Editorial Board Members’ Collection Series: "Biosensors for chronic conditions Diagnosis and Treatment"

A special issue of Chemosensors (ISSN 2227-9040). This special issue belongs to the section "(Bio)chemical Sensing".

Deadline for manuscript submissions: closed (30 January 2024) | Viewed by 1555

Special Issue Editors


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Guest Editor
Department of Mathematics and Physics “E. De Giorgi”, University of Salento, Via Arnesano, I-73100 Lecce, Italy
Interests: proteotronics; biosensors; electronic transport in biological matter; modelling
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Guest Editor
Institute of Medical Engineering, School of Basic Medical Sciences, Xi’an Jiaotong University, Xi’an 710061, China
Interests: cell- and molecule-based biosensors; DNA biosensors; microfluidic chips; molecular diagnostics; micro/nano devices for chemical sensing; electrochemical sensors
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Chronic conditions are a major concern worldwide. The dramatic increase in chronic conditions (e.g., diabetes, cancer, cardiovascular diseases, respiratory diseases, mental illness) across the globe has demanded immediate and creative actions to provide solutions for a plethora of unmet needs. Affordable rapid biosensors could greatly reduce the global disease burden, especially in chronic disease diagnosis as well as early cancer screening.

This Special Issue will cover the recent advances in biosensors and their applications in monitoring chronic conditions in point-of-need settings. This Special Issue welcomes high-quality publications, including reviews, perspectives, communications, and research articles, related to recent advances in biosensors for the diagnosis and treatment of chronic conditions.

Prof. Dr. Eleonora Alfinito
Prof. Dr. Chunsheng Wu
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. Chemosensors 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.

Keywords

  • biosensors
  • chronic conditions diagnosis
  • chronic conditions treatment
  • biomarker detection
  • point-of-care

Published Papers (1 paper)

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Research

14 pages, 17852 KiB  
Article
An Innovative Electrochemical Immuno-Platform for Monitoring Chronic Conditions Using the Biosensing of Hyaluronic Acid in Human Plasma Samples
by Ahmad Mobed, Fereshteh Kohansal, Sanam Dolati, Mohammad Hasanzadeh and Seyed Kazem Shakouri
Chemosensors 2023, 11(7), 367; https://doi.org/10.3390/chemosensors11070367 - 29 Jun 2023
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Abstract
Hyaluronic acid (HA) is the main non-sulfated glycosaminoglycan of the extracellular matrix that is synthesized by fibroblasts and other specialized connective tissue cells. The accumulation of HA on different tissues is a characteristic of disorders that are associated with progressive tissue fibrosis. HA [...] Read more.
Hyaluronic acid (HA) is the main non-sulfated glycosaminoglycan of the extracellular matrix that is synthesized by fibroblasts and other specialized connective tissue cells. The accumulation of HA on different tissues is a characteristic of disorders that are associated with progressive tissue fibrosis. HA is also known to play a critical role in tumorigenesis and tumor metastasis. It is overproduced by many types of tumors and promotes tumor progression and multidrug resistance. There is a great necessity for the development of an easy and cost-effective detection method for the monitoring of HA for both the diagnosis and efficient treatment of related disorders. In the present study, an innovative immune device was designed for the rapid and sensitive recognition of HA in human plasma samples. For this purpose, an efficient alloy (Pt@Au) was fabricated on the surface of the gold electrode. Thus, a novel substrate was used for the preparation of an efficient transducer, which is necessary for the immobilization of biotinylated antibodies. CHA was applied for the electrochemical deposition of Pt@Au nano-alloy on Au electrodes. Additionally, the morphological study of the used nanocomposite was assessed using FESEM at a working voltage of 3 kV, and the chemical structures of the electrode were analyzed using the EDS apparatus. For the first time, a biocompatible alloy-based substrate was prepared for the study of antigen–antibody identification. The developed immunosensor has a linear response within the range of 0.156–160 ng.mL−1 with a limit of detection of 0.039 ng.mL−1 in human plasma samples. This research study offers a novel promising technique for HA analyses and is anticipated to be used in the early diagnosis of some disorders related to abnormal levels of HA in human bio-fluids. Thus, a constructed (pt@Au) nano-alloy provides a useful interface for the dense loading of AB. This excellent design loads high sensations of the biosensor for the selective detection of HA in real samples (human bio-fluids). Full article
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