Molecularly Imprinted Polymer Sensor Empowered by Bound States in the Continuum for Selective Trace‐Detection of TGF‐beta
The integration of advanced materials and photonic nanostructures can lead to enhanced biodetection capabilities, crucial in clinical scenarios and point-of-care diagnostics, where simplified strategies are essential. Herein, a molecularly imprinted polymer (MIP) photonic nanostructure is demonstrated, which selectively binding to transforming growth factor-beta (TGF-β), in which the sensing transduction is enhanced by bound states in the continuum (BICs). The MIP operating as a synthetic antibody matrix and coupled with BIC resonance, enhances the optical response to TGF-β at imprinted sites, leading to an augmented detection capability, thoroughly evaluated through spectral shift and optical lever analogue readout. The validation underscores the MIP-BIC sensor capability to detect TGF-β in spiked saliva, achieving a limit of detection of 10 fM and a resolution of 0.5 pM at physiological concentrations, with a precision of two orders of magnitude above discrimination threshold in patients. The MIP tailored selectivity is highlighted by an imprinting factor of 52, showcasing the sensor resistance to interference from other analytes. The MIP-BIC sensor architecture streamlines the detection process eliminating the need for complex sandwich immunoassays and demonstrates the potential for high-precision quantification. This positions the system as a robust tool for biomarker detection, especially in real-world diagnostic scenarios.
Authors
- Bruno Miranda
- Antonio Turco (ORCID: https://orcid.org/0000-0002-7344-0563)
- Vittorino Lanzio (ORCID: https://orcid.org/0000-0003-1957-7670)
- Giuseppe Gigli (ORCID: https://orcid.org/0000-0002-2583-5747)
- Silvia Romano (ORCID: https://orcid.org/0000-0002-8432-7611)
- Giulia Siciliano (ORCID: https://orcid.org/0009-0003-9815-5624)
- Vito Mocella (ORCID: https://orcid.org/0000-0001-8793-0486)
- Adam Schwartzberg (ORCID: https://orcid.org/0000-0001-6335-0719)
- Gianluigi Zito (ORCID: https://orcid.org/0000-0003-2376-0080)
- Elisabetta Primiceri (ORCID: https://orcid.org/0000-0002-4196-3538)
- Ivo Rendina (ORCID: https://orcid.org/0000-0002-3861-373X)
- Aida Seifalinezhad
Institutions
- Lawrence Berkeley National Laboratory (US)
- Parthenope University of Naples (IT)
- Istituto di Nanotecnologia (IT)
- National Research Council (IT)
Publication Details
- Journal
- Advanced Science
- Published
- 2024-09-05
- DOI
- https://doi.org/10.1002/advs.202401843
- Citations
- 15
- Primary Topic
- Salivary Gland Tumors Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 8.59
Funders
- U.S. Department of Energy
- European Commission
- Ministero dell’Istruzione, dell’Università e della Ricerca
- Office of Science
- Basic Energy Sciences
- Lawrence Berkeley National Laboratory