This $400,000 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports the development of a meshed chemical sensor network to continuously monitor outdoor air for carcinogenic volatile organic compounds (VOCs) associated with wildfire smoke. The University of California, Davis will lead this 3-year effort to create a network of portable chemical sensors that can detect and quantify specific VOCs like benzene, toluene, and xylene. The sensor...
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 $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 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...
This National Science Foundation (NSF) Project Grant under the Convergence Accelerator program (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) provides $649,984 to the Regents of the University of Minnesota, doing business as the Office of Sponsored Projects Administration, to develop a compact, customizable chemical sensing system integrated with new microsensors and data management/analytics technologies. The goal is to accurately quantify and monitor high-priority water...
This Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $274,991 to Atmosense, Inc., a small disadvantaged business in San Diego, CA, to develop novel nanomaterials for highly sensitive gas sensing applications.
The key objectives of this 8-month project are to use machine learning models to accelerate the discovery and synthesis of high surface area, noble metal decorated metal oxide nanomaterials that...
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 from the National Science Foundation's Technology, Innovation, and Partnerships program totaling $256,000 will fund the development of an optimized ion mobility spectrometry system for distributed chemical sensing without the use of radioactive ionization sources. The awardee, Sensit Ventures Inc. of Davis, California, will establish an experimental and theoretical framework to miniaturize differential mobility spectrometry technology for analytical-quality chemical...
This Project Grant award from the National Science Foundation (NSF) Engineering Program (CFDA 47.041) provides $323,890 to the Trustees of Indiana University to design, fabricate, and test an "electronic nose" gas sensor array based on metal-organic polyhedra (MOPs) materials. The project aims to develop a machine learning-powered sensing system capable of discriminating complex gas mixtures, with potential applications in air quality monitoring, crop/food analysis, and health...
This $251,110 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will support the design, fabrication, and testing of an electronic nose system based on metal-organic polyhedra (MOPs) sensing elements and machine learning algorithms. The project aims to develop a computationally-designed gas sensor array that can effectively discriminate between complex gas mixtures, such as plant oils and grades of olive oil, for potential applications in air...
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 sensitive VOC sensors. These sensors are expected to prove valuable for disadvantaged and resource-limited communities in applications such as personal health monitoring, crop protection, and environmental detection. The project seeks to break down barriers for olfactory sensor translation and accelerate the development of affordable and accessible VOC sensors to address urgent needs in noninvasive diagnostics and environmental monitoring.