No abstract

An electronic nose (EN) reduced in size, based on commercial sensors array with a particular thermally stabilized chamber and an advanced processing algorithm was developed. In this work using a heater system that controls the temperature of the sensors chamber, it was possible to study the desorption process on SnO 2 sensor array. Data signal of sensors applying a two exponential decay functions were analyzed in order to determine the desorption constants. These constants were used to measure the fish freshness using the PCA algorithm. This is a first approach using this method that shows the ability of the EN to detect interruptions during the cold storage.