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Biosensors
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Detection of Proteins for Context-Aware Diagnostics
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Detection of Proteins for Context-Aware Diagnostics

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

Deadline for manuscript submissions: closed (28 February 2023) | Viewed by 9893

Special Issue Editors

Dr. Eric S. McLamore

E-Mail Website1 Website2
Guest Editor
1: Agricultural Sciences, Clemson University, Clemson, SC 29631, USA
2: Material Science and Engineering, North Carolina State University, Raleigh, NC 27695, USA
Interests: aptamers; protein-based biosensors; RNA virus; bacteria; phosphorus; nitrate
Special Issues, Collections and Topics in MDPI journals
Dr. Diana C. Vanegas

E-Mail Website
Guest Editor
Biosystems Engineering, Clemson University, Clemson, SC 29631, USA
Interests: biosensors; enzymes; electrochemistry; marginalized communities; sustainability; pathogens
Dr. Geisianny A.M. Moreira

E-Mail Website
Guest Editor
Biosystems Engineering, Clemson University, Clemson, SC 29631, USA
Interests: biomolecular interactions; microbial diversity; biosensors; biotechnology; environmental sustainability; pathogens; biomolecules

Special Issue Information

Dear Colleagues,

This Special Issue invites papers that represent state-of-the-art advances in biosensors focused on the detection of proteins. Reviews and manuscripts describing original research in protein detection are invited.

Detection of proteins in suspension or on the surfaces of cells is important in various medical, agricultural, and environmental applications. Mass spectroscopy and immunoassays are the primary analytical tools routinely used for the detection and identification of proteins. Mass spectroscopy is the gold standard for analytical and clinical sensitivity but is often cost-prohibitive and requires considerable infrastructure (including trained personnel). Immunoassays are rapid and simple but are not capable of quantification. Biosensors fill this technology gap and offer great potential for the rapid analytical detection of proteins. Over the last two decades, biosensors have demonstrated high accuracy, quick turnaround times, wide operating range, and excellent detection limit for proteins in suspension or on surfaces of cells.

Biosensor efficacy is a function of molecular interactions between the protein target and bioreceptor, as well as the transduction mechanism and use of post hoc analytics (e.g., machine learning). Recent advances in three key areas serve as the impetus for this Special Issue:

Area #1) Advances in molecular receptor chemistry for protein detection. Examples of relevant topics may include modified aptamers, stimulus-response materials, nanobodies, and phage display peptides, among others.

Area #2) Advances in transduction systems for protein detection. In addition to new laboratory analytical systems (e.g., biolayer interferometry, surface plasmon resonance), new portable devices have been developed based on optical, electrochemical, or magnetic transduction.

Area #3) Advances in data analytics for protein detection. New approaches for the extraction of signals from noise are highly relevant to this Special Issue. Examples include the use of machine learning or statistical approaches for improving the quantification of proteins in complex mixtures. 

Dr. Eric S. McLamore
Dr. Diana C. Vanegas
Dr. Geisianny A.M. Moreira
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

  • biosensor
  • protein
  • context-aware
  • diagnostics
  • pathogen
  • cell
  • bacteria
  • virus
  • membrane

Published Papers (4 papers)

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Editorial

Jump to: Research, Review

3 pages, 179 KiB  
Editorial
Context-Aware Diagnostic Specificity (CADS)
by Eric S. McLamore, Geisianny Moreira, Diana C. Vanegas and Shoumen Palit Austin Datta
Biosensors 2022, 12(2), 101; https://doi.org/10.3390/bios12020101 - 07 Feb 2022
Cited by 1 | Viewed by 1325
Abstract
Rapid detection of proteins is critical in a vast array of diagnostic or monitoring applications [...] Full article
(This article belongs to the Special Issue Detection of Proteins for Context-Aware Diagnostics)

Research

Jump to: Editorial, Review

13 pages, 2428 KiB  
Article
Stability of ACE2 Peptide Mimetics and Their Implications on the Application for SARS-CoV2 Detection
by Paula A. Santana, Claudio A. Álvarez, Santiago Valenzuela, Alberto Manchego, Fanny Guzmán, Cristian Tirapegui and Manuel Ahumada
Biosensors 2023, 13(4), 473; https://doi.org/10.3390/bios13040473 - 13 Apr 2023
Cited by 1 | Viewed by 1304
Abstract
The SARS-CoV-2 worldwide outbreak prompted the development of several tools to detect and treat the disease. Among the new detection proposals, the use of peptides mimetics has surged as an alternative to avoid the use of antibodies, of which there has been a [...] Read more.
The SARS-CoV-2 worldwide outbreak prompted the development of several tools to detect and treat the disease. Among the new detection proposals, the use of peptides mimetics has surged as an alternative to avoid the use of antibodies, of which there has been a shortage during the COVID-19 pandemic. However, the use of peptides in detection systems still presents some questions to be answered, mainly referring to their stability under different environmental conditions. In this work, we synthesized an ACE2 peptide mimic and evaluated its stability in different pH, salinity, polarity, and temperature conditions. Further, the same conditions were assessed when using the ability of the peptide mimic to detect the recombinant SARS-CoV-2 spike protein in a biotin-streptavidin-enzyme-linked assay. Finally, we also tested the capacity of the peptide to detect SARS-CoV-2 from patients’ samples. The results indicate that the peptide is structurally sensitive to the medium conditions, with relevance to the pH, where basic pH favored its performance when used as a SARS-CoV-2 detector. Further, the proposed peptide mimic was able to detect SARS-CoV-2 comparably to RT-qPCR results. Therefore, the present study promotes knowledge advancement, particularly in terms of stability considerations, in the application of peptide mimics as a replacement for antibodies in detection systems. Full article
(This article belongs to the Special Issue Detection of Proteins for Context-Aware Diagnostics)
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23 pages, 3754 KiB  
Article
An Experimental Framework for Developing Point-of-Need Biosensors: Connecting Bio-Layer Interferometry and Electrochemical Impedance Spectroscopy
by Sadia Fida Ullah, Geisianny Moreira, Shoumen Palit Austin Datta, Eric McLamore and Diana Vanegas
Biosensors 2022, 12(11), 938; https://doi.org/10.3390/bios12110938 - 29 Oct 2022
Cited by 6 | Viewed by 2446
Abstract
Biolayer interferometry (BLI) is a well-established laboratory technique for studying biomolecular interactions important for applications such as drug development. Currently, there are interesting opportunities for expanding the use of BLI in other fields, including the development of rapid diagnostic tools. To date, there [...] Read more.
Biolayer interferometry (BLI) is a well-established laboratory technique for studying biomolecular interactions important for applications such as drug development. Currently, there are interesting opportunities for expanding the use of BLI in other fields, including the development of rapid diagnostic tools. To date, there are no detailed frameworks for implementing BLI in target-recognition studies that are pivotal for developing point-of-need biosensors. Here, we attempt to bridge these domains by providing a framework that connects output(s) of molecular interaction studies with key performance indicators used in the development of point-of-need biosensors. First, we briefly review the governing theory for protein-ligand interactions, and we then summarize the approach for real-time kinetic quantification using various techniques. The 2020 PRISMA guideline was used for all governing theory reviews and meta-analyses. Using the information from the meta-analysis, we introduce an experimental framework for connecting outcomes from BLI experiments (KD, kon, koff) with electrochemical (capacitive) biosensor design. As a first step in the development of a larger framework, we specifically focus on mapping BLI outcomes to five biosensor key performance indicators (sensitivity, selectivity, response time, hysteresis, operating range). The applicability of our framework was demonstrated in a study of case based on published literature related to SARS-CoV-2 spike protein to show the development of a capacitive biosensor based on truncated angiotensin-converting enzyme 2 (ACE2) as the receptor. The case study focuses on non-specific binding and selectivity as research goals. The proposed framework proved to be an important first step toward modeling/simulation efforts that map molecular interactions to sensor design. Full article
(This article belongs to the Special Issue Detection of Proteins for Context-Aware Diagnostics)
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Review

Jump to: Editorial, Research

18 pages, 3724 KiB  
Review
Progression of LAMP as a Result of the COVID-19 Pandemic: Is PCR Finally Rivaled?
by Cassidy Mannier and Jeong-Yeol Yoon
Biosensors 2022, 12(7), 492; https://doi.org/10.3390/bios12070492 - 06 Jul 2022
Cited by 7 | Viewed by 4028
Abstract
Reflecting on the past three years and the coronavirus disease 19 (COVID-19) pandemic, varying global tactics offer insights into the most effective public-health responses. In the US, specifically, rapid and widespread testing was quickly prioritized to lower restrictions sooner. Essentially, only two types [...] Read more.
Reflecting on the past three years and the coronavirus disease 19 (COVID-19) pandemic, varying global tactics offer insights into the most effective public-health responses. In the US, specifically, rapid and widespread testing was quickly prioritized to lower restrictions sooner. Essentially, only two types of COVID-19 diagnostic tests were publicly employed during the peak pandemic: the rapid antigen test and reverse transcription polymerase chain reaction (RT-PCR). However, neither test ideally suited the situation, as rapid antigen tests are far too inaccurate, and RT-PCR tests require skilled personnel and sophisticated equipment, leading to long wait times. Loop-mediated isothermal amplification (LAMP) is another exceptionally accurate nucleic acid amplification test (NAAT) that offers far quicker time to results. However, RT-LAMP COVID-19 tests have not been embraced as extensively as rapid antigen tests or RT-PCR. This review will investigate the performance of current RT-LAMP-based COVID-19 tests and summarize the reasons behind the hesitancy to embrace RT-LAMP instead of RT-PCR. We will also look at other LAMP platforms to explore possible improvements in the accuracy and portability of LAMP, which could be applied to COVID-19 diagnostics and future public-health outbreaks. Full article
(This article belongs to the Special Issue Detection of Proteins for Context-Aware Diagnostics)
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