Abstract
Polymeric nanofiber matrices are promising structures to develop biosensing devices due to their easy and affordable large-scale fabrication and their high surface-to-volume ratio. In this work, the suitability of a polyamide 6 nanofiber matrix for the development of a label-free and real-time Fabry–Pérot cavity-based optical biosensor was studied. For such aim, in-flow biofunctionalization of nanofibers with antibodies, bound through a protein A/G layer, and specific biodetection of 10 µg/mL bovine serum albumin (BSA) were carried out. Both processes were successfully monitored via reflectivity measurements in real-time without labels and their reproducibility was demonstrated when different polymeric nanofiber matrices from the same electrospinning batch were employed as transducers. These results demonstrate not only the suitability of correctly biofunctionalized polyamide 6 nanofiber matrices to be employed for real-time and label-free specific biodetection purposes, but also the potential of electrospinning technique to create affordable and easy-to-fabricate at large scale optical transducers with a reproducible performance.
Original language | English |
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Article number | 119 |
Pages (from-to) | 1-11 |
Number of pages | 11 |
Journal | Chemosensors |
Volume | 8 |
Issue number | 4 |
DOIs | |
Publication status | Published - 26 Nov 2020 |
Keywords
- Fabry–Pérot cavity
- Label-free biosensing
- Nanofibers
- Optical biosensor
- Porous materials
Project and Funding Information
- Funding Info
- This research was supported by a co-financed action by the European Union through the operational_x000D_ program of the European Regional Development Fund (FEDER) of the Valencian Community 2014–2020,_x000D_ the Generalitat Valenciana through the PROMETEO project AVANTI/2019/123 and the grant PPC/2020/037,_x000D_ the Spanish government through the project TEC2015-63838-C3-OPTONANOSENS, Universitat Politècnica de_x000D_ València through grant PAID-01-17, and by the Basque government through the project µ4Industry, KK-2019/00101,_x000D_ from the ELKARTEK Program.