Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
7.3
3.4
Journals
Sensors
Special Issues
State-of-the-Art Sensors Technology in Italy 2019-2020
sensors-logo
Submit to Sensors Review for Sensors Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

State-of-the-Art Sensors Technology in Italy 2019-2020

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

Deadline for manuscript submissions: closed (30 June 2020) | Viewed by 9299

Special Issue Editors

Dr. Beniamino Gioli

E-Mail Website
Guest Editor
Institute of Bioeconomy, National Research Council, 50145 Firenze, Italy
Interests: eddy covariance; micrometeorology; precision agriculture; aircraft remote sensing; hyperspectral remote sensing; biogeochemical cycles
Dr. Veronica Sberveglieri

E-Mail Website
Guest Editor
1. National Research Council, Institute of Bioscience and Bioresources (CNR-IBBR), Via J.F. Kennedy, 17/i, 42124 Reggio Emilia, Italy
2. Nano Sensor Systems, NASYS Spin-Off University of Brescia, 25125 Brescia, Italy
Interests: study of the volatiloma; in the agro-food sector; set-up of new nanomaterials acting as a substrate for gas sensors (MOX); study of new biosensors based on biological substrates; gas chromatography with mass spectrometry (GC-MS) for the study of the complexity of the volatiloma; integrated IoT data-base from farm to fork to support traceability and quality in the food chain
Special Issues, Collections and Topics in MDPI journals
Dr. Nicola Coppedè

E-Mail Website
Guest Editor
Institute of Materials for Electronics and Magnetism (IMEM), Italian National Research Council (CNR), Parco Area delle Scienze 37/A, 43100 Parma, Italy
Interests: biosensors; organic electrochemical transistor; gas sensors; precision agriculture; wearable sensors; health and wellness; sensor in industrial material; pressure sensor

Special Issue Information

Dear Colleagues,

This Special Issue aims to provide an up-to-date and comprehensive view on the state-of-the-art of sensor science and technology in Italy.

The covered topics will span sensing devices and principles (e.g chemical, physical, biological, and optical sensors), sensor technologies (including miniaturization and nano materials), and sensor networks (including communication electronics, energy optimization, network design and data management).

The goal is to report novel, highly-functional sensors both as stand alone technologies and within a rapidly changing framework, where the massive dissemination of miniaturized low cost sensors opens new Internet of Things solutions and strong integration with disciplines such as robotics, artificial intelligence and big data analytics.

Individual topics of interest include, but are not limited to:

  • Biological sensors
  • Electrochemical sensors
  • Precision agriculture
  • Environmental and atmospheric monitoring
  • Food quality sensors
  • Fiber optic based sensors
  • Nano materials sensing
  • Gas sensors
  • Optical sensing
  • Remote sensing
  • Robotics
  • Distributed sensor systems
  • Network performance optimization
  • Sensor arrays, smart and interconnected sensors
  • Artificial intelligence for multiple sensor management
  • Wearable sensor systems

Dr. Beniamino Gioli
Dr. Veronica Sberveglieri
Dr. Nicola Coppedè
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

Jump to: Review

13 pages, 2455 KiB  
Article
Long-Term Performance Assessment of Low-Cost Atmospheric Sensors in the Arctic Environment
by Federico Carotenuto, Lorenzo Brilli, Beniamino Gioli, Giovanni Gualtieri, Carolina Vagnoli, Mauro Mazzola, Angelo Pietro Viola, Vito Vitale, Mirko Severi, Rita Traversi and Alessandro Zaldei
Sensors 2020, 20(7), 1919; https://doi.org/10.3390/s20071919 - 30 Mar 2020
Cited by 18 | Viewed by 4473
Abstract
The Arctic is an important natural laboratory that is extremely sensitive to climatic changes and its monitoring is, therefore, of great importance. Due to the environmental extremes it is often hard to deploy sensors and observations are limited to a few sparse observation [...] Read more.
The Arctic is an important natural laboratory that is extremely sensitive to climatic changes and its monitoring is, therefore, of great importance. Due to the environmental extremes it is often hard to deploy sensors and observations are limited to a few sparse observation points limiting the spatial and temporal coverage of the Arctic measurement. Given these constraints the possibility of deploying a rugged network of low-cost sensors remains an interesting and convenient option. The present work validates for the first time a low-cost sensor array (AIRQino) for monitoring basic meteorological parameters and atmospheric composition in the Arctic (air temperature, relative humidity, particulate matter, and CO2). AIRQino was deployed for one year in the Svalbard archipelago and its outputs compared with reference sensors. Results show good agreement with the reference meteorological parameters (air temperature (T) and relative humidity (RH)) with correlation coefficients above 0.8 and small absolute errors (≈1 °C for temperature and ≈6% for RH). Particulate matter (PM) low-cost sensors show a good linearity (r2 ≈ 0.8) and small absolute errors for both PM2.5 and PM10 (≈1 µg m−3 for PM2.5 and ≈3 µg m−3 for PM10), while overall accuracy is impacted both by the unknown composition of the local aerosol, and by high humidity conditions likely generating hygroscopic effects. CO2 exhibits a satisfying agreement with r2 around 0.70 and an absolute error of ≈23 mg m−3. Overall these results, coupled with an excellent data coverage and scarce need of maintenance make the AIRQino or similar devices integrations an interesting tool for future extended sensor networks also in the Arctic environment. Full article
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Italy 2019-2020)
►▼ Show Figures

Figure 1

Review

Jump to: Research

23 pages, 5388 KiB  
Review
Chemical Gas Sensors Studied at SENSOR Lab, Brescia (Italy): From Conventional to Energy-Efficient and Biocompatible Composite Structures
by Vardan Galstyan, Navpreet Kaur, Dario Zappa, Estefanía Núñez-Carmona, Veronica Sberveglieri and Elisabetta Comini
Sensors 2020, 20(3), 579; https://doi.org/10.3390/s20030579 - 21 Jan 2020
Cited by 10 | Viewed by 3968
Abstract
In this paper, we present the investigations on metal oxide-based gas sensors considering the works performed at SENSOR lab, University of Brescia (Italy). We reported the developments in synthesis techniques for the preparation of doped and functionalized low-dimensional metal oxide materials. Furthermore, we [...] Read more.
In this paper, we present the investigations on metal oxide-based gas sensors considering the works performed at SENSOR lab, University of Brescia (Italy). We reported the developments in synthesis techniques for the preparation of doped and functionalized low-dimensional metal oxide materials. Furthermore, we discussed our achievements in the fabrication of heterostructures with unique functional features. In particular, we focused on the strategies to improve the sensing performance of metal oxides at relatively low operating temperatures. We presented our studies on surface photoactivation of sensing structures considering the application of biocompatible materials in the architecture of the functional devices as well. Full article
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Italy 2019-2020)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop