Ratiometric Organic Fibers for Localized and Reversible Ion Sensing with Micrometer-Scale Spatial Resolution
Loretta L. del Mercato (1), Maria Moffa (2), Rosaria Rinaldi (2,3),, Dario Pisignano (2,3) ((1) CNR NANOTEC, (2) Istituto Nanoscienze-CNR, (3), Dipartimento di Matematica e Fisica 'E. De Giorgi'-Universit\`a del Salento)

TL;DR
This paper introduces novel hybrid organic fibers with embedded fluorescent pH sensors that enable high-resolution, reversible ion sensing in microenvironments, promising advancements in biomedical and environmental diagnostics.
Contribution
Development of nanostructured, flexible organic fibers with tunable dimensions and capsule alignment for localized, reversible ion sensing with high stability and sensitivity.
Findings
Fibers exhibit excellent stability and high sensitivity.
Reversible response of the sensors under various conditions.
Tunable fiber diameter and capsule alignment achieved.
Abstract
A fundamental issue in biomedical and environmental sciences is the development of sensitive and robust sensors able to probe the analyte of interest, under physiological and pathological conditions or in environmental samples, and with very high spatial resolution. In this work, novel hybrid organic fibers that can effectively report the analyte concentration within the local microenvironment are reported. The nanostructured and flexible wires are prepared by embedding fluorescent pH sensors based on seminaphtho-rhodafluor-1-dextran conjugate. By adjusting capsule/polymer ratio and spinning conditions, the diameter of the fibers and the alignment of the reporting capsules are both tuned. The hybrid wires display excellent stability, high sensitivity, as well as reversible response, and their operation relies on effective diffusional kinetic coupling of the sensing regions and the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
