{"id":108,"date":"2019-09-06T21:59:10","date_gmt":"2019-09-06T21:59:10","guid":{"rendered":"https:\/\/sites.wp.odu.edu\/bel\/?page_id=108"},"modified":"2019-09-07T04:02:27","modified_gmt":"2019-09-07T04:02:27","slug":"research","status":"publish","type":"page","link":"https:\/\/sites.wp.odu.edu\/bel\/research\/","title":{"rendered":"RESEARCH"},"content":{"rendered":"\n<p><strong>Self-powered implantable biosensors for  glucose and trauma monitoring<\/strong><\/p>\n\n\n\n<p>We are currently developing non-invasive clinical diagnostic devices to\nbetter diagnose diseases. Particular attention is given to enzyme\nelectrodes for monitoring glucose in connection to the management of\ndiabetes as well as patient vital signs data. We are focusing our\nattention on new nanomaterial-based electrochemical biosensors by\nexploring new nanoparticle-based signal amplification and carbon-nanotube\nmolecular wires for achieving efficient electrical communication with\nredox enzymes capable of detecting picomolar concentrations of analytes\nwhile simultaneously transmitting data wirelessly to a base station for\nprocessing. In combination with the use of predictive modeling algorithm,\nimportant features can be extracted from patient\u2019s vital signs data at a\nbase station.  This will enable physicians and combat soldiers to\nproactively meet emerging health threats by adjusting patient\u2019s or\nsoldier\u2019s therapy accordingly, thereby prolonging life and leading to\nbetter clinical and military decisions and outcomes. The developed signal\nprocessing based physical layer network protocol will increase throughput\nby reducing network complexity and increasing the power efficiency in a\npower-limited and secure communication environment.<\/p>\n\n\n\n<p><strong>Impact:<\/strong> The self-powered wireless implantable biosensor will make fundamental contributions to signal processing for wireless communication that have broad impacts on medical diagnosis and soldier monitoring in theatre. Coding solutions to achieve high-performance and high-throughput wireless networks are being developed. The implantable biosensors have great value to diabetes and trauma care patients, as well as soldiers in theatre (military).<\/p>\n\n\n\n<p><strong>Bioelectronic Devices: Nanogenerators &amp; nanobiofuel cell for autonomous\nbiosensing<\/strong><\/p>\n\n\n\n<p>The bioelectronic device platform investigates the use of carbon nanotubes\nand nanowire arrays in nanogenerator and nanobiofuel cell design with the\ngoal of directly harnessing and storing inertial power. The power storage\nand management capabilities of these devices are to increase useful time\nbetween charges. These nanogenerators and nanobiofeul cells are\nlightweight, flexible, and portable and could be used as self-powering\ncomponents for applications such as personalized biosensors, wireless\nsensors, and portable electronics. The bioelectronic device structures\nprovide the following advantages:<\/p>\n\n\n\n<ul><li>Increased power output per active surface area<\/li><li>Capability of generating power continuously<\/li><li>Lightweight and ability to be implanted or attached to fabric (wearable device)<\/li><\/ul>\n\n\n\n<p><strong>Impact:<\/strong> Theses power generators are expected to provide proof-of-concept and for use with powering highly functional implantable biosensors.<\/p>\n\n\n\n<p><strong>NeuroChip: A software-defined biosensor<\/strong><\/p>\n\n\n\n<p>The NeuroChip sensing platform is a combination of a sensing element\n(neurons), an analog interface circuit, an analog to digital converter, a\nmicrocontroller\/ digital signal processor and a bus interface in one\npackage. With several intelligent functions such as priori knowledge,\nself-testing, and self-adaptation, the NeuroChip is capable of measuring\nthe electrical signal patterns of various biochemical threats on the cells\nin near real-time. This device is based on the growth and differentiation\nof neural cells using micro\/ nanofluidics strategies to reduce the time\nand reagent required. Since the NeuroChip can identify biochemical threat\nas well as to extend detection to evolving or engineered biochemical\nthreats, it can prove invaluable to the situational awareness of\nbiochemical threats. Using artificial neural networks, design\nclassification algorithms are used to identify target biochemical threats\nagainst a complex library of biochemical threat.<\/p>\n\n\n\n<p><strong>Impact:<\/strong> The NeuroChip project is an alternative monitoring system to animal testing that is capable of identifying a wide array of biochemical threats not limited to those used in the laboratory by deploying software algorithms that can identify additional biochemical threats and store the new found threat in a global biochemical threat library.<\/p>\n\n\n\n<p><strong>Application-specific sensor system for trauma and Environmental monitoring<\/strong><\/p>\n\n\n\n<p>Application-specific sensor system is a generalized sensing platform to\nidentify a large number of volatile organic compounds (VOCs), while\nleveraging biosensor technology and automated processing. This novel\napplication-specific gas sensing system can distinguish specific trace\namounts of chemicals that are associated with a particular class of odor\n(VOCs) and it is specifically designed to be non-specific, where the\noverall VOCs signal pattern is monitored, processed using statistical\nmodels and then classified. The research includes an examination of sensor\nperformance through design and material selection (conductive polymers),\ncharacterization of the sensing of various VOCs, and the development of a\ndesign classification algorithm that can identify the presence of specific\nVOCs by analyzing the recorded signals from the sensor array against a\ncomplex VOC library.<\/p>\n\n\n\n<p><strong>Impact:<\/strong> The application-specific sensor system seeks to emulate the basic\nstrategy behind the human olfactory system, where many non-specific\nrecognition elements are used in conjunction with software to analyze and\nclassify the overall capture signal pattern. Because of its flexibility\nand adaptability, application-specific sensor system will offer the health\ncare and military warnings.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Self-powered implantable biosensors for glucose and trauma monitoring We are currently developing non-invasive clinical diagnostic devices to better diagnose diseases. Particular attention is given to enzyme electrodes for monitoring glucose <a class=\"more-link\" href=\"https:\/\/sites.wp.odu.edu\/bel\/research\/\">Continue Reading &rarr;<\/a><\/p>\n","protected":false},"author":13855,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"_links":{"self":[{"href":"https:\/\/sites.wp.odu.edu\/bel\/wp-json\/wp\/v2\/pages\/108"}],"collection":[{"href":"https:\/\/sites.wp.odu.edu\/bel\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.wp.odu.edu\/bel\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.wp.odu.edu\/bel\/wp-json\/wp\/v2\/users\/13855"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.wp.odu.edu\/bel\/wp-json\/wp\/v2\/comments?post=108"}],"version-history":[{"count":3,"href":"https:\/\/sites.wp.odu.edu\/bel\/wp-json\/wp\/v2\/pages\/108\/revisions"}],"predecessor-version":[{"id":281,"href":"https:\/\/sites.wp.odu.edu\/bel\/wp-json\/wp\/v2\/pages\/108\/revisions\/281"}],"wp:attachment":[{"href":"https:\/\/sites.wp.odu.edu\/bel\/wp-json\/wp\/v2\/media?parent=108"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}