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Biosensors for Point-of-Care Diagnostics

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

Deadline for manuscript submissions: 20 November 2024 | Viewed by 983

Special Issue Editors


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Guest Editor
State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science and Institute of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
Interests: preparation of two-dimensional materials; field effect transistor; photodetector; chemical biosensors

E-Mail Website
Guest Editor
State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science and Institute of Molecular Materials and Devices, Fudan University, Shanghai 200433, China
Interests: field effect transistor; biosensor interface design; DNA nanostructures; disease detection

Special Issue Information

Dear Colleagues,

A biosensor is a device that uses specific biological recognition probes to selectively capture target molecules or pathogens, and measures the signal change during the binding or reacting process to realize detection (such as electrical signals, optical signals, acoustic signals, magnetic signals, etc.). Biosensors are widely used in medical diagnosis, environmental monitoring, food safety and other fields. Especially in point-of-care diagnostics, biosensors can provide fast, convenient, low-cost, highly sensitive and highly specific detection assays, which are important for the timely detection and treatment of various diseases, such as infectious diseases, cancers and cardiovascular diseases. Therefore, developing and optimizing point-of-care biosensors is a very promising and challenging research direction.

This Special Issue aims to showcase the latest research progress and innovations in this field, mainly in the following areas:

  • How biosensors bring new opportunities and capabilities to point-of-care diagnostics;
  • How biosensors can realize the simultaneous detection of multiple biomolecules or pathogens to achieve multiple diagnostics and high-throughput screening;
  • How to combine biosensors with smartphones, cloud computing, artificial intelligence and other technologies to improve the efficiency and accuracy of data processing, analysis and sharing, and provide new tools for point-of-care diagnosis and precision medicine.

In this Special Issue, we welcome original research papers, short communications, and review papers on advances in biosensors for point-of-care molecular detection and disease diagnosis.

Prof. Dr. Dacheng Wei
Dr. Derong Kong
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.

Keywords

  • point-of-care diagnostics
  • biosensors
  • molecular diagnostics
  • disease detection
  • healthcare
  • biomarkers
  • infectious disease testing

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Published Papers (1 paper)

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Review

32 pages, 8768 KiB  
Review
Sensing with Molecularly Imprinted Membranes on Two-Dimensional Solid-Supported Substrates
by Lishuang Wang, Nan Li, Xiaoyan Zhang, Ivan Bobrinetskiy, Ivana Gadjanski and Wangyang Fu
Sensors 2024, 24(16), 5119; https://doi.org/10.3390/s24165119 - 7 Aug 2024
Viewed by 659
Abstract
Molecularly imprinted membranes (MIMs) have been a focal research interest since 1990, representing a breakthrough in the integration of target molecules into membrane structures for cutting-edge sensing applications. This paper traces the developmental history of MIMs, elucidating the diverse methodologies employed in their [...] Read more.
Molecularly imprinted membranes (MIMs) have been a focal research interest since 1990, representing a breakthrough in the integration of target molecules into membrane structures for cutting-edge sensing applications. This paper traces the developmental history of MIMs, elucidating the diverse methodologies employed in their preparation and characterization on two-dimensional solid-supported substrates. We then explore the principles and diverse applications of MIMs, particularly in the context of emerging technologies encompassing electrochemistry, surface-enhanced Raman scattering (SERS), surface plasmon resonance (SPR), and the quartz crystal microbalance (QCM). Furthermore, we shed light on the unique features of ion-sensitive field-effect transistor (ISFET) biosensors that rely on MIMs, with the notable advancements and challenges of point-of-care biochemical sensors highlighted. By providing a comprehensive overview of the latest innovations and future trajectories, this paper aims to inspire further exploration and progress in the field of MIM-driven sensing technologies. Full article
(This article belongs to the Special Issue Biosensors for Point-of-Care Diagnostics)
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