Molecular Engineering of Surfaces for Sensing and Detection

Abstract

There are three challenges in the development of surfaces for sensing and detection: sensitivity (i.e., low detection limit), specificity (i.e., false positives and negatives), and robustness (simultaneous detection of multiple analytes). These three issues are addressed in this work with the main focuses on control of protein orientation and creation of protein arrays. The ability to control, probe, and predict protein orientation will facilitate the development of biosensors with high sensitivity and specificity. In this work, a charge-driven protein orientation principle was proposed. Molecular simulations were first performed to predict protein orientation on a surface under a wide range of conditions. Simulation results showed that there is indeed a distinct difference in protein orientation on different charged surfaces. Surface Plasmon Resonance (SPR) and Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS) experiments were then performed to confirm simulation results. Protein arrays are an attractive platform for many applications in sensing and detection, yet due to challenges with fabrication, storage, and protein stability they have not realized their full potential. In this work, a novel single stranded DNA probe surface is introduced, which when used in conjunction with a simple DNA-antibody conjugate, produces a biosensor surface with superior sensitivity, protein resistance and chip stability.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2005
Accession Number
ADA437904

Entities

People

  • Shaoyi Jiang

Organizations

  • University of Washington

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Amino Acids
  • Chemical Synthesis
  • Chemistry
  • Detection
  • Dna Microarrays
  • Mass Spectrometry
  • Military Research
  • Molecular Dynamics
  • Molecules
  • Polymers
  • Proteins
  • Resistance
  • Self Assembled Monolayers
  • Simulations
  • Surface Chemistry
  • Surface Plasmon Resonance

Readers

  • Computational Modeling and Simulation
  • Molecular Genetics
  • Nanoscale Plasmonic Nanotechnology

Technology Areas

  • Biotechnology