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Biosensors
Special Issues
Biosensors Aiming for Practical Uses
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Biosensors Aiming for Practical Uses

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

Deadline for manuscript submissions: closed (24 April 2024) | Viewed by 13415

Special Issue Editors

Dr. Fang Zhang

E-Mail Website
Guest Editor
College of Biological Science and Engineering, Fuzhou University, Fuzhou, China
Interests: nanomaterial functionalization; biosensor design; aptamer; thermostatic amplification technology
Dr. Yibo Liu

E-Mail Website
Guest Editor
Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, ON, Canada
Interests: DNA sensors; aptamer; DNAzyme
Dr. Rui Wang

E-Mail Website
Guest Editor
Human Phenome Insitute, Fudan University, Shanghai 200437, China
Interests: molecular diagnostics
Special Issues, Collections and Topics in MDPI journals
Dr. Liu Wang

E-Mail Website
Guest Editor
Zhejiang Academy of Agricultural Sciences, Hangzhou, China
Interests: functional nucleic acids; novel nanomaterials; agricultural products

Special Issue Information

Dear Colleagues,

Biosensors is an interdisciplinary area involoving the exploitation of biological materials and designs in novel diagnostic techniques and devices, including nucleic acid detection, molecular diagnostics, nanotechnology, microfluidics and portable platforms. Much progress has been made in the area of biosenors with the prosperity and development of nucleic acid nanotechnology and molecular biology. New sensors have been applied in various areas, including but not limited to disease diagnosis, agriculture, food safety and environmental monitoring. However, various conceptual technologies have been proposed, but few of them focus on solving the practical problems arising between research developments and commercial products.

This aim of this Special Issue is to collect articles regarding not only novel technologies, but also practical problem solving, such as improving the robustness of the new sensors, reducing the fabrication costs, considering sample matrix interference, solving the scalability problems, etc. Articles discussing the validation performance of methods in practical application scenarios are also welcomed. 

Dr. Fang Zhang
Dr. Yibo Liu
Dr. Rui Wang
Dr. Liu Wang
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. 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

  • DNA sensors
  • nanotechnology
  • molecular diagnosis
  • food-safety detection
  • cancer screening
  • nucleic acid detection

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (4 papers)

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Research

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14 pages, 2258 KiB  
Article
Customizable Nichrome Wire Heaters for Molecular Diagnostic Applications
by Juhee Lim, Won Han, Le Tran Huy Thang, Yong Wook Lee and Joong Ho Shin
Biosensors 2024, 14(3), 152; https://doi.org/10.3390/bios14030152 - 20 Mar 2024
Cited by 2 | Viewed by 2464
Abstract
Accurate sample heating is vital for nucleic acid extraction and amplification, requiring a sophisticated thermal cycling process in nucleic acid detection. Traditional molecular detection systems with heating capability are bulky, expensive, and primarily designed for lab settings. Consequently, their use is limited where [...] Read more.
Accurate sample heating is vital for nucleic acid extraction and amplification, requiring a sophisticated thermal cycling process in nucleic acid detection. Traditional molecular detection systems with heating capability are bulky, expensive, and primarily designed for lab settings. Consequently, their use is limited where lab systems are unavailable. This study introduces a technique for performing the heating process required in molecular diagnostics applicable for point-of-care testing (POCT), by presenting a method for crafting customized heaters using freely patterned nichrome (NiCr) wire. This technique, fabricating heaters by arranging protrusions on a carbon black-polydimethylsiloxane (PDMS) cast and patterning NiCr wire, utilizes cost-effective materials and is not constrained by shape, thereby enabling customized fabrication in both two-dimensional (2D) and three-dimensional (3D). To illustrate its versatility and practicality, a 2D heater with three temperature zones was developed for a portable device capable of automatic thermocycling for polymerase chain reaction (PCR) to detect Escherichia coli (E. coli) O157:H7 pathogen DNA. Furthermore, the detection of the same pathogen was demonstrated using a customized 3D heater surrounding a microtube for loop-mediated isothermal amplification (LAMP). Successful DNA amplification using the proposed heater suggests that the heating technique introduced in this study can be effectively applied to POCT. Full article
(This article belongs to the Special Issue Biosensors Aiming for Practical Uses)
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18 pages, 2256 KiB  
Article
Real-Time Classification of Anxiety in Virtual Reality Therapy Using Biosensors and a Convolutional Neural Network
by Deniz Mevlevioğlu, Sabin Tabirca and David Murphy
Biosensors 2024, 14(3), 131; https://doi.org/10.3390/bios14030131 - 3 Mar 2024
Cited by 1 | Viewed by 3120
Abstract
Virtual Reality Exposure Therapy is a method of cognitive behavioural therapy that aids in the treatment of anxiety disorders by making therapy practical and cost-efficient. It also allows for the seamless tailoring of the therapy by using objective, continuous feedback. This feedback can [...] Read more.
Virtual Reality Exposure Therapy is a method of cognitive behavioural therapy that aids in the treatment of anxiety disorders by making therapy practical and cost-efficient. It also allows for the seamless tailoring of the therapy by using objective, continuous feedback. This feedback can be obtained using biosensors to collect physiological information such as heart rate, electrodermal activity and frontal brain activity. As part of developing our objective feedback framework, we developed a Virtual Reality adaptation of the well-established emotional Stroop Colour–Word Task. We used this adaptation to differentiate three distinct levels of anxiety: no anxiety, mild anxiety and severe anxiety. We tested our environment on twenty-nine participants between the ages of eighteen and sixty-five. After analysing and validating this environment, we used it to create a dataset for further machine-learning classification of the assigned anxiety levels. To apply this information in real-time, all of our information was processed within Virtual Reality. Our Convolutional Neural Network was able to differentiate the anxiety levels with a 75% accuracy using leave-one-out cross-validation. This shows that our system can accurately differentiate between different anxiety levels. Full article
(This article belongs to the Special Issue Biosensors Aiming for Practical Uses)
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Review

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17 pages, 5985 KiB  
Review
Non-Invasive Biosensing for Healthcare Using Artificial Intelligence: A Semi-Systematic Review
by Tanvir Islam and Peter Washington
Biosensors 2024, 14(4), 183; https://doi.org/10.3390/bios14040183 - 9 Apr 2024
Cited by 6 | Viewed by 3892
Abstract
The rapid development of biosensing technologies together with the advent of deep learning has marked an era in healthcare and biomedical research where widespread devices like smartphones, smartwatches, and health-specific technologies have the potential to facilitate remote and accessible diagnosis, monitoring, and adaptive [...] Read more.
The rapid development of biosensing technologies together with the advent of deep learning has marked an era in healthcare and biomedical research where widespread devices like smartphones, smartwatches, and health-specific technologies have the potential to facilitate remote and accessible diagnosis, monitoring, and adaptive therapy in a naturalistic environment. This systematic review focuses on the impact of combining multiple biosensing techniques with deep learning algorithms and the application of these models to healthcare. We explore the key areas that researchers and engineers must consider when developing a deep learning model for biosensing: the data modality, the model architecture, and the real-world use case for the model. We also discuss key ongoing challenges and potential future directions for research in this field. We aim to provide useful insights for researchers who seek to use intelligent biosensing to advance precision healthcare. Full article
(This article belongs to the Special Issue Biosensors Aiming for Practical Uses)
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20 pages, 3988 KiB  
Review
Miniaturized Biosensors Based on Lanthanide-Doped Upconversion Polymeric Nanofibers
by Neha Dubey and Sudeshna Chandra
Biosensors 2024, 14(3), 116; https://doi.org/10.3390/bios14030116 - 21 Feb 2024
Cited by 3 | Viewed by 2112
Abstract
Electrospun nanofibers possess a large surface area and a three-dimensional porous network that makes them a perfect material for embedding functional nanoparticles for diverse applications. Herein, we report the trends in embedding upconversion nanoparticles (UCNPs) in polymeric nanofibers for making an advanced miniaturized [...] Read more.
Electrospun nanofibers possess a large surface area and a three-dimensional porous network that makes them a perfect material for embedding functional nanoparticles for diverse applications. Herein, we report the trends in embedding upconversion nanoparticles (UCNPs) in polymeric nanofibers for making an advanced miniaturized (bio)analytical device. UCNPs have the benefits of several optical properties, like near-infrared excitation, anti-Stokes emission over a wide range from UV to NIR, narrow emission bands, an extended lifespan, and photostability. The luminescence of UCNPs can be regulated using different lanthanide elements and can be used for sensing and tracking physical processes in biological systems. We foresee that a UCNP-based nanofiber sensing platform will open opportunities in developing cost-effective, miniaturized, portable and user-friendly point-of-care sensing device for monitoring (bio)analytical processes. Major challenges in developing microfluidic (bio)analytical systems based on UCNPs@nanofibers have been reviewed and presented. Full article
(This article belongs to the Special Issue Biosensors Aiming for Practical Uses)
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