Our living environment is surrounded by a variety of odors. The visualized detection of odorant molecules may explore many new applications that cannot be realized by conventional sensors. This chapter introduces some novel sensing technologies that can be used to visualize both the odor space and odor quality. Fluorescence imaging sensors are developed to record the shape of odor sources and the spatiotemporal distribution of odor flows. Multispectral imaging-based odor visualization shows power in the structure-related discrimination of different odorant molecules. Localized surface plasmon resonance (LSPR) sensors based on metal nanoparticles show advantages in high-speed response and recovery in gas or vapor sensing. A sensor robot based on the LSPR sensors is developed to visualize the odor information from on-ground odor sources. In addition, data analysis based on physicochemical parameters of odorant molecules is carried out to demonstrate the difference of odor quality by using network-graph techniques.
|Title of host publication||Chemical, Gas, and Biosensors for Internet of Things and Related Applications|
|Number of pages||17|
|Publication status||Published - Jan 1 2019|
All Science Journal Classification (ASJC) codes