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Related Concept Videos

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Related Experiment Video

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Bacterial Detection & Identification Using Electrochemical Sensors
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Utilizing COVID-19 as a Model for Diagnostics Using an Electrochemical Sensor.

Ava Gevaerd1, Emmanuelle A Carneiro1, Jeferson L Gogola1

  • 1Research and Development Department, Hilab Campus, Rua José A. Possebom, 800, Curitiba, Parana 81270-185, Brazil.

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|June 27, 2024
PubMed
Summary

A new electrochemical sensor rapidly detects COVID-19 N-protein (N-PROT) using impedance spectroscopy. This cost-effective immunosensor offers high accuracy for point-of-care diagnostics and mass testing.

Keywords:
SARS-CoV-2electrochemical sensornucleocapsid proteinpoint-of-care testscreen-printed electrodes

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Area of Science:

  • Electrochemistry
  • Biosensors
  • Medical Diagnostics

Background:

  • Accurate detection of COVID-19 N-protein (N-PROT) is crucial for disease diagnosis.
  • Existing diagnostic methods may have limitations in speed, cost, or accessibility.

Purpose of the Study:

  • To develop a rapid, sensitive, and selective electrochemical sensor for N-PROT detection.
  • To evaluate the sensor's performance for potential point-of-care applications.

Main Methods:

  • Utilized single-frequency electrochemical impedance spectroscopy (EIS) for real-time N-PROT measurement.
  • Employed gold-conjugate-modified carbon screen-printed electrodes (Cov-Ag-SPE) in an immunosensor system.
  • Optimized stimulation signal (0.0 V DC, 10 mV RMS-1 AC at 100 Hz for 300 s) for high selectivity.

Main Results:

  • Achieved a log-linear response for N-PROT detection across concentrations from 1.0 ng mL-1 to 10.0 μg mL-1.
  • Demonstrated high selectivity with a 0.977 correlation coefficient for phase variation.
  • Classified 252 samples using an ML-based approach, achieving 83.0% sensitivity, 96.2% specificity, and 91.3% accuracy.

Conclusions:

  • The developed Cov-Ag-SPE immunosensor provides a rapid and sensitive method for N-PROT quantification.
  • The sensor's performance, coupled with low-cost portable instrumentation, supports its application in resource-limited point-of-care diagnostics.
  • This technology offers a viable alternative to conventional COVID-19 diagnostic methods for mass testing.