Abstract
We present in this communication a home-made and home-developed portable electronic nose. It is capable of working with several types of resistive microsensors, it has an electronic pump and an electrovalve to control the way of the sampling gas, embedded control and instrumentation electronics, rechargeable batteries, touch screen and IEEE 802.11 transceiver for wireless communication. Several measurements are made in order to check the discrimination capability of the prototype in the detection of pollutants in water samples. Principal Component Analysis (PCA) and classification with Artificial Neural Networks are made as data processing methods. A web service infrastructure is also integrated with the aim of providing services such as retrieving the acquired data and requesting a classification value from an unknown sample measurement.
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