DocumentCode :
1983670
Title :
Microbioengineering: microbe capture and detection
Author :
Powers, Linda ; Lloyd, C. ; Mason, H.-Y. ; Dice, M. ; Tingy, R. ; Estes, R. Tingy C ; Duncan, A. ; Wade, B. ; Ellis, W., Jr.
Author_Institution :
Dept. of Electr. & Comput. Eng., Utah State Univ., Logan, UT, USA
Volume :
4
fYear :
2001
fDate :
2001
Abstract :
Summary form only given. Recent deaths from outbreaks of microbial contamination particularly in foods, but also in water and air, the recent threats of biological warfare/terrorism, and the re-emergence of such diseases as tuberculosis have emphasized the importance of quick and accurate assessments of microbial contamination. In addition, microbial contamination of sterile surfaces, such as those of medical and surgical instruments and devices, cause considerable danger. Using a unique combination of leading edge technologies, microbe capture chips and a hand-held prototype detector have been developed which are capable of statistically sampling the environment for pathogens [including spores] and exotoxins, identifying the specific pathogens/exotoxins, and determining cell viability. This system is sensitive enough to detect very low levels [∼20 cells/sq cm] of infectious bacteria in minutes. The microbe capture technology is based on molecular recognition and pathogenesis using iron acquisition and eukaryotic receptor adhesion strategies. These non-antibody-based ligands are tethered to the sensor chip in a patterned array. In addition to statistically sampling the environment, pathogen identification can be made based on which ligands are bound by microbes. Capture events are detected using intrinsic fluorescence of the cells and spores such as that from metabolites, amino acids, and other specific cell components. The multi-wavelength fluorescence detection device incorporates integrated parallel ´readout´ of the sensor chip and employs a pattern recognition algorithm for pathogen identification. This system is both several orders of magnitude more sensitive and several orders of magnitude faster than current field sensors.
Keywords :
biochemistry; biosensors; cellular biophysics; diseases; fluorescence; microorganisms; molecular biophysics; pattern recognition; pollution measurement; surface contamination; air; amino acids; biological warfare; capture events; cell viability; environment statistical sampling; eukaryotic receptor adhesion strategies; exotoxins; foods; hand-held prototype detector; infectious bacteria; integrated parallel readout; intrinsic fluorescence; iron acquisition; ligands; medical instruments; metabolites; microbe capture; microbe capture chips; microbe detection; microbial contamination; microbioengineering; molecular recognition; multi-wavelength fluorescence detection device; nonantibody-based ligands; pathogen identification; pathogenesis; pathogens; pattern recognition algorithm; patterned array; sensor chip; specific cell components; spores; sterile surfaces; surgical instruments; terrorism; tuberculosis; very low levels; water; Diseases; Fluorescence; Fungi; Pathogens; Sampling methods; Sensor arrays; Surface contamination; Surgical instruments; Terrorism; Water pollution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
ISSN :
1094-687X
Print_ISBN :
0-7803-7211-5
Type :
conf
DOI :
10.1109/IEMBS.2001.1019739
Filename :
1019739
Link To Document :
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