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Metrology, Sensors, and Instrumentation for Industry 4.0 and IoT

A special issue of Sensors (ISSN 1424-8220).

Deadline for manuscript submissions: 31 July 2026 | Viewed by 975

Special Issue Editor


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Guest Editor
Instrumentation, Sensors and Interfaces Group, Universitat Politècnica de Catalunya-BarcelonaTech, 08860 Castelldefels, Barcelona, Spain
Interests: research, development, and transfer of knowledge on new sensors and measurement methods; electronic interfaces for signal conditioning and processing; emphasis on sensors based on variations in electrical impedance using low-cost technologies, bioelectric and biomechanical signals; autonomous sensors; wireless sensor networks; analog signal processing; bioelectrical impedance spectroscopy and tomography; reduction of noise and instrumentation interference (electromagnetic compatibility); biomedical applications in clinical and non-clinical environments (telemedicine, eHealth) and for disabled people; sensor networks for agriculture, environment, buildings, and intelligent cities; sensors for the automotive industry; noninvasive measures in civil engineering and archaeology
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Special Issue Information

Dear Colleagues,

The 2025 IEEE International Workshop on Metrology for Industry 4.0 and IoT (http://www.metroind40iot.org/) will be held in Castelldefels, Barcelona, Spain, on 1–3 July 2025. Authors of the papers presented at the workshop related to Sensors are invited to submit extended versions of their work to this Special Issue for publication.

The workshop aims to discuss how contributions in metrology translate to the development of Industry 4.0 and IoT and subsequently new opportunities for the advancement of new measurement methods and apparatuses. We aim to provide a platform to connect people who work in the development of instrumentation and measurement methods for Industry 4.0 and IoT. Particular areas of focus include, but are not limited to, new technology for metrology-assisted production in Industry 4.0 and IoT, Industry 4.0 and IoT component measurements, sensors and associated signal conditioning for Industry 4.0 and IoT, and calibration methods for electronic tests and measurement for Industry 4.0 and IoT.

Topics:

  • industrial sensors;
  • virtual sensors and sensor interfacing;
  • IoT-enabled sensors and measurement systems;
  • measurement applications based on IoT;
  • industrial IoT, Factory of Things, and Internet of Things;
  • wireless sensor networks and IoT;
  • wearables and body sensor networks;
  • sensor systems for agriculture applications
  • energy harvesting methods for sensor systems
  • sensors data management;
  • localization technologies.

Dr. Oscar Casas
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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.

Keywords

  • industrial sensors
  • virtual sensors
  • IoT enabled sensors and measurement systems
  • wireless sensor networks
  • energy harvesting methods
  • data management

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Published Papers (1 paper)

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Research

18 pages, 7333 KB  
Article
Aerosol Jet Printed Ion-Selective Electrodes for Potassium Detection
by Giorgia Polidori, Emilio Sardini and Mauro Serpelloni
Sensors 2026, 26(10), 3053; https://doi.org/10.3390/s26103053 - 12 May 2026
Viewed by 535
Abstract
This work evaluates a potassium ion-selective electrode (K-ISE) fabricated using Aerosol Jet Printing (AJP) and compares its performance with that of a commercial K+-selective electrode (KION). Both sensors exhibit near-Nernstian behavior, with average sensitivities of 57.91 ± 5.07 mV/dec for the [...] Read more.
This work evaluates a potassium ion-selective electrode (K-ISE) fabricated using Aerosol Jet Printing (AJP) and compares its performance with that of a commercial K+-selective electrode (KION). Both sensors exhibit near-Nernstian behavior, with average sensitivities of 57.91 ± 5.07 mV/dec for the AJP device and 57.28 ± 5.07 mV/dec for the commercial electrode, confirming a near-Nernstian K+ response over the tested concentration range. Single-interferent response tests demonstrate that AJP-printed electrodes provide a more stable and less sensitive response to sodium interference (24.37 ± 1.39 mV/dec) compared to KION (33.95 ± 8.95 mV/dec), while showing comparable NH4+ response and a slightly higher response toward urea than KION. Morphological analysis (OM and SEM) reveals that AJP enables smoother, more homogeneous films and improved control over the transducer/membrane interface. Unlike previous studies, this work presents a direct experimental comparison between AJP-fabricated and commercial ISEs under controlled interference conditions relevant to agricultural and environmental matrices. Although the AJP sensors exhibited near-Nernstian behavior and fast response times, their reproducibility was lower than that of the commercial electrodes (RSD = 30.12% vs. 18.45%), indicating that further optimization of the printing and membrane deposition processes is required. Full article
(This article belongs to the Special Issue Metrology, Sensors, and Instrumentation for Industry 4.0 and IoT)
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