Grant: Strategic Projects Supplemental Competition
University of Alberta
$97,750.00
Dynamic modeling for prediction of toxicity induced by pollutants in complex water mixture
FY 2007-08
Summary
This strategic research is to develop a high-performance early warning monitoring systems for water resources so that citizens can receive early warning if hazardous events occur. The technology to be developed will have a great potential to gain a critical time lead for detection of disastrous events in water resources so that measures can be taken to reduce or eliminate dangerous consequences. A real-time cell electronic sensor (RT-CES) array has recently been proven valuable for continuously monitoring dynamic cytotoxicity responses of living cells. With RT-CES technology, we have established apreliminary framework for dynamic cytotoxicity modeling by applying dynamic systems modeling theory and this dynamic model has shown a great potential in modeling cell dynamics in the presence of toxicant and, more importantly, predicting the cytotoxicity response of the cells. The success of our preliminary study leads to this proposal. We expect that this monitoring system has a great potential to be more reliable, more accurate, more environmentally and ecologically friendly, and faster than other conventional methods. The key technology to be used includes dynamic RT-CES monitoring system, rigorous mathematical modeling, dynamic predictions, and direct testing of the toxicant effect on living cells.
Program
Strategic Projects Supplemental Competition
Recipient
Location
Alberta, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
357010-2007
Name nom
Huang, Biao
Department département
Chemical and Materials Engineering
Organization id
9
Institution établissement
University of Alberta
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2007
Competition year année de concours
2007
Award amount
97750
Program id
STPSC
Program name en
Strategic Projects Supplemental Competition
Program name fr
Projets stratégiques compétition supplémentaire
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1069
Committee name en
Strategic Projects Selection Panel - Environment 2
Committee name fr
Comité de sélection des projets stratégiques - Environnement 2
Area of application code
702
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Water
Area of application fr
Maritime
Research subject code
1501
Research subject group en
Environmental engineering
Research subject group fr
Génie de l'environnement
Research subject en
Water quality, pollution
Research subject fr
Qualité de l'eau, pollution
Partie
1
Nb partie
2
Application title
Dynamic modeling for prediction of toxicity induced by pollutants in complex water mixture
Keyword
NA
Application summary
This strategic research is to develop a high-performance early warning monitoring systems for water resources so that citizens can receive early warning if hazardous events occur. The technology to be developed will have a great potential to gain a critical time lead for detection of disastrous events in water resources so that measures can be taken to reduce or eliminate dangerous consequences. A real-time cell electronic sensor (RT-CES) array has recently been proven valuable for continuously monitoring dynamic cytotoxicity responses of living cells. With RT-CES technology, we have established apreliminary framework for dynamic cytotoxicity modeling by applying dynamic systems modeling theory and this dynamic model has shown a great potential in modeling cell dynamics in the presence of toxicant and, more importantly, predicting the cytotoxicity response of the cells. The success of our preliminary study leads to this proposal. We expect that this monitoring system has a great potential to be more reliable, more accurate, more environmentally and ecologically friendly, and faster than other conventional methods. The key technology to be used includes dynamic RT-CES monitoring system, rigorous mathematical modeling, dynamic predictions, and direct testing of the toxicant effect on living cells.