ABSTRACT
Electronic-nose (e-nose) offers a more attractive method of analyzing volatile organic compounds present in foods that is inexpensive, reliable and portable, and can facilitate automated sampling procedures. E-nose has used in a wide variety of applications in the food control as an analytical tool to characterize food odors. E-nose is composed of an array of electronic chemical sensors that detect and identify the food aromas. Mass spectrometry is one popular method to analyze odors that separate molecules by ionization and then the ions according to their mass-to-charge ratio. The application of e-nose systems strongly depends on the sampling procedure that needs to be consistent; that is, the same methodology should be used for each sample. E-nose systems comprise sampling system, sensor array, signal preprocessing and pattern recognition. Artificial neural networks handle non-linear data and tolerate sensor drift and noise using the human reasoning with an artificial neural network.
