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Inexpensive High-Throughput Multiplexed Biomarker Detection Using Enzymatic Metallization with Cellphone-Based

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  • 1Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.

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Summary

A new smartphone-based biosensing platform enables low-cost, high-throughput detection of multiple disease biomarkers from small samples. This technology offers sensitive and quantitative results, advancing disease diagnosis and outcome prediction.

Keywords:
COVID-19computer visiondiagnosticsmultiplexingpoint-of-care

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Area of Science:

  • Biomedical Engineering
  • Point-of-Care Diagnostics
  • Biosensing Technology

Background:

  • Multiplexed biomarker detection is crucial for accurate disease diagnosis and prognosis.
  • Enzyme-linked immunosorbent assay (ELISA) is a standard but costly method, limited to single biomarker detection in centralized labs.
  • Existing methods lack the sensitivity, throughput, and portability required for widespread clinical application.

Purpose of the Study:

  • To develop a low-cost, portable biosensing platform for high-throughput, multiplexed biomarker detection.
  • To enable sensitive and quantitative biomarker analysis from minimal clinical sample volumes (<1 μL).
  • To create a smartphone-based system for accessible and reproducible disease diagnostics.

Main Methods:

  • A novel platform utilizes enzymatic metallization to convert biomarker binding into localized, dry-stable silver metal spots.
  • The darkness of silver spots, proportional to biomarker concentration, is quantified using computer vision via a custom smartphone application.
  • The system was validated for multiplexed detection of viral antigen-specific antibodies in COVID-19 patient and vaccine recipient serum.

Main Results:

  • The platform demonstrated high-throughput, sensitive, and quantitative multiplexed biomarker detection.
  • Distinct antibody "fingerprints" were identified in serum samples from convalescent COVID-19 patients and vaccine recipients.
  • The smartphone application enabled easy optical detection and reproducible quantification of biomarkers.

Conclusions:

  • This smartphone-based biosensing platform offers a cost-effective and portable solution for multiplexed biomarker analysis.
  • The technology has significant potential to improve disease diagnosis, outcome prediction, and monitoring of immune responses.
  • The developed system overcomes limitations of traditional methods, enabling advanced diagnostics at the point of care.