This Project Grant award from the National Science Foundation (CFDA 47.041 - Engineering) provides $251,110 to Oregon State University to design, fabricate, and test an "electronic nose" system for classifying complex gas mixtures. The key components of the project are:
Constructing a sensor array using diverse metal-organic polyhedra (MOPs) as gravimetric sensing elements coated on quartz crystal microbalances. The computational design and selection of the MOP materials aims to maximize the array's ability to discriminate complex gas mixtures.
Developing a supervised machine learning algorithm to interpret the response patterns of the MOP sensor array and classify the gas compositions. The system will be tested on discriminating pure compounds, plant oils, and grades of olive oil.
Creating educational outreach materials, including YouTube videos and hands-on learning modules, to share information about MOPs and gas sensing technology with the public.
The project runs from Sep 1, 2024 to Aug 31, 2027 and aims to advance the development of robust, tunable gas sensing systems that could enable applications in air quality monitoring, agriculture, food quality assessment, and health monitoring.