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Biosensors
Special Issues
Advanced Biosensors for Disease Screening, Monitoring, Diagnosis and Treatment
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Advanced Biosensors for Disease Screening, Monitoring, Diagnosis and Treatment

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

Deadline for manuscript submissions: 31 December 2024 | Viewed by 1973

Special Issue Editor

Prof. Dr. Ronny Priefer

E-Mail Website
Guest Editor
Massachusetts College of Pharmacy and Health Sciences, Boston, MA 02115, USA
Interests: biosensors; Alzheimer’s; diabetes; cancer; infection
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Whether it be a pacemaker or blood glucose monitor, biosensors have greatly enhanced healthcare, and continue to do so. Some patients have been able to live longer and healthier lives as a direct result of a biosensor. Besides a steady increase in developing countries, biosensors are reaching more and more individuals in developed countries due to cost, size, advancements, and accessibility. These now range from simple screening for diseases and patient monitoring to actual diagnoses and even the direct treatment of ailments. This Special Issue will showcase advances within biosensors in the overarching field of healthcare.

Prof. Dr. Ronny Priefer
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.

Published Papers (2 papers)

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Research

12 pages, 5987 KiB  
Article
Detection of In Vivo-like Cells by a Biosensor Chip Based on Metamaterials in Terahertz Regime
by Lulu Han, Yuchen Wang, Kanglong Chen, Hengyu Gao, Kexin Xia, Qinggang Ge, Jun Yang, Wei Shi and Cunjun Ruan
Biosensors 2024, 14(5), 230; https://doi.org/10.3390/bios14050230 - 6 May 2024
Viewed by 622
Abstract
Early diagnosis of diseases, especially cancer, is critical for effective treatment. The unique properties of terahertz technology have attracted attention in this field. However, current terahertz bio-detection methods face challenges due to differences between the test environment and the actual in vivo conditions. [...] Read more.
Early diagnosis of diseases, especially cancer, is critical for effective treatment. The unique properties of terahertz technology have attracted attention in this field. However, current terahertz bio-detection methods face challenges due to differences between the test environment and the actual in vivo conditions. In this study, a novel method is proposed for detecting in vivo-like cells using a biosensor chip composed of metamaterials and a cavity. The cavity has a thickness of ~50 μm. The structure can protect cells from damage and provides a liquid environment like an in vivo state. Through simulation analysis, the metamaterials sensor exhibits a theoretical sensitivity of 0.287 THz/RIU (Refractive Index Unit) with a 50 μm thick analyte. The detection method is experimentally validated using the apoptosis of glioma cells and various cell types. The biosensor investigates the apoptosis of glioma cells under the impact of temozolomide, and the trend of the results was consistent with the Cell Counting Kit-8 method. Furthermore, at a concentration of ~5200 cells/cm2, the experimental results demonstrate that the sensor can distinguish between neurons and glioma cells with a resonance frequency difference of approximately 30 GHz. This research has significant potential for detecting glioma cells and offers an alternative approach to in vivo-like cell detection. Full article
(This article belongs to the Special Issue Advanced Biosensors for Disease Screening, Monitoring, Diagnosis and Treatment)
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14 pages, 2652 KiB  
Article
An Extracellular Matrix Overlay Model for Bioluminescence Microscopy to Measure Single-Cell Heterogeneous Responses to Antiandrogens in Prostate Cancer Cells
by Audrey Champagne, Imene Chebra, Pallavi Jain, Cassandra Ringuette Goulet, Annie Lauzier, Antoine Guyon, Bertrand Neveu and Frédéric Pouliot
Biosensors 2024, 14(4), 175; https://doi.org/10.3390/bios14040175 - 5 Apr 2024
Viewed by 1063
Abstract
Prostate cancer (PCa) displays diverse intra-tumoral traits, impacting its progression and treatment outcomes. This study aimed to refine PCa cell culture conditions for dynamic monitoring of androgen receptor (AR) activity at the single-cell level. We introduced an extracellular matrix-Matrigel (ECM-M) culture model, enhancing [...] Read more.
Prostate cancer (PCa) displays diverse intra-tumoral traits, impacting its progression and treatment outcomes. This study aimed to refine PCa cell culture conditions for dynamic monitoring of androgen receptor (AR) activity at the single-cell level. We introduced an extracellular matrix-Matrigel (ECM-M) culture model, enhancing cellular tracking during bioluminescence single-cell imaging while improving cell viability. ECM-M notably tripled the traceability of poorly adherent PCa cells, facilitating robust single-cell tracking, without impeding substrate permeability or AR response. This model effectively monitored AR modulation by antiandrogens across various PCa cell lines. Single-cell imaging unveiled heterogeneous antiandrogen responses within populations, correlating non-responsive cell proportions with drug IC50 values. Integrating ECM-M culture with the PSEBC-TSTA biosensor enabled precise characterization of ARi responsiveness within diverse cell populations. Our ECM-M model stands as a promising tool to assess heterogeneous single-cell treatment responses in cancer, offering insights to link drug responses to intracellular signaling dynamics. This approach enhances our comprehension of the nuanced and dynamic nature of PCa treatment responses. Full article
(This article belongs to the Special Issue Advanced Biosensors for Disease Screening, Monitoring, Diagnosis and Treatment)
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