Computational biosensors: Molecules, algorithms, and detection platforms

Elebeoba May, Jason C. Harper, Susan M. Brozik

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

Advanced nucleic acid-based sensor-applications require computationally intelligent biosensors that are able to concurrently perform complex detection and classification of samples within an in vitro platform. Realization of these cutting-edge computational biosensor systems necessitates innovation and integration of three key technologies: molecular probes with computational capabilities, algorithmic methods to enable in vitro computational post processing and classification, and immobilization and detection approaches that enable the realization of deployable computational biosensor platforms. We provide an overview of current technologies, including our contributions towards the development of computational biosensor systems.

Original languageEnglish (US)
Title of host publicationModeling and Optimization in Science and Technologies
PublisherSpringer Verlag
Pages541-577
Number of pages37
Volume9
DOIs
StatePublished - 2017

Publication series

NameModeling and Optimization in Science and Technologies
Volume9
ISSN (Print)21967326
ISSN (Electronic)21967334

Keywords

  • Application- and Substrate-specific algorithms
  • Biomolecular logic systems
  • Computational biosensors
  • Deoxyribozymes
  • Digital biosensors
  • DNA computing
  • DNA detection
  • Enzymes
  • Intelligent biosensor

ASJC Scopus subject areas

  • Modeling and Simulation
  • Medical Assisting and Transcription
  • Applied Mathematics

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