Gas analytical gradient microarrays compromising low price and high performance for intelligent consumer products

The Karlsruhe Micronose KAMINA equipped with a thumbnail sized gradient microarray has proved its ability to monitor the toasting process as a model for hot household processes. Its high sensitivity to almost all gases and eminent discrimination power allow it to distinguish between different browning grades of toasts. For the online evaluation of the transient signal patterns of the toasting process, a linear discrimination analysis is proposed based on the subdivision of the dynamic process into a number of browning classes. The result show the feasibility of automating hot processes to avoid burning and to determine the final quality of the hot treatment.