Computational Sensing and in vitro Classification of GMOs and Biomolecular Events

Abstract

The increasing threat of microbial weapons of mass destruction (WMD) creates a critical need for rapid development and deployment of target-specific microsensor detection systems. Next-generation biosensor-dependent technologies must incorporate intelligence into the microsensor platform, enabling the execution of complex detection tasks, such as systematic identification and classification of microbial agents and genetically modified organisms (GMOs) in the presence of non-lethal agents. Using an information and coding theoretic framework we develop a de novo method for mapping a generic bio-detection and classification problem to deoxyribozyme-compliant algorithms. We implement an algorithm on our novel computational biosensor system and as a proof-of-concept develop an application-specific, computational biosensor for concurrent detection and classification of H5N1 regional strains.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2008
Accession Number
ADA505820

Entities

People

  • Elebeoba May
  • Miler T. Lee
  • Monica Manginell
  • Patricia Dolan
  • Paul Crozier
  • Susan Brozik

Organizations

  • Sandia National Laboratories

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Biology
  • Biosensors
  • Classification
  • Computational Biology
  • Detection
  • Detectors
  • Fluorescence
  • Genetic Engineering
  • Genetically Modified Organisms
  • Hong Kong
  • Identification
  • Molecules
  • Platforms
  • Recognition
  • Target Recognition

Fields of Study

  • Biology

Readers

  • Distributed Systems and Data Platform Development
  • Instructional Design and Training Evaluation.
  • Molecular and Cellular Biochemistry

Technology Areas

  • Biotechnology