Applying Convolution‐Based Processing Methods To A Dual‐Channel, Large Array Artificial Olfactory Mucosa

Our understanding of the human olfactory system, particularly with respect to the phenomenon of nasal chromatography, has led us to develop a new generation of novel odour‐sensitive instruments (or electronic noses). This novel instrument is in need of new approaches to data processing so that the information rich signals can be fully exploited; here, we apply a novel time‐series based technique for processing such data. The dual‐channel, large array artificial olfactory mucosa consists of 3 arrays of 300 sensors each. The sensors are divided into 24 groups, with each group made from a particular type of polymer. The first array is connected to the other two arrays by a pair of retentive columns. One channel is coated with Carbowax 20 M, and the other with OV‐1. This configuration partly mimics the nasal chromatography effect, and partly augments it by utilizing not only polar (mucus layer) but also non‐polar (artificial) coatings. Such a device presents several challenges to multi‐variate data processing...