Issue 5, 2015
From the journal:

Analyst

Self-cleaning properties in engineered sensors for dopamine electroanalytical detection†

Guido Soliveri,‡ab   Valentina Pifferi,‡ab   Guido Panzarasa,c   Silvia Ardizzone,ab   Giuseppe Cappelletti,ab   Daniela Meroni,ab   Katia Sparnaccic  and  Luigi Falciola*ab  

* Corresponding authors

a Dipartimento di Chimica, Università degli Studi di Milano, Via Golgi 19, 20133 Milano, Italy
E-mail: luigi.falciola@unimi.it

b Consorzio Interuniversitario Nazionale per la Scienza e Tecnologia dei Materiali (INSTM), Via Giusti 9, 50121 Firenze, Italy

c Dipartimento di Scienze e Innovazione Tecnologica, Università del Piemonte Orientale “Amedeo Avogadro”, Viale T. Michel 11, 15100 Alessandria, Italy

Abstract

Fouling and passivation are the major drawbacks for a wide applicability of electroanalytical sensors based on nanomaterials, especially in biomedical and environmental fields. The production of highly engineered devices, designed ad hoc for specific applications, is the key factor in the direction of overcoming the problem and accessing effective sensors. Here, the fine-tuning of the system, composed of a highly ordered distribution of silver nanoparticles between a bottom silica and a top titania layer, confers multifunctional properties to the device for a biomedical complex challenge: dopamine detection. The crucial importance of each component towards a robust and efficient electroanalytical system is studied. The total recovery of the electrode performance after a simple UV-A cleaning step (self-cleaning), due to the photoactive interface and the aging resistance, is deeply investigated.

Graphical abstract: Self-cleaning properties in engineered sensors for dopamine electroanalytical detection

About
Cited by
Related
Download options Please wait...

Supplementary files

Article information

DOI
https://doi.org/10.1039/C4AN02219J
Article type
Paper
Submitted
03 Dec 2014
Accepted
12 Jan 2015
First published
12 Jan 2015
This article is Open Access
Creative Commons BY-NC license

Analyst, 2015,140, 1486-1494

Author version available

Download author version (PDF)

Permissions

Request permissions

Self-cleaning properties in engineered sensors for dopamine electroanalytical detection

G. Soliveri, V. Pifferi, G. Panzarasa, S. Ardizzone, G. Cappelletti, D. Meroni, K. Sparnacci and L. Falciola, Analyst, 2015, 140, 1486 DOI: 10.1039/C4AN02219J

This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. You can use material from this article in other publications, without requesting further permission from the RSC, provided that the correct acknowledgement is given and it is not used for commercial purposes.

To request permission to reproduce material from this article in a commercial publication, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party commercial publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements