Project Grant 2323759

Award Date 10/1/23
Completion Date 9/30/27
Dollars Obligated $500K
Awarding Federal Agency
Division of Materials Research
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Fountain Hill, PA 18015, USA
Similar Awards
This $1,500,000 Project Grant awarded by the National Science Foundation's (NSF) Division of Materials Research under the Mathematical and Physical Sciences Program (CFDA 47.049) aims to accelerate the discovery and optimization of biosensor materials through a closed-loop computational and experimental approach. The key objectives are to: 1) understand the effect of two-dimensional transition metal dichalcogenide (TMD) functionalization and doping on nanoscale interactions with biomolecules, 2)...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $1,200,000 provides funding to the University of California, Berkeley from October 1, 2024 to September 30, 2028 to develop innovative sensing technologies that integrate DNA nanotechnology and CMOS electronics for next-generation diagnostics. The key objectives of this project grant are to: (1) develop molecular engineering techniques using DNA origami...
This $200,000 Project Grant awarded by the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems aims to develop a novel water quality monitoring system based on plasmonic sensing with metal-insulator-metal (MIM) nanosensors embedded in soft hydrogel matrices. The key research activities include: 1) modeling and designing the Au-SiO2-Au MIM nanosensors using finite element analysis, 2) synthesizing and testing these nanosensors to optimize plasmonic...
The National Science Foundation awarded $473,318 under the Engineering (47.041) federal grant program to the University of Denver from October 2022 through October 2026. The Project Grant funding will support research into developing multiplexed biomedical sensor systems for automated diagnosis using machine learning algorithms. Specifically, the university will investigate plexcimonic structures for ultrasensitive, simultaneous detection of multiple biomarkers. It will also develop algorithms...
This $399,935 National Science Foundation (NSF) Project Grant Award under the Computer and Information Science and Engineering program (CFDA 47.070) aims to develop a portable and cost-effective biomedical diagnostic system in the form of an integrated lab-on-a-chip platform produced using additive manufacturing techniques. The key products and services to be delivered include: Advancing 3D manufacturing techniques, particularly in electrode printing, to enhance fabrication precision and...
This $692,847 federal Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program focuses on integrating efficient edge inference and heterogeneous integration capabilities into sensor systems for health and chemical sensing applications. The key products and services to be delivered include: Developing intelligent sensor systems that leverage Weightless Neural Networks (WNNs) to enable energy-efficient edge...
This National Science Foundation (NSF) Project Grant award under CFDA 47.041 - Engineering aims to develop a new sensing mechanism and approach for a nanopore sensor that can provide ultrasensitive and selective detection of various small molecules, including small biomolecules and bioactive molecules, at the single-molecule level under physiological conditions. The $442,106 award to Florida International University, a Hispanic-Serving Institution, will fund research with two main tasks: (1)...
The National Science Foundation awarded Integrated Medical Sensors Inc. a $256,000 Project Grant under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to develop a novel multi-analyte microsensor platform for continuous wireless monitoring applications. The grant aims to create a unique monolithic semiconductor platform capable of wirelessly monitoring multiple biochemical and physiological markers simultaneously in a sub-cubic millimeter footprint. This miniature,...
This National Science Foundation (NSF) CAREER grant award under the Engineering program (CFDA 47.041) provides $242,687 to the University of Massachusetts to develop an ultrasensitive nanopore biosensor technology for point-of-care detection of infectious disease biomarkers. The key objectives are to: (1) optimize a highly sensitive and robust nanopore sensor, (2) enable specific biomarker detection using automated immunoprecipitation and novel signal transduction, and (3) demonstrate...
The National Science Foundation (NSF) awarded a three-year, $449,999 Project Grant under their Engineering program (CFDA 47.041) to the University of Cincinnati to develop an implantable biosensor platform that can continuously monitor various biomarkers in the body for over a year. The project aims to create a new class of long-lasting aptamer-based sensors protected by robust porous oxide coatings, which would enable the first practical implantable monitoring system for managing chronic...

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 array that can be trained using machine learning techniques to accurately identify multiple target analytes.

As part of this effort, Lehigh University has issued a $232,375 subaward to the Sloan-Kettering Institute for Cancer Research to conduct nanosensor measurements on biological samples, including high-throughput spectroscopy experiments and sample processing. This integrated approach combining materials science, computational modeling, and machine learning is intended to enable the development of a universal biofluid sensing system with potential applications in disease diagnostics. The project commenced on October 1, 2023 and is scheduled for completion by September 30, 2027.

Generated 6/18/24, 8:11 AM