This National Science Foundation project grant of $450,000 will fund the development of an engineered electronic nose with single molecule sensitivity and single atom resolution. Awarded on July 1, 2022 to the University of California Irvine under the NSF Engineering program (CFDA 47.041), the three year project aims to attach odorant receptors from biological noses to tiny electrical sensors using nanowire and nanotube networks. This work lays the groundwork for high precision chemical...
The National Science Foundation (NSF) awarded a $650,000 Project Grant under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to The Washington University Office of Sponsored Research Services Division. The project aims to develop a novel, insect-inspired, nanoparticle-based chemical sensor for detecting explosive volatile organic compounds using artificial intelligence (AI). The short-term goal is to fabricate and demonstrate a proof-of-concept, portable AI-enabled...
This National Science Foundation (NSF) Convergence Accelerator Track L Project Grant, with a total funding of $650,000, aims to innovate and mature two miniature volatile organic compound (VOC) sensing technologies - colorimetric VOC sensor arrays and wearable VOC sensor patches. The project team, consisting of engineers, chemists, material scientists, biologists, and data scientists, will leverage machine learning and bio-inspired design to develop cost-effective, field-portable, and highly...
This $390,000 project grant from the National Science Foundation's Engineering Directorate (CFDA 47.041) funds the development of a wearable dynamic microsystem sampler for collecting microbial volatiles from human skin at Virginia Polytechnic Institute and State University. Key products include a microelectromechanical system-fabricated, 3D-printed "SensorP" device the size of an apple watch. The SensorP will standardize skin scent collection through a novel packaging system...
The University of South Florida received a $290,842 project grant award from the National Science Foundation Division of Electrical, Communications and Cyber Systems to develop a Compact Isotopic Raman Multigas Trace Detection System. This award, made under the NSF's Engineering program (CFDA #47.041), will support the creation of a new system capable of detecting trace amounts of multiple gases using compact isotopic Raman spectroscopy. The project period is from September 2021 through August...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports research by Kennesaw State University Research And Service Foundation, Inc. (KSU R&SF) to develop advanced artificial intelligence (AI) models that enable electronic nose (e-nose) technology to accurately detect food contamination, even in complex multi-food environments. The $199,995 award will fund the team's efforts to leverage contrastive learning techniques to train deep...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports the design, fabrication, and testing of an "electronic nose" system for classifying complex gas mixtures. The $251,110 award to Oregon State University (OSU) aims to develop a gas sensor array using tunable, nanoporous metal-organic polyhedra (MOPs) as the sensing elements. The sensor array will be paired with a supervised machine learning algorithm to analyze the response...
This National Science Foundation (NSF) award, funded under the Engineering program (CFDA 47.041), provides $400,000 over 3 years to the University of Maryland, College Park to conduct fundamental research on desiccatable insect cells and their use in developing an artificial "electronic nose" for odor detection. The project aims to understand the odor response characteristics of these specialized cells, which can be stored in a dried state and then reactivated, in order to assess their...
This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) provides $323,890 to Indiana University to design, fabricate, and test an electronic nose device for discriminating complex gas mixtures. The project aims to develop a sensor array using computationally-designed metal-organic polyhedra (MOPs) as the sensing elements, paired with a supervised machine learning model to interpret the sensor response patterns. Key objectives include testing the sensor...
The National Science Foundation awarded a $494,579 Project Grant to the University of Maryland, College Park under the Engineering (47.041) federal grant program. The five-year award will support research and educational outreach to develop selective gas sensing capabilities using two-dimensional heterostructures. Specifically, the university will investigate using layered transition metal oxides grown on epitaxial graphene via van der Waals epitaxy to enable tunable molecular sieves via...