6.1.2 Artificial Odor Map and Cluster Sensing by MIP Adsorbents

Masahiro Imahashi, Koici Nakano & Kenshi Hayashi
In this study, we focused on an appropriate classification of different odorants like biological odor clustering and constructed the odor map by sensor technology to achieve the odor discrimination. First, an sensor system that imitates the odor receptive mechanism of biological olfaction was developed. With some adsorbents, this system enables high detection and discrimination of odor by obtaining molecular parameters of odorants. Odor features can be extracted by measuring representative odor materials that belong to...