ORIGINAL RESEARCH article

Front. Sens.

Sec. Biosensors

Volume 6 - 2025 | doi: 10.3389/fsens.2025.1511104

Radio Frequency Based Detection of Specific and Nonspecific Protein Interaction

Provisionally accepted
  • 1International Institute of Information Technology, Hyderabad, Hyderabad, Andhra Pradesh, India
  • 2Penn State University Erie, Erie, United States

The final, formatted version of the article will be published soon.

Protein detection plays a crucial role in diagnostics and numerous studies. Available protein detection techniques often involve time-consuming and complicated procedures. This report presents a Radio frequency (RF)-based rapid, label-free technique that can be used for differentiation between specific and non-specific binding. The utility of the RF-based technique is demonstrated by taking biotin-streptavidin specific interaction as the model system along with other nonspecific proteins. The study involves the use of an interdigitated capacitor-based RF sensor that differentiates the variation in the resonance frequency of the analytes with specific or nonspecific protein binding. The protein binding event is carried out in the presence of gold nanoparticles, which provide the surface functionality for binding. The specific binding of biotin-streptavidin is characterized by a constant resonance frequency which does not vary with time or after use of the wash buffer. Contrarily, the resonance frequency shows significant variation in the case of the non-specific interactions like biotin-cytochrome C and biotin-lysozyme. A simulation-based analysis performed using High Frequency Structure Simulator (HFSS) corroborates the finding. The invariant resonance frequency response of the specific protein binding can be utilized as the basis of specific protein detection using RF sensing. The facile RF sensor shows excellent potential as a rapid, reusable, and versatile platform that can be performed remotely without sophisticated laboratory arrangements for protein detection.

Keywords: RF, Radio Frequency, bio, Sensing, protein

Received: 14 Oct 2024; Accepted: 24 Jun 2025.

Copyright: © 2025 Mazumder, Biswas, Sau, Bhimalapuram and Syed. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Azeemuddin Syed, Penn State University Erie, Erie, United States

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.