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Related Experiment Video

Updated: Apr 6, 2026

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SPRi-based adenovirus detection using a surrogate antibody method.

Pegah N Abadian1, Nimet Yildirim2, April Z Gu3

  • 1Department of Chemical Engineering, Northeastern University, Boston, MA 02115, USA.

Biosensors & Bioelectronics
|August 2, 2015
PubMed
Summary
This summary is machine-generated.

A novel biosensor rapidly detects adenoviruses, a common waterborne virus, with high sensitivity and specificity. This advancement aids environmental monitoring and public health protection against viral diseases.

Keywords:
AdenovirusAntibody-basedSPRiSensorSurface plasmon resonance imaging

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Area of Science:

  • Environmental Science
  • Biotechnology
  • Infectious Diseases

Background:

  • Adenovirus is a prevalent waterborne viral pathogen causing significant human morbidity.
  • Rapid and sensitive detection methods for environmental adenovirus are crucial for public health.
  • Existing detection methods may lack the speed or sensitivity required for immediate environmental monitoring.

Purpose of the Study:

  • To develop a rapid, real-time, sensitive, and label-free biosensor for adenovirus detection.
  • To achieve highly selective detection of adenoviruses in environmental samples.
  • To establish a quantitative detection range for the developed biosensor.

Main Methods:

  • Developed a Surface Plasmon Resonance imaging (SPRi)-based biosensor.
  • Utilized a sandwich assay format with specific adenovirus antibodies.
  • Immobilized a secondary antibody on the SPRi chip to capture unbound primary antibodies.

Main Results:

  • Achieved a linear detection range from 10 to 5000 PFU/mL with R(2) > 0.9.
  • Demonstrated high specificity, with less than 20% signal change in the presence of rotavirus and lentivirus.
  • The biosensor provided real-time, label-free detection based on reflectivity changes.

Conclusions:

  • The developed SPRi biosensor offers a rapid, sensitive, and selective method for adenovirus detection.
  • This technology has significant potential for environmental monitoring and early warning systems for adenovirus outbreaks.
  • The label-free and real-time nature of the biosensor enhances its utility for public health applications.