Project Grant 2344373
- This $650,000 Project Grant award from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) supports the development of engineered microbial sensors for assessing water quality. The primary objective is to create new low-cost sensing systems that can detect chemicals in water throughout the water cycle, including wastewater treatment, drinking water, industrial use, and stormwater discharges. The project employs a convergence research...
- The National Science Foundation (NSF) awarded a $649,998 Project Grant under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to The Washington University and the University of Illinois Urbana-Champaign. The goal of the project is to develop a new passive water quality monitoring tool based on point-of-use water filters to address inequities in drinking water quality monitoring for under-resourced and minority populations. The Washington University will lead the...
- This $2,495,019 project grant from the National Science Foundation (NSF), under the Computer and Information Science and Engineering program (CFDA 47.070), will support the development and deployment of a smart, cloud-connected electrochemical sensor network to monitor drinking water quality in several socioeconomically diverse Massachusetts communities. The University of Massachusetts Lowell will work with community stakeholders and sub-awardees Loyola University Chicago, the Young Women's...
- This National Science Foundation Project Grant award to Northwestern University, under the Biological Sciences federal grant program (CFDA 47.074), provides $3,000,000 over 5 years to develop rapid, in-home water quality biosensors to address global water security challenges. The project will leverage insights from the study of natural microbial water contaminant detection to create a synthetic biology biotechnology platform for detecting lead, copper, and per- and polyfluoroalkyl substances...
- The National Science Foundation awarded a $254,976 Project Grant to Resbonds International Corporation through the Engineering program (CFDA 47.041) to develop a digital platform for assessing water quality at urban-watershed interfaces. The platform will integrate physical data from advanced monitoring systems with artificial intelligence to serve as a scalable analytics platform using environmental, economic, and social data. It aims to help cities and utilities finance infrastructure projects...
- The National Science Foundation (NSF) awarded a $213,430 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to The Ohio State University to develop a novel, miniature, fiber-optic multiparameter sensor capable of simultaneously measuring critical water quality and greenhouse gas parameters in lakes. The goal is to create an easy-to-deploy, cost-effective sensor that can provide high-resolution, year-round data to better understand the carbon...
- The National Science Foundation (NSF) awarded a $459,803 Project Grant under the Biological Sciences (CFDA 47.074) Federal Grant Program to the Science Museum of Minnesota to develop global frameworks for understanding river biogeochemical signals. The research aims to better predict changes in river chemistry and water quality across diverse watersheds by analyzing long-term water chemistry and flow data from over 450 rivers worldwide. The investigators will use machine learning and advanced...
- This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $200,000 to Rowan University to develop a portable, low-cost sensor system that can detect per- and polyfluoroalkyl substances (PFAS), known as "forever chemicals," in water in real-time. The sensor integrates a specially designed fluorous electrochromic polyaniline material with an extended gate field-effect transistor to achieve high accuracy and reliability in detecting...
- 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...
- This $597,550 Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports the development of self-biased microparticles to increase reaction rates in microbial electrochemistry. The project aims to create tiny particles that combine solar-powered electronics with bacterial activity, accelerating biological reactions for wastewater treatment, energy production, and environmental monitoring. The award recipient, the Regents of the University of...
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 pollutants that threaten human and ecosystem health in freshwater and managed water systems. This project will leverage expertise in engineering, environmental chemistry, artificial intelligence, and water resource management to create real-time, cost-effective water quality monitoring capabilities. The resulting data will improve decision-making and prompt actions to ensure societal and environmental health, with a focus on benefiting underserved communities disproportionately impacted by water pollution. The award period runs from January 15, 2024 to December 31, 2024.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $650.0k | 1/11/24 |