Abstract
This paper introduces electronic tongue systems for remote environmental monitoring applications. This new approach in the chemical sensor field consists of the use of an array of non-specific sensors coupled with a multivariate calibration tool which may form a node of a sensor network. In our work, the proposed arrays were made up of potentiometric sensors based on polymeric membranes, and the subsequent cross-response processing was based on a multilayer artificial neural network model. Two cases are described: the environmental monitoring of ammonium pollutant plus alkaline ions at different measuring sites in the states of Mexico and Hidalgo (Mexico), and the monitoring of heavy metals (Cu2+, Pb2+, Zn2+ and Cd2+) in open air waste streams and rivers heading down the Gulf of Mexico. © 2009 Elsevier Ltd.
Original language | English |
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Pages (from-to) | 1023-1030 |
Journal | Environmental Modelling and Software |
Volume | 25 |
Issue number | 9 |
DOIs | |
Publication status | Published - 1 Sept 2010 |
Keywords
- Artificial neural networks
- Electronic tongue
- Environmental monitoring
- Ion-selective electrodes
- Sensor array