Project Grant 2238686

Award Date 2/1/23
Completion Date 1/31/28
Dollars Obligated $431K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
East Lansing, MI 48824, USA
Similar Awards
This Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) provides $500,000 to Alabama State University to design and develop an affordable, non-invasive point-of-care device for early diagnosis of lung cancer using a functionalized carbon dot biosensor. The key objectives are to: (1) synthesize and characterize the carbon dot-based biosensor functionalized with anti-CYFRA 21-1 antibodies, (2) assess the binding efficiency of the biosensor...
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...
The National Science Foundation (NSF) Directorate for Engineering awarded a $1,999,999 Project Grant under the CFDA 47.041 Engineering program to Virginia Polytechnic Institute & State University (Virginia Tech) on October 15, 2023. The objective of this 4-year project is to develop a biosensing platform that uses engineered living materials to continuously monitor for the presence of various airborne pathogens, including those that could be used as bioterrorism agents. The technology,...
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 $495,516 Project Grant, awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041), aims to develop a next-generation, ultrasensitive, and easy-to-use diagnostic platform for detecting nucleic acids as biological markers for diseases and pathogens. The key innovations focus on: (1) signal amplification through redox-tagged reporter aptamers in a graphene microstructure array; (2) enhancing charge transfer kinetics through plasma-induced graphene...
This $500,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports the development of a novel materials-based sensing system for detecting a variety of analytes or physiological states in biological fluids. The multidisciplinary team from Lehigh University, led by researchers in chemistry, materials science, bioengineering, and computer science, aims to create an initially "analyte-agnostic" nanosensor...
This federal Project Grant award from the National Cancer Institute (NCI), under the Cancer Treatment Research program (CFDA 93.395), is funding research by the Sloan-Kettering Institute for Cancer Research to investigate the use of electronic nose (e-nose) technology to predict and assess response to induction therapy and identify recurrence in patients with non-small cell lung cancer. The $452,540 award, effective July 1, 2025 through June 30, 2027, will enable the collection and analysis of...
This $199,558 National Science Foundation project grant, funded under the Engineering (47.041) program, supports the development of an integratable nano-optical particle sizer for measuring ultrafine airborne particles less than 100 nanometers at Lawrence Technological University from February 2022 through January 2024. The proposed research aims to advance optical particle sensing capabilities to the ultrafine range by investigating optical responses of nano-optical structures to airborne...
The National Science Foundation (NSF) awarded a $650,000 Project Grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to the University of Illinois for the development of a bioinspired multispectral imaging sensor to support real-time intraoperative detection of cancer. The award aims to create a novel sensor that integrates perovskite nanocrystals and optical metasurfaces to simultaneously detect endogenous cancer biomarkers in the UV spectrum and exogenous markers...
This $300,000 Project Grant awarded by the National Science Foundation (NSF) under the Integrative Activities (CFDA 47.083) program supports the development of an innovative, intelligent surgical probe for prostate cancer treatment. The project aims to create an edge artificial intelligence (AI) system-on-chip for bioimpedance analysis that can accurately distinguish cancerous from healthy tissue during prostate removal surgery. The novel technology being developed includes an adaptive filter to...

This $431,220 National Science Foundation project grant supports the development of a novel part-brain, part-engineered gas sensor for noninvasive detection of lung cancer at Michigan State University from February 1, 2023 to January 31, 2028. The grant is funded through the NSF Directorate for Engineering's Engineering program (CFDA 47.041), which seeks to foster innovation and excellence in engineering research.

Specifically, the university will develop a gas sensing device that utilizes neuronal responses from ex vivo insect brains to classify and detect human lung cancers from exhaled breath samples. An antennae-attached locust brain will constitute the central sensing component, coupled with miniaturized electrodes and neural network analysis. Testing will differentiate between small cell and non-small cell lung cancer cell lines based on volatile organic compound signatures. Completion of this bioengineered sensor could enable sensitive, real-time lung cancer detection and represent a new dimension in biomedical sensing applications if validated for clinical use.

Generated 1/7/24, 10:32 AM