Analytical Model to Describe the Effect of Polyethylene Glycol on Ionic Screening of Analyte Charges in Transistor-Based Immunosensing

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Natalie Haustein - (Author)
  • Óscar Gutiérrez-Sanz - (Author)
  • Alexey Tarasov - (Author)

Abstract

Recently, the co-immobilization of polyethylene glycol has improved sensor responses of transistor-based immunosensing by approximately three times. However, there is currently no analytical model available to explain this empirical effect. The key parameters thought to affect the potential are the receptor density, the capacitance, the analyte charge, and the dissociation constant. Based on our experimental data, only the analyte charge can account for the signal enhancement. To capture the effect of PEG on the analyte charge, we introduce a prefactor, the detectable charge q det , which represents the portion of analyte charges effectively detected by the sensor. This parameter can quantitatively describe the PEG-induced signal enhancement and can be used to recommend the choice of PEG size for immuno-field-effect transistors. Additionally, we include the competition between electrolyte ions and the analyte for binding to the recognition molecule to more accurately describe the concentration-dependent sensor responses than the traditional Langmuir binding model does.

Details

Original languageEnglish
Pages (from-to)874-882
Number of pages9
JournalACS sensors
Volume4
Issue number4
Publication statusPublished - 26 Apr 2019
Peer-reviewedYes

External IDs

PubMed 30839200

Keywords

Keywords

  • competitive binding, Debye screening length, Donnan potential, field-effect transistor, immunosensing