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

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Natalie Haustein - (Autor:in)
  • Óscar Gutiérrez-Sanz - (Autor:in)
  • Alexey Tarasov - (Autor:in)

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

OriginalspracheEnglisch
Seiten (von - bis)874-882
Seitenumfang9
FachzeitschriftACS sensors
Jahrgang4
Ausgabenummer4
PublikationsstatusVeröffentlicht - 26 Apr. 2019
Peer-Review-StatusJa

Externe IDs

PubMed 30839200

Schlagworte

Schlagwörter

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