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Thin Film Biosensing

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".

Deadline for manuscript submissions: closed (15 September 2019) | Viewed by 6421

Special Issue Editors


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Guest Editor
Dipartimento di Chimica Industriale ‘Toso Montanari’, Università di Bologna, Viale Risorgimento 4, 40136 Bologna, Italy
Interests: material chemistry; electrochemistry; organic electrochemical transistors; electrochemical sensors; conducting polymers; electrocatalysis
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E-Mail Website
Guest Editor
Department of Industrial Chemistry "Toso Montanari", University of Bologna, Viale Risorgimento 4, 40136 Bologna, Italy
Interests: materials chemistry; analytical chemistry; electrochemistry; organic transistors; nanostructured materials; electrochemical sensors
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In healthcare industry, biosensors are becoming efficient tools that are able to improve the everyday life of patients thanks to point-of-care monitoring. Other fields of application involve food safety and security, agriculture, and envorimental monitoring.  The biosensor market is estimeted at $13 bilion annual turnover, but glucose bisosensors represent the 85% of the sale volume. For these reasons, new research efforts should be devoted to extending the applications of these devices to the realible detection of other compounds. The most common biosensors exploit a biological element entrapped in a thin film as a trasduction element.

The aim of this issue is to provide an overview of the use of thin films as active materials to develop biosensors. Different kind of materials can be considered both organic and inorganic, and biosensors with different transduction modes are taken into account, ranging from optical to electrochemical transduction. Work addressing all aspects of thin films for bisoensing applications will be considered, including but not limited to new synthetic protocols, new materials development, and the development of techniques to characterize thin films.

Prof. Erika Scavetta
Dr. Isacco Gualandi
Guest Editors

Manuscript Submission Information

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Keywords

  • thin film 
  • electrochemical sensors 
  • optical sensors
  • immunosensors
  • field effect transistors 
  • organic electrochemical transistors 
  • lab-on-a-chip
  • surface plasmon resonance
  • thin films characterization

Published Papers (2 papers)

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Research

8 pages, 1602 KiB  
Article
Labyrinth Metasurface for Biosensing Applications: Numerical Study on the New Paradigm of Metageometries
by Irati Jáuregui-López, Pablo Rodríguez-Ulibarri, Sergei A. Kuznetsov, Carlos Quemada and Miguel Beruete
Sensors 2019, 19(20), 4396; https://doi.org/10.3390/s19204396 - 11 Oct 2019
Cited by 14 | Viewed by 2827
Abstract
The use of metasurfaces operating in the terahertz regime as biosensor devices has attracted increased interest in recent years due to their enhanced sensitivity and more accurate detection capability. Typical designs are based on the replica of relatively simple unit cells, usually called [...] Read more.
The use of metasurfaces operating in the terahertz regime as biosensor devices has attracted increased interest in recent years due to their enhanced sensitivity and more accurate detection capability. Typical designs are based on the replica of relatively simple unit cells, usually called metaatoms. In a previous paper, we proposed a new paradigm for ultrasensitive thin-film sensors based on complex unit cells, called generically metageometries or labyrinth metasurfaces. Here, we extend this concept towards biosensing, evaluating the performance of the labyrinth as a fungi detector. The sensing capabilities are numerically evaluated and a comparison with previous works in this field is performed, showing that metageometries improve the performance compared to metaatoms both in sensitivity and figure of merit, by a factor of more than four. In particular, we find that it is able to detect five fungi elements scattered on the unit cell, equivalent to a concentration of only 0.004/µm2. Full article
(This article belongs to the Special Issue Thin Film Biosensing)
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15 pages, 5517 KiB  
Article
Affinity of Electrochemically Deposited Sol–Gel Silica Films towards Catecholamine Neurotransmitters
by María Porcel-Valenzuela, Francisco Huerta, Emilia Morallón and Francisco Montilla
Sensors 2019, 19(4), 868; https://doi.org/10.3390/s19040868 - 19 Feb 2019
Cited by 5 | Viewed by 2951
Abstract
Dopamine, norepinephrine, and epinephrine neurotransmitters can be detected by electrochemical oxidation in conventional electrodes. However, their similar chemical structure and electrochemical behavior makes a difficult selective analysis. In the present work, glassy carbon electrodes have been modified with silica layers, which were prepared [...] Read more.
Dopamine, norepinephrine, and epinephrine neurotransmitters can be detected by electrochemical oxidation in conventional electrodes. However, their similar chemical structure and electrochemical behavior makes a difficult selective analysis. In the present work, glassy carbon electrodes have been modified with silica layers, which were prepared by electroassisted deposition of sol–gel precursors. These layers were morphologically and compositionally characterized using different techniques, such as field emission scanning electron microscopy (FESEM), TEM, FTIR, or thermogravimetric analysis–mass spectrometry (TG-MS). The affinity of silica for neurotransmitters was evaluated, exclusively, by means of electrochemical methods. It was demonstrated that silica adsorbs dopamine, norepinephrine, and epinephrine, showing different interaction with silica pores. The adsorption process is dominated by a hydrogen bond between silanol groups located at the silica surface and the amine groups of neurotransmitters. Because of the different interaction with neurotransmitters, electrodes modified with silica films could be used in electrochemical sensors for the selective detection of such molecules. Full article
(This article belongs to the Special Issue Thin Film Biosensing)
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