1. University of Missouri DETECTION AND SURVEILLANCE Sheila Grant Department of Biological Engineering UMC

2. University of Missouri Goal Goal is to ensure that early and accurate detection is available for important pathogens and zoonotic pathogens in various environments and deployment mechanisms

3. University of Missouri Methods of Introduction Aerosol release Food supply Water supply Direct infection Direct exposure from infected people/animals

4. University of Missouri How to Protect? Biological sensorsField RT-PCR Syndromic surveillance

5. University of Missouri Introduction of FAD Sensors: “Detect” Syndromic: “Increase vigilance” Field PCR: “Increased surveillance” Detect? Provisional containment measures implemented yes Laboratory confirmation no Continue surveillance Implement response measures Integration of Surveillance Mechanisms

6. University of Missouri Sensor Development 1.Biological detection elements and transducer system 2.Microfabrication 3.(Aerosol collection) 4.Signal processing, transmission, and networking 5.Modeling

7. University of Missouri Biological detection element and transducer systems Biological Detectors antibodies peptides receptors = bioterrorist agents Biosensor system Transducersoptical acoustic wave electrochemical +

8. University of Missouri FRET Immunosensor Protein A DD o 1 2 measures the conformational changes that occurs when antibodies bind to select agents technique can eliminate false positives since only viable agents can elicit a conformational change.

9. University of Missouri Sensing Peptides Mechanical: Shear Horizontal-SAW (SH-SAW) biosensors will detect enzymes in an aqueous solution. This device will detect a change in wave propagation speed as the targeted enzyme in solution cleaves a specific peptide-construct, vastly increasing specificity. Optical: Additionally, labeled peptide-constructs can be immobilized to gold nanoparticles, which effectively quenches fluorescence. Upon interactions with target enzymes, the peptide is cleaved and fluorescence is enhanced.

10. University of Missouri Upon SNARE cleavage, Au particles are released Upconversion is possible to detect Microsphere doped with Erbium at the surface 980 nm laser SNARE Au nanoparticle Au nanoparticles spoil Q-factor Upconversion is inhibited Ring resonator toxin sensor using fluorescence method

11. University of Missouri Microfabrication and Nanotechnology Peristaltic Micro-pumps Nanoporous waveguide materials

12. University of Missouri Inline Detection using liquid core wave-guide (LCW) Analyte solution being pumped in Detector Excitation source Meandering Type Micro-mixer Anodic Bonding between the two substrates Waste Chamber Micro channel with a Liquid core wave- guide Output Reservoir Input Reservoir Light guide Excitation Window Water PDMS Nanoporous Silica Cross Detection using solid core wave-guide Signal detection on a chip

13. University of Missouri Integrated Fluorescence Assay on a Chip Short light pulses are generated by the laser and directed onto the sensor fluorophore inside the flowcell.

14. University of Missouri Future directions Real time detection Centralized data based system Modeling

15. University of Missouri Acknowledgements Xudong (Sherman) Fan Frank Feng Shubhra Gangopadhyay Kevin Gillis Mark Haidekker Susan Lever Darcy Lichlyter Graduate Students Shantanu Bhattacharya Rosalynn Manor Mary Pierce (now employed by MRI) Lisa Boettcher