ABSTRACT
Gardner et al. [4] used an electronic nose that contained six commercial metal oxide sensors, a temperature sensor, and a humidity sensor to predict the class and growth phase of two types of bacteria, Escherichia coli and Staphylococcus aureus. The six sensors were designed to detect hydrocarbons, alcohols, aldehydesheteroatoms, polar molecules, and nonpolar compounds. The best mathematic model identified 100% of the unknown S. aureus samples and 92% of the unknown E. coli samples.
