A MULTISENSOR SYSTEM FOR BEER FLAVOR MONITORING USING AN ARRAY OF CONDUCTING POLYMERS AND PREDICTIVE CLASSIFIERS
UNSPECIFIED (1994) A MULTISENSOR SYSTEM FOR BEER FLAVOR MONITORING USING AN ARRAY OF CONDUCTING POLYMERS AND PREDICTIVE CLASSIFIERS. In: Eurosensors VII, BUDAPEST, HUNGARY, SEP 26-29, 1993. Published in: SENSORS AND ACTUATORS B-CHEMICAL, 18 (1-3). pp. 240-243.Full text not available from this repository.
This paper describes the results of a three year project, jointly funded by the UK government and industry, to develop a multisensor system capable of discriminating between the aromas of different beers. The system consists of an array of up to 24 conducting polymer sensors (thin films electrodeposited onto a microelectrode structure). The conducting polymers provide the active layer in these conductometric odour sensors and respond differentially to the headspaces of beers and lagers. The interface circuitry and signal conditioning have been designed and realized in custom PCBs housed in a Eurorack-based multisensor system. A comprehensive suite of software modules has been developed to automate the sampling system and process the sensor array data. The output from the polymer array is pre-processed using a variety of algorithms (e.g., fractional change in conductance, normalized relative response) and then classified using a statistical (chemometric fingerprinting technique) or neural predictive classifier (multi-layer perceptron using back-propagation learning). The odour-sensing system can distinguish subtle taints, e.g., 0.5 ppm of diacetyl in an ethanol solution with only nine different varieties of conducting polymers.
|Item Type:||Conference Item (UNSPECIFIED)|
|Subjects:||Q Science > QD Chemistry|
|Journal or Publication Title:||SENSORS AND ACTUATORS B-CHEMICAL|
|Publisher:||ELSEVIER SCIENCE SA LAUSANNE|
|Official Date:||March 1994|
|Number of Pages:||4|
|Page Range:||pp. 240-243|
|Title of Event:||Eurosensors VII|
|Location of Event:||BUDAPEST, HUNGARY|
|Date(s) of Event:||SEP 26-29, 1993|
Actions (login required)
Downloads per month over past year