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The system ISCA Technologies ultimately proposes is a pathogen detection and monitoring platform that will allow for the creation of area-wide networks to constantly monitor presence and density of organisms of interest in the environment to provide early detection.
<p>NON-TECHNICAL SUMMARY:<br/> Independent of the field (human health, agriculture, etc.) it is clear that early detection is the only solution to prevent epidemics. Our dual-mode nanosensory platform is a disruptive concept that utilizes two detection modes in a single biosensor chip. In the case of Citrus Tristeza Virus, current detection is slow, expensive, requiring constant human interference and laboratory conditions with plenty of consumables and energy, is not amenable to field operation, and results in only a small portion of introduced pathogens actually being detected before diseases become widespread. Vector control personnel and epidemiologists rely on time consuming, manual methods that often come too late to prevent epidemics, requiring expensive remedial actions such as blanket pesticide applications over entire regions. The dual-mode nanosensory platform will
allow for efficient monitoring for the presence of disease in the field with very low false signaling. This will be useful not only for vector and disease management but also bio-detection in homeland security, health care, agroenvironmental fields and food safety markets, all markets conservatively evaluated at $2 billion per year.<p>
APPROACH: <br/>We propose to integrate in a single, robust, and self-contained device a reliable dual mode detector based on carbon nanotube / conducting polymer hybrid field effect transistor (FET) biosensors and nanoporous gold nanostructure electrochemical (EC) biosensors. We will demonstrate, for the first time, the orthogonality of FET and EC sensors in a single biosensor chip, and also prove the capacity to reduce false positives associated with single biosensors, using dual-mode detection technology. In Phase I we will address the nanosensory detection of Citrus Tristeza Virus (CTV) as the model pathogen, which is the most economically important viral pathogen of citrus species.</p><p>
PROGRESS:<br/>2012/06 TO 2013/01 <br/>OUTPUTS: In the case of Citrus Tristeza Virus, current detection is slow, expensive, requiring constant human interference and laboratory conditions with plenty of consumables and energy, is not amenable to field operation, and results in only a small portion of introduced pathogens actually being detected before disease become widespread. Vector control personnel and epidemiologists rely on time consuming, manual actions such as blanket pesticide applications over entire regions. The Dual-mode nanosensory platform allow for efficient monitoring for the presence of disease in the field with low false signaling. This will be useful not only for vector and disease management but also bio-detection in homeland security, health care, agroenvironmental fields and food safety markets. PARTICIPANTS: Not relevant to this project. TARGET
AUDIENCES: Not relevant to this project. PROJECT MODIFICATIONS: Not relevant to this project.</p>