Biosensing Applications for Cell Monitoring

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Biosensors and Healthcare".

Deadline for manuscript submissions: 31 October 2025 | Viewed by 3695

Special Issue Editor


E-Mail Website
Guest Editor
Department of Environmental Health Science, Konkuk University, Seoul 05029, Republic of Korea
Interests: bioreporter; biosensor; chemistry; pleckstrin homology domain; arsenic

Special Issue Information

Dear Colleague,

Biosensing technology has matured enormously owing to its simplicity and speed compared to traditional sensing methods. Diverse biosensors have been developed from various research fields based on the use of biochemical, nano- and electrochemical technology to monitor targets. When biosensors were first developed, they were used to focus on environmental toxicants and harmful materials. Due to the advantageous aspects of biosensing, the targets of biosensing have been enlarged to include chemicals, toxins, metabolites and cells. In particular, cell monitoring has been highlighted in various clinical fields for the rapid and early detection of abnormal cells and pathogens. In this Special Issue, we aim to explore the recent techniques, methodologies and applications of biosensing techniques for cell monitoring, as well as its prospective uses going forward.

We welcome authors to submit papers to this Special Issue, entitled “Biosensing Applications for Cell Monitoring.” To be considered for inclusion, articles should help to advance the field of cell monitoring based on biosensing technologies.

Dr. Youngdae Yoon
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 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 2200 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
  • cell monitoring
  • point-of-care
  • pathogen
  • biosensing devices
  • rapid detection
  • diagnosis

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 policies can be found here.

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

17 pages, 5301 KiB  
Article
Combined Dielectric-Optical Characterization of Single Cells Using Dielectrophoresis-Imaging Flow Cytometry
by Behnam Arzhang, Justyna Lee, Emerich Kovacs, Michael Butler, Elham Salimi, Douglas J. Thomson and Greg E. Bridges
Biosensors 2024, 14(12), 577; https://doi.org/10.3390/bios14120577 - 27 Nov 2024
Cited by 1 | Viewed by 1437
Abstract
In this paper, we present a microfluidic flow cytometer for simultaneous imaging and dielectric characterization of individual biological cells within a flow. Utilizing a combination of dielectrophoresis (DEP) and high-speed imaging, this system offers a dual-modality approach to analyze both cell morphology and [...] Read more.
In this paper, we present a microfluidic flow cytometer for simultaneous imaging and dielectric characterization of individual biological cells within a flow. Utilizing a combination of dielectrophoresis (DEP) and high-speed imaging, this system offers a dual-modality approach to analyze both cell morphology and dielectric properties, enhancing the ability to analyze, characterize, and discriminate cells in a heterogeneous population. A high-speed camera is used to capture images of and track multiple cells in real-time as they flow through a microfluidic channel. A wide channel is used, enabling analysis of many cells in parallel. A coplanar electrode array perpendicular to cell flow is incorporated at the bottom of the channel to perform dielectrophoresis-based dielectric characterization. A frequency-dependent voltage applied to the array produces a non-uniform electric field, translating cells to higher or lower velocity depending on their dielectric polarizability. In this paper, we demonstrate how cell size, obtained by optical imaging, and DEP response, obtained by particle tracking, can be used to discriminate viable and non-viable Chinese hamster ovary cells in a heterogeneous cell culture. Multiphysics electrostatic-fluid dynamics simulation is used to develop a relationship between cell incoming velocity, differential velocity, size, and the cell’s polarizability, which can subsequently be used to evaluate its physiological state. Measurement of a mixture of polystyrene microspheres is used to evaluate the accuracy of the cytometer. Full article
(This article belongs to the Special Issue Biosensing Applications for Cell Monitoring)
Show Figures

Figure 1

18 pages, 7913 KiB  
Article
Utilizing a Disposable Sensor with Polyaniline-Doped Multi-Walled Carbon Nanotubes to Enable Dopamine Detection in Ex Vivo Mouse Brain Tissue Homogenates
by Thenmozhi Rajarathinam, Sivaguru Jayaraman, Jaeheon Seol, Jaewon Lee and Seung-Cheol Chang
Biosensors 2024, 14(6), 262; https://doi.org/10.3390/bios14060262 - 21 May 2024
Cited by 2 | Viewed by 1729
Abstract
Disposable sensors are inexpensive, user-friendly sensing tools designed for rapid single-point measurements of a target. Disposable sensors have become more and more essential as diagnostic tools due to the growing demand for quick, easy-to-access, and reliable information related to the target. Dopamine (DA), [...] Read more.
Disposable sensors are inexpensive, user-friendly sensing tools designed for rapid single-point measurements of a target. Disposable sensors have become more and more essential as diagnostic tools due to the growing demand for quick, easy-to-access, and reliable information related to the target. Dopamine (DA), a prevalent catecholamine neurotransmitter in the human brain, is associated with central nervous system activities and directly promotes neuronal communication. For the sensitive and selective estimation of DA, an enzyme-free amperometric sensor based on polyaniline-doped multi-walled carbon nanotubes (PANI-MWCNTs) drop-coated disposable screen-printed carbon electrodes (SPCEs) was fabricated. This PANI-MWCNTs-2/SPCE sensor boasts exceptional accuracy and sensitivity when working directly with ex vivo mouse brain homogenates. The sensor exhibited a detection limit of 0.05 μM (S/N = 3), and a wide linear range from 1.0 to 200 μM. The sensor’s high selectivity to DA amidst other endogenous interferents was recognized. Since the constructed sensor is enzyme-free yet biocompatible, it exhibited high stability in DA detection using ex vivo mouse brain homogenates extracted from both Parkinson’s disease and control mice models. This research thus presents new insights into understanding DA release dynamics at the tissue level in both of these models. Full article
(This article belongs to the Special Issue Biosensing Applications for Cell Monitoring)
Show Figures

Figure 1

Back to TopTop