Electronic Olfactory Systems Based on Metal Oxide Semiconductor Sensor Arrays
- 1 October 2004
- journal article
- Published by Springer Science and Business Media LLC in MRS Bulletin
- Vol. 29 (10), 703-708
- https://doi.org/10.1557/mrs2004.206
Abstract
In this article, we present the Pico electronic nose, an artificial olfactory system based on thin-film semiconductor sensors, and two applications: food-quality control (coffee analysis) and environmental monitoring (odors at a landfill site). For both applications, the electronic nose data correlated with that of panels of trained judges. For the coffee, a global index (called the hedonic index) characterizing the sensorial appeal could be predicted with the electronic nose, and for the landfill site, the intensity of odors could be quantified. In this article, we stress the importance of stable and sensitive sensors, such as metal oxide thin films produced by sputtering, and of multivariate data analysis for extracting knowledge (e.g., gaining selectivity) from the data.Keywords
This publication has 18 references indexed in Scilit:
- Novel selective ethanol sensors: W/TiO2 thin films by sol–gel spin-coatingSensors and Actuators B: Chemical, 2003
- Coffee analysis with an electronic noseIEEE Transactions on Instrumentation and Measurement, 2002
- Learning from data: a tutorial with emphasis on modern pattern recognition methodsIEEE Sensors Journal, 2002
- Mo influence on SnO2 thin films propertiesThin Solid Films, 2002
- Statistical Pattern RecognitionPublished by Wiley ,2002
- Nanostructured mixed oxides compounds for gas sensing applicationsSensors and Actuators B: Chemical, 2002
- Statistical pattern recognition: a reviewIeee Transactions On Pattern Analysis and Machine Intelligence, 2000
- A method for evaluating data-preprocessing techniques for odour classification with an array of gas sensorsIEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 1999
- Odours and flavours identified with hybrid modular sensor systems1Sensors and Actuators B: Chemical, 1997
- Fuzzy neural computing of coffee and tainted-water data from an electronic noseSensors and Actuators B: Chemical, 1996