Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.9
5.4
Journals
Biosensors
Special Issues
Cell-Based Biosensors for Rapid Detection and Monitoring
share announcement

Special Issue "Cell-Based Biosensors for Rapid Detection and Monitoring"

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

Deadline for manuscript submissions: 31 March 2024 | Viewed by 3310

Special Issue Editor

Dr. Georgia Moschopoulou

E-Mail Website
Guest Editor
School of Applied Biology and Biotechnology, Agricultural University of Athens, 11855 Athens, Greece
Interests: cell-based biosensors; cell and neuronal differentiation; real-time monitoring systems; high-throughput screening or diagnostics systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Cells as biorecognition elements have many advantages, such as sensitivity and rapid response to various stimuli. During the last decade, researchers have achieved progress in improving the selectivity of cells against desired target analytes as well as their integration into biosensors, which have led to their use in many applications. For this reason, cell-based biosensors represent one of the most advanced and, at the same time, challenging scientific and technological domains in analytical and diagnostic sciences. The most popular application is in toxicology research, but due to selectivity improvement, they are also used as analytical devices for specific molecules. This Biosensors Special Issue on “Cell-Based Biosensors for Rapid Detection and Monitoring” is intended to be a timely and comprehensive issue on very recent and emerging technologies in the fascinating field of cell-based biosensors for the rapid detection of molecules such as biomarkers, environmental pollutants, etc. and/or monitoring of cell physiology in response to pharmacological or environmental stimuli. Topics include but are not restricted to cell-based methodological approaches, synthetic cell manufacturing (targeted genome editing, genetic circuits, membrane engineering, etc.), integration of cell-based biosensors into platforms, and current applications and perspectives for cell-based biosensors and analytical devices for toxicology and drug research, such as lab-on-a-chip or organ-like cultures. Research papers, short communications, and reviews are all welcome.

Dr. Georgia Moschopoulou
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 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

  • analytical devices
  • bioelectric
  • cell-based biosensors
  • enviromental pollutants
  • food safety
  • impedimetric biosensors
  • medical diagnostics
  • microbial fuel cells
  • toxicology
  • synthetic cells

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

Jump to: Review

12 pages, 3133 KiB  
Communication
Capacitance Contribution of NIH/3T3 Cells Existing on and between Electrodes of an Impedance Biosensor
by
Yeeun Kim
,
Dahyun Kang
,
Seokgyu Kim
,
Eunchae Hong
and
Moongyu Jang
Biosensors 2023, 13(11), 970; https://doi.org/10.3390/bios13110970 - 06 Nov 2023
Viewed by 649
Abstract
In this study, an impedance biosensor capable of real-time monitoring of the growth and drug reactions using NIH/3T3 cells was fabricated through a semiconductor process. With the fabricated impedance biosensor, the cell growth and drug reaction states are monitored in real-time, showing the [...] Read more.
In this study, an impedance biosensor capable of real-time monitoring of the growth and drug reactions using NIH/3T3 cells was fabricated through a semiconductor process. With the fabricated impedance biosensor, the cell growth and drug reaction states are monitored in real-time, showing the validness of the developed biosensor. By using the developed impedance biosensor, we have investigated the capacitance contribution of NIH/3T3 cells existing on electrodes and between electrodes. To compare the capacitance value contributions of the cells on and between electrodes, wide- and narrow-gap electrode patterns are manufactured with 3.7 and 0.3 mm electrode gap spacings, respectively. From the detailed analysis, the capacitance contributions of NIH/3T3 cells existing on electrodes are estimated around less than 20 percent compared to the cells existing between electrodes. In other words, a minimized electrode area with maximized electrode spacing is the promising impedance biosensor design guide for accurate cell capacitance measurements. Full article
(This article belongs to the Special Issue Cell-Based Biosensors for Rapid Detection and Monitoring)
►▼ Show Figures

Figure 1

15 pages, 2973 KiB  
Article
Predictive Cell Culture Time Evolution Based on Electric Models
by
Juan Alfonso Serrano
,
Pablo Pérez
,
Paula Daza
,
Gloria Huertas
and
Alberto Yúfera
Biosensors 2023, 13(6), 668; https://doi.org/10.3390/bios13060668 - 20 Jun 2023
Viewed by 666
Abstract
Obtaining cell concentration measurements from a culture assay by using bioimpedance is a very useful method that can be used to translate impedances to cell concentration values. The purpose of this study was to find a method to obtain the cell concentration values [...] Read more.
Obtaining cell concentration measurements from a culture assay by using bioimpedance is a very useful method that can be used to translate impedances to cell concentration values. The purpose of this study was to find a method to obtain the cell concentration values of a given cell culture assay in real time by using an oscillator as the measurement circuit. From a basic cell–electrode model, enhanced models of a cell culture immersed in a saline solution (culture medium) were derived. These models were used as part of a fitting routine to estimate the cell concentration in a cell culture in real time by using the oscillation frequency and amplitude delivered by the measurement circuits proposed by previous authors. Using real experimental data (the frequency and amplitude of oscillations) that were obtained by connecting the cell culture to an oscillator as the load, the fitting routine was simulated, and real-time data of the cell concentration were obtained. These results were compared to concentration data that were obtained by using traditional optical methods for counting. In addition, the error that we obtained was divided and analyzed in two parts: the first part of the experiment (when the few cells were adapting to the culture medium) and the second part of the experiment (when the cells exponentially grew until they completely covered the well). Low error values were obtained during the growth phase of the cell culture (the relevant phase); therefore, the results obtained were considered promising and show that the fitting routine is valid and that the cell concentration can be measured in real time by using an oscillator. Full article
(This article belongs to the Special Issue Cell-Based Biosensors for Rapid Detection and Monitoring)
►▼ Show Figures

Figure 1

Review

Jump to: Research

12 pages, 663 KiB  
Review
Three-Dimensional Printing and Its Potential to Develop Sensors for Cancer with Improved Performance
by
João B. M. Rocha Neto
,
Juliana Coatrini Soares
,
Guilherme A. Longhitano
,
Andrey Coatrini-Soares
,
Hernandes F. Carvalho
,
Osvaldo N. Oliveira, Jr.
,
Marisa M. Beppu
and
Jorge V. L. da Silva
Biosensors 2022, 12(9), 685; https://doi.org/10.3390/bios12090685 - 26 Aug 2022
Cited by 5 | Viewed by 1459
Abstract
Cancer is the second leading cause of death globally and early diagnosis is the best strategy to reduce mortality risk. Biosensors to detect cancer biomarkers are based on various principles of detection, including electrochemical, optical, electrical, and mechanical measurements. Despite the advances in [...] Read more.
Cancer is the second leading cause of death globally and early diagnosis is the best strategy to reduce mortality risk. Biosensors to detect cancer biomarkers are based on various principles of detection, including electrochemical, optical, electrical, and mechanical measurements. Despite the advances in the identification of biomarkers and the conventional 2D manufacturing processes, detection methods for cancers still require improvements in terms of selectivity and sensitivity, especially for point-of-care diagnosis. Three-dimensional printing may offer the features to produce complex geometries in the design of high-precision, low-cost sensors. Three-dimensional printing, also known as additive manufacturing, allows for the production of sensitive, user-friendly, and semi-automated sensors, whose composition, geometry, and functionality can be controlled. This paper reviews the recent use of 3D printing in biosensors for cancer diagnosis, highlighting the main advantages and advances achieved with this technology. Additionally, the challenges in 3D printing technology for the mass production of high-performance biosensors for cancer diagnosis are addressed. Full article
(This article belongs to the Special Issue Cell-Based Biosensors for Rapid Detection and Monitoring)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop