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DNA probes are fragments of DNA labeled with a reporter tag to enable their detection or purification. The resulting labeled DNA probes can then hybridize to target nucleic acid sequences through complementary base-pairing, and may be used to recover or identify these regions.
Radioisotopes, fluorophores, or small molecule binding partners like biotin or digoxigenin, are the most widely used reporter tags for labeling DNA probes. These labels can be attached to the probe DNA molecule via...
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A Microfluidic-based Electrochemical Biochip for Label-free DNA Hybridization Analysis
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Wireless power-up and readout from a label-free biosensor.

Hassan Raji1, Pengfei Xie2, Muhammad Tayyab2

  • 1Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, 08854, USA. hassan.raji@rutgers.edu.

Biomedical Microdevices
|January 9, 2025
PubMed
Summary

This study introduces a novel wireless electronic biosensor for detecting protein biomarkers, eliminating complications associated with wired devices. The wireless biosensor successfully quantifies protein biomarkers in patient samples, paving the way for advanced medical diagnostics.

Keywords:
BiosensorsElectrochemical Impedance Spectroscopy (EIS)Label-freeProtein detectionRheumatoid arthritisWireless Power Transfer (WPT)

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Area of Science:

  • Biomedical Engineering
  • Biosensor Technology
  • Medical Diagnostics

Background:

  • Wired biosensors pose risks like infection and surgical complications.
  • Wireless power transfer offers a solution for remote biosensing applications.
  • Eliminating batteries and energy harvesters reduces sensor size.

Purpose of the Study:

  • To develop and demonstrate a novel wireless readout method for a label-free electronic biosensor.
  • To detect protein biomarkers and antibodies wirelessly.
  • To enable real-time, remote physiological monitoring.

Main Methods:

  • Development of a wireless electronic biosensor system.
  • Detection of target proteins and antibodies using impedance changes.
  • Real-time wireless quantification of cytokines in patient serum.
  • Application of a Fine Gaussian Support Vector Machine for data analysis.

Main Results:

  • Successful wireless detection of target protein and antibodies.
  • Distinguished target protein from negative controls via impedance changes (P=0.00788).
  • Demonstrated real-time wireless quantification of cytokines in rheumatoid arthritis patient serum (P=0.00891).
  • Achieved high accuracy in differentiating proteins using a Support Vector Machine.

Conclusions:

  • This work presents the first wireless readout of a label-free electronic biosensor for protein biomarker detection.
  • The developed wireless biosensor system is effective for detecting and quantifying biomarkers in biological samples.
  • This technology holds potential for minimally invasive, remote diagnostics and disease monitoring.