Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12666/427
Title: Label-free optical biosensing using low-cost electrospun polymeric nanofibers
Authors: Martínez Pérez, P.
Ponce Alcántara, S.
Murillo, Nieves
Pérez Márquez, A.
Maudes, J.
Peraile, I.
González López, L.
Gil García, M.
Lorenzo Lozano, P.
García Rupérez, J.
Keywords: Electrospinning;Nanofibers;Polycaprolactone;Optical biosensors
Issue Date: Dec-2020
Publisher: MDPI Ag
DOI: 10.3390/chemosensors8040119
Published version: https://www.mdpi.com/2227-9040/8/4/119
Citation: Chemosensors, 8 (4): pp. 1-11 (2020).
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.
URI: http://hdl.handle.net/20.500.12666/427
ISSN: 2227-9040
Appears in Collections:(Terrestre) Artículos

Files in This Item:
File Description SizeFormat 
chemosensors-08-00119.pdf2,81 MBAdobe PDFThumbnail
View/Open


This item is licensed under a Creative Commons License Creative Commons