Phage Display Against 2D Metal–Organic Nanosheets as a New Route to Highly Selective Biomolecular Recognition Surfaces
Peptides are important biomarkers for various diseases, however distinguishing specific amino-acid sequences using artificial receptors remains a major challenge in biomedical sensing. This study introduces a new approach for creating highly selective recognition surfaces using phage display biopanning against metal-organic nanosheets (MONs). Three MONs (ZIF-7, ZIF-7-NH<sub>2,</sub> and Hf-BTB-NH<sub>2</sub>) are added to a solution containing every possible combination of seven-residue peptides attached to bacteriophage hosts. The highest affinity peptides for each MON are isolated through successive bio-panning rounds. Comparison of the surface properties of the MONs and high-affinity peptides provide useful insights into the relative importance of electrostatic, hydrophobic, and co-ordination bonding interactions in each system, aiding the design of future MONs. Coating of the Hf-BTB-NH<sub>2</sub> MONs onto a quartz crystal microbalance (QCM) produced a five-fold higher signal for phage with the on-target peptide sequence compared to those with generic sequences. Surface plasmon resonance (SPR) studies produce a 4600-fold higher equilibrium dissociation constant (K<sub>D</sub>) for on-target sequences and are comparable to those of antibodies (K<sub>D</sub> = 4 x 10<sup>-10</sup> m). It is anticipated that insights from the biopanning approach, combined with the highly tunable nature of MONs, will lead to a new generation of highly selective recognition surfaces for use in biomedical sensors.
Authors
- Nicholas W. Turner
- Jonathan A. Foster (ORCID: https://orcid.org/0000-0002-0588-2474)
- Edwin C. Johnson (ORCID: https://orcid.org/0000-0002-0092-1008)
- Sarah S. Staniland (ORCID: https://orcid.org/0000-0001-8995-7172)
- Ram R. R. Prasad
- Steven P. Armes (ORCID: https://orcid.org/0000-0002-8289-6351)
- Mark V. Sullivan (ORCID: https://orcid.org/0000-0002-1771-8268)
- Amelia C. Wood
Institutions
- University of Sheffield (GB)
Publication Details
- Journal
- Small
- Published
- 2024-11-13
- DOI
- https://doi.org/10.1002/smll.202406339
- Citations
- 4
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.94
Funders
- Engineering and Physical Sciences Research Council