Publication

In realizing scent digitalization for real-world scenarios, robust and high-performance scent-sensing techniques lay the foundation, which is much more challenging than existing image or sound digitalization techniques. Current scent sensing predominantly utilizes single sensing techniques that only detect a dominant aspect of scent properties, thus limiting their ability to capture the full complexity of scents. In contrast, integrated multimodal scent sensing offers promising avenues for scent digitalization, enabling comprehensive and complementary profiling through multi-perspective analysis of scents. In this perspective, traditional scent-sensing techniques are reassessed in their sensing mechanisms and advantageous sensing capabilities. We hope that the perspective presented will inspire more scent-sensing systems and expand the application scenarios of scent digitalization.

Researcher/Author: 

Jianwu, Yifei Luo, Xian Jun Loh and Xiaodong Chen

Published in:

July 2024, Matter, 3 July 2024

To download the paper, please proceed to:  

DOI:  http://dx.doi.org/10.1016/j.matt.2024.05.040