Smell plays an important role in versatile aspects of people’s daily life, such as partner selection and disease detection. However, the digitization of the olfactory sense has received minimal attention compared to vision and hearing. the SMart ELectronic OLfaction for Body Odor Diagnostics (SMELLODI) project aims at making a product (odor display) that enables the digitization, transmission, and synthesis of BOVs (body volatilomes) over time and space for various applications in fields such as the remote diagnostics and artificial olfaction. As one of the work packages in the SMELLODI, we focus on the computational modeling of mucin-based receptors (synthesized by HUJI) for body odor molecules adsorption process by atomistic simulations. With the assistance of the electronic properties from the adsorption process such as binding energy, work function, and charge transfer. we hope to create a bridge to the correlation between the microscopic molecular features and sensor response. In this talk, our progress in the past several months will be reported.
Li Chen obtained his Bachelor degree in mechanical engineering at Sichuan University in 2018. In the same year, he joined TU Dresden for the Diplom degree in power engineering. During his study, he worked as SHK and WHK in the topic of heat transport in polymers and electronic properties of 2D-materials for gas adsorption, using Molecular dynamics (MD) and density functional theory (DFT) simulations. In 2023, he joined Prof. Cuniberti’s chair as a PHD student under supervision of Dr. Gutierrez and Dr. Dianat with the topic of odor molecules sensing by receptor-functionalized graphene.
Smell plays an important role in versatile aspects of people’s daily life, such as partner selection and disease detection. However, the digitization of the olfactory sense has received minimal attention compared to vision and hearing. the SMart ELectronic OLfaction for Body Odor Diagnostics (SMELLODI) project aims at making a product (odor display) that enables the digitization, transmission, and synthesis of BOVs (body volatilomes) over time and space for various applications in fields such as the remote diagnostics and artificial olfaction. As one of the work packages in the SMELLODI, we focus on the computational modeling of mucin-based receptors (synthesized by HUJI) for body odor molecules adsorption process by atomistic simulations. With the assistance of the electronic properties from the adsorption process such as binding energy, work function, and charge transfer. we hope to create a bridge to the correlation between the microscopic molecular features and sensor response. In this talk, our progress in the past several months will be reported.
Li Chen obtained his Bachelor degree in mechanical engineering at Sichuan University in 2018. In the same year, he joined TU Dresden for the Diplom degree in power engineering. During his study, he worked as SHK and WHK in the topic of heat transport in polymers and electronic properties of 2D-materials for gas adsorption, using Molecular dynamics (MD) and density functional theory (DFT) simulations. In 2023, he joined Prof. Cuniberti’s chair as a PHD student under supervision of Dr. Gutierrez and Dr. Dianat with the topic of odor molecules sensing by receptor-functionalized graphene.
