4.8 Article

Flow-Through vs Flow-Over: Analysis of Transport and Binding in Nanohole Array Plasmonic Biosensors

Journal

ANALYTICAL CHEMISTRY
Volume 82, Issue 24, Pages 10015-10020

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/ac101654f

Keywords

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Funding

  1. Natural Sciences and Engineering Research Council of Canada, NSERC
  2. Canada Research Chairs Program
  3. Canada Foundation for Innovation
  4. British Columbia Knowledge Development Fund
  5. BC Cancer Agency Trev
  6. Joyce Deeley Antibody Research Unit
  7. Micralyne Inc.

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We quantify the efficacy of flow-through nanohole sensing, as compared to the established flow-over format, through scaling analysis and numerical simulation. Nanohole arrays represent a growing niche within surface plasmon resonance-based sensing methods, and employing the nanoholes as nanochannels can enhance transport and analytical response. The additional benefit offered by flow-through operation is, however, a complex function of operating parameters and application-specific binding chemistry. Compared here are flow-over sensors and flow-through nanohole array sensors with equivalent sensing area, where the nanohole array sensing area is taken as the inner-walls of the nanoholes. The footprints of the sensors are similar (e.g., a square 20 pm wide flow-over sensor has an equivalent sensing area as a square 30 pm wide array of 300 nm diameter nanoholes with 450 nm periodicity in a 100 nm thick gold film). Considering transport alone, an analysis here shows that given equivalent sensing area and flow rate the flow-through nanohole format enables greatly increased flux of analytes to the sensing surface (e.g., 40-fold for the case of Q = 10 nL/min). Including both transport and binding kinetics, a computational model, validated by experimental data, provides guidelines for performance as a function of binding time constant, analyte diffusivity, and running parameters. For common binding kinetics and analytes, flow-through nanohole arrays offer similar to 10-fold improvement in response time, with a maximum of 20-fold improvement for small biomolecules with rapid kinetics.

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