of a Cylindrical Portable Direct Methanol Fuel Cell
J. Fuel Cell Sci. Technol (August,2008)
Related Proceedings Papers
Related Chapters
A Two-Phase Non-Isothermal Mass Transport Model for Direct Methanol Fuel Cells
Inaugural US-EU-China Thermophysics Conference-Renewable Energy 2009 (UECTC 2009 Proceedings)
Comparing Probabilistic Graphical Model Based and Gaussian Process Based Selections for Predicting the Temporal Observations
Intelligent Engineering Systems through Artificial Neural Networks, Volume 20
Sensor Fault Detection and Measurement Reconstruction Using an Analytical Optimization Approach
International Conference on Mechanical Engineering and Technology (ICMET-London 2011)