The National Science Foundation (NSF) awarded a $400,000 Project Grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to the University of South Florida (USF) to develop a hybrid and modular electronic nose (e-nose) system for non-invasive medical diagnostic applications. The project aims to converge research on gas sensing and artificial intelligence/machine learning technologies to create an advanced tool for detecting volatile organic compounds as health status...
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...
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 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...
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...
The National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded a $199,676 Project Grant to the Kennesaw State University Research And Service Foundation, Inc. (KSU R&SF) to develop a novel manufacturing process for ultra-sensitive and selective electronic molecule sensor arrays. The goal is to enable real-time, label-free detection of target molecules in an all-electronic format compatible with field deployment on integrated circuit chips. The...
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...
The National Science Foundation Division of Industrial Innovation awarded North Carolina State University a $250,000 Project Grant under the Engineering federal grant program (CFDA 47.041) from June 15, 2021 to May 31, 2023. The grant funds the development of a network of electronic noses to sense stress-induced chemical fingerprints emitted by plants. The Engineering program seeks to improve quality of life and economic strength by fostering innovation and excellence in engineering research....
This Project Grant award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) provides $550,000 to the University of Georgia Research Foundation, Inc. to develop a prototype for rapid diagnosis of foodborne pathogens. The goal is to create a new one-test screening method that can identify bacterial contaminants in food in less than an hour, compared to current multi-step tests that take hours or days. This rapid diagnostic technology is aimed at...
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...