Selected Papers from the 3rd International Electronic Conference on Biosensors (IECB 2023)

A special issue of Biosensors (ISSN 2079-6374).

Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 2675

Special Issue Editors


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Guest Editor
Department of Chemistry “Ugo Schiff”, University of Florence, Via della Lastruccia 3, 50019 Sesto Fiorentino, Italy
Interests: immobilization procedure of biomolecules; protein–DNA complexes; aptamer; enzymatic sensors; thick-film technology; nanodispensing technologies; micro-flow systems; carbon nanotubes; nanoparticles; nanocomposite polymers; molecular imprinted polymers; protein-polymer conjugates
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Special Issue Information

Dear Colleagues,

The 3rd International Electronic Conference on Biosensors (IECB 2023) will be held from 8 to 21 May 2023 (https://sciforum.net/event/IECB2023), verifying the great interest of the related community in this Conference Series. The e-conference will be hosted on sciforum.net, an online platform developed by MDPI for scholarly exchange and collaboration.

During the event, a large number of excellent contributions covering key areas of opportunity and challenge will be presented. More specifically, the following areas will be covered:

  • Artificial intelligence in biosensors;
  • Ingestible, implantable, and wearable biosensors;
  • Smartphone-based biosensors;
  • The evolution of biological recognition elements in biosensors;
  • Microfabrication and printing techniques in biosensors;
  • Nanomaterials and smart surfaces in biosensors;
  • Technological advancements in biosensor actuators.

This Special Issue welcomes selected papers from IECB 2023 that promote and advance this exciting and rapidly changing field.

Submitted contributions will be subjected to peer review and—upon acceptance—will be published with the aim of rapidly and widely disseminating research results, developments, and applications.

It should be noted that submitted manuscripts should have at least 50% additional, new, and unpublished material as compared to the paper presented at IECB 2023.

We look forward to receiving your contributions.

Prof. Dr. Giovanna Marrazza
Dr. Sara Tombelli
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. Biosensors is an international peer-reviewed open access monthly 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 2700 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.

Published Papers (1 paper)

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Research

13 pages, 1661 KiB  
Article
Portable Infrared-Based Glucometer Reinforced with Fuzzy Logic
by Hasan Mhd Nazha, Mhd Ayham Darwich, Ebrahim Ismaiel, Anas Shahen, Tamim Nasser, Maher Assaad and Daniel Juhre
Biosensors 2023, 13(11), 991; https://doi.org/10.3390/bios13110991 - 20 Nov 2023
Cited by 1 | Viewed by 1858
Abstract
Diabetes mellitus (DM) is a chronic metabolic condition characterized by high blood glucose levels owing to decreased insulin production or sensitivity. Current diagnostic approaches for gestational diabetes entail intrusive blood tests, which are painful and impractical for regular monitoring. Additionally, typical blood glucose [...] Read more.
Diabetes mellitus (DM) is a chronic metabolic condition characterized by high blood glucose levels owing to decreased insulin production or sensitivity. Current diagnostic approaches for gestational diabetes entail intrusive blood tests, which are painful and impractical for regular monitoring. Additionally, typical blood glucose monitoring systems are restricted in their measurement frequency and need finger pricks for blood samples. This research study focuses on the development of a non-invasive, real-time glucose monitoring method based on the detection of glucose in human tears and finger blood using mid-infrared (IR) spectroscopy. The proposed solution combines a fuzzy logic-based calibration mechanism with an IR sensor and Arduino controller. This calibration technique increases the accuracy of non-invasive glucose testing based on MID absorbance in fingertips and human tears. The data demonstrate that our device has high accuracy and reliability, with an error rate of less than 3%, according to the EGA. Out of 360 measurements, 97.5% fell into zone A, 2.2% into zone B, and 0.3% into zone C of the Clarke Error Grid. This suggests that our device can give clinically precise and acceptable estimates of blood glucose levels without inflicting any harm or discomfort on the user. Full article
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