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February 19, 2026Scientific Reports0 citationsOpen Access

An engineered M13 phage–rGO electrochemical biosensor for rapid detection of viral protein in complex matrices

HAHamda AlshehhiLTLina TizaniSPSelvakumar Palanisamy

Key Points

  • This research aims to develop a rapid, antibody-free biosensor for detecting SARS-CoV-2 spike proteins in complex samples.
  • Developed an electrochemical biosensor using engineered M13 phages on a reduced graphene oxide transducer.
  • Employed a chemiresistive detection mechanism with a fixed low-voltage bias.
  • Tested detection capabilities in various complex matrices such as fetal bovine serum and wastewater.
  • Evaluated sensor response using a binary detection criterion.
  • Achieved detection of S1 protein with a limit of detection of 10⁻⁴ pg/mL in buffer.
  • Demonstrated matrix tolerance in complex sample environments.
  • Showed comparable sensitivity to antibody-functionalized sensors but with enhanced tunability and scalability.

Abstract

The demand for rapid and scalable biosensing technologies has motivated the development of antibody-free platforms capable of operating in complex sample environments. Here, we report an electrochemical biosensor based on engineered M13 bacteriophages displaying a SARS-CoV-2 spike S1-binding peptide immobilized on a reduced graphene oxide (rGO) transducer. The sensor employs a chemiresistive detection mechanism under a fixed low-voltage bias, enabling rapid electrical readout following target binding. Detection of S1 protein was achieved in buffer and in spiked complex matrices, including fetal bovine serum, pasteurized milk, and wastewater, demonstrating matrix tolerance under the tested conditions. The biosensor response is evaluated using a statistically defined binary detection criterion, with an operational limit of detection of 10⁻4 pg/mL in buffer. Compared to a previously reported antibody-functionalized rGO sensor fabricated using the same platform, the phage-based biosensor exhibits comparable sensitivity while offering advantages in genetic tunability and production scalability. While the present study focuses on proof-of-concept validation using spiked samples, these results highlight the potential of engineered phage-graphene interfaces as adaptable biorecognition elements for rapid electrochemical protein sensing in complex environments.

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Cite This Study

Alshehhi et al. (2026) studied this question.

synapsesocial.com/papers/6996a7b5ecb39a600b3ed9aehttps://doi.org/10.1038/s41598-026-37008-w
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