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Biosensors
Special Issues
Bio-Chips and Biosensors
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Bio-Chips and Biosensors

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

Deadline for manuscript submissions: closed (20 July 2021) | Viewed by 6724

Special Issue Editors

Dr. Rituraj Singh

E-Mail Website
Guest Editor
Mojo Vision Inc., Saratoga, CA 95070, USA; University of Texas at Austin, Austin, TX 78712, USA
Interests: biosensors; image sensors; DNA biochips; fluorescence sensors; electrochemical sensors; analog and mixed-signal integrated circuits; signal processing; artificial intelligence
Prof. Dr. Manas Ranjan Gartia

E-Mail Website
Guest Editor
Department of Mechanical & Industrial Engineering, Louisiana State University, Baton Rouge, LA 70803, USA
Interests: Raman spectroscopy & imaging; SHG microscopy; point of care devices; hyperspectral microscopy

Special Issue Information

Dear Colleagues,

Recent events related to COVID-19 have exposed the woeful lack of low-cost, point-of-care, sample-to-answer diagnostics. There is an urgent need to build next-generation biosensor systems for medical, food safety, environmental, defense and life science applications. Biosensors are impressive due to their ever-increasing spectrum of applications, spanning simple blood glucose detection meters to more challenging early-stage detection of cancer using liquid biopsies.

A biosensor system consists of three main components, namely, the bio-receptor, the transducer and the signal conditioning stage. Each of these components presents its own unique challenges. For example, the choice of bio-receptor (e.g., nucleic acid, antibodies, enzymes, peptides or aptamers) is critical to the detection of the analyte of interest. The sensitivity and selectivity of the bio-receptor plays a crucial role in determining biosensor performance, especially for multiplexed detection assays.

Transduction methodology is important for biosensor performance. Biomarker and transducer selection go hand in hand to design for the best signal-to-noise ratios. There are several transduction methods, including fluorescence, bioluminescence, electrochemical, piezoelectric, magnetic, etc.

The signal conditioning stage of a biosensor can perform magic on the transducer data. Recent advancements in artificial intelligence and pattern recognition provide promising tools to improve the accuracy of biosensors. Designing low-cost, compact hardware is attractive to build mobile biosensing platforms.

We live in exciting times, about to witness an inflection point in biosensing. Biosensors will have a strong and meaningful impact on the wellbeing of society. In this Special Issue, we seek unique research and development efforts in the broad area of biosensors. Submissions detailing biosensing systems, new biosensing applications, bio-recognition probes, biomarkers, transducers, hardware or signal processing techniques are encouraged.

Dr. Rituraj Singh
Prof. Dr. Manas Ranjan Gartia
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

  • biosensors
  • biomarkers
  • biochips
  • electrochemical
  • fluorescence
  • chemiluminescence
  • bioluminescence
  • piezoelectric
  • immunosensors
  • DNA
  • RNA
  • signal processing
  • machine learning

Published Papers (2 papers)

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Research

15 pages, 2012 KiB  
Article
Silicene Quantum Capacitance Dependent Frequency Readout to a Label-Free Detection of DNA Hybridization— A Simulation Analysis
by Md. Sazzadur Rahman, Rokaia Laizu Naima, Khatuna Jannatun Shetu, Md. Mahabub Hossain, M. Shamim Kaiser, A. S. M. Sanwar Hosen, Md. Abdul Latif Sarker and Kelvin J. A. Ooi
Biosensors 2021, 11(6), 178; https://doi.org/10.3390/bios11060178 - 01 Jun 2021
Cited by 3 | Viewed by 2766
Abstract
The use of deoxyribonucleic acid (DNA) hybridization to detect disease-related gene expression is a valuable diagnostic tool. An ion-sensitive field-effect transistor (ISFET) with a graphene layer has been utilized for detecting DNA hybridization. Silicene is a two-dimensional silicon allotrope with structural properties similar [...] Read more.
The use of deoxyribonucleic acid (DNA) hybridization to detect disease-related gene expression is a valuable diagnostic tool. An ion-sensitive field-effect transistor (ISFET) with a graphene layer has been utilized for detecting DNA hybridization. Silicene is a two-dimensional silicon allotrope with structural properties similar to graphene. Thus, it has recently experienced intensive scientific research interest due to its unique electrical, mechanical, and sensing characteristics. In this paper, we proposed an ISFET structure with silicene and electrolyte layers for the label-free detection of DNA hybridization. When DNA hybridization occurs, it changes the ion concentration in the surface layer of the silicene and the pH level of the electrolyte solution. The process also changes the quantum capacitance of the silicene layer and the electrical properties of the ISFET device. The quantum capacitance and the corresponding resonant frequency readout of the silicene and graphene are compared. The performance evaluation found that the changes in quantum capacitance, resonant frequency, and tuning ratio indicate that the sensitivity of silicene is much more effective than graphene. Full article
(This article belongs to the Special Issue Bio-Chips and Biosensors)
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11 pages, 4187 KiB  
Article
A Self-Priming Microfluidic Chip with Cushion Chambers for Easy Digital PCR
by Gangwei Xu, Huaqing Si, Fengxiang Jing, Peng Sun and Dongping Wu
Biosensors 2021, 11(5), 158; https://doi.org/10.3390/bios11050158 - 18 May 2021
Cited by 7 | Viewed by 3212
Abstract
A polydimethylsiloxane (PDMS)-based self-priming microfluidic chip with cushion chambers is presented in this study for robust and easy-operation digital polymerase chain reaction (dPCR). The chip has only one inlet and can partition samples autonomously through negative pressure, provided by a de-gassed PDMS layer [...] Read more.
A polydimethylsiloxane (PDMS)-based self-priming microfluidic chip with cushion chambers is presented in this study for robust and easy-operation digital polymerase chain reaction (dPCR). The chip has only one inlet and can partition samples autonomously through negative pressure, provided by a de-gassed PDMS layer with a multi-level vertical branching microchannel design. Meanwhile, cushion chambers make the chip capable of very robust use for sample partitioning. Finally, the proposed microfluidic chip showed excellent performance in the absolute quantification of a target gene by performing quantitative detection of a 10-fold serial dilution DNA template. Owing to its characteristics of easy operation, low cost, and high robustness, the proposed dPCR chip is expected to further promote the extensive application of digital PCR, especially in resource-limited settings. Full article
(This article belongs to the Special Issue Bio-Chips and Biosensors)
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