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Biosensors
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Biosensors for Healthcare and Disease Diagnosis
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Biosensors for Healthcare and Disease Diagnosis

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

Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 13904

Special Issue Editors

Prof. Dr. Alistair McEwan

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Guest Editor
School of Biomedical Engineering, University of Sydney, Sydney, NSW 2006, Australia
Interests: electrical properties of biological tissue; development of new devices to improve diagnosis and treatment of health problems
Dr. Corinne Caillaud

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Guest Editor
School of Information Technologies, University of Sydney, Sydney, NSW 2006, Australia
Interests: energy metabolism and stress responses in relation to health outcomes
Dr. Omid Kavehei

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Guest Editor
School of Biomedical Engineering, University of Sydney, Sydney, NSW 2006, Australia
Interests: neuromonitoring; multimodal neurosensing; closed-loop neuromodulation; responsive neuromodulation; critical care; biomedical Informatics
Special Issues, Collections and Topics in MDPI journals
Dr. Rona Chandrawati

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Guest Editor
School of Chemical Engineering, University of New South Wales, Sydney, NSW 2052, Australia
Interests: nanoparticle sensors; biosensors; early disease diagnosis; food and health monitoring; drug delivery; nitric oxide; enzymes and enzyme mimics; biomaterials; cell-material interactions; bioconjugation and surface chemistry
Special Issues, Collections and Topics in MDPI journals
Dr. Nhan Duy Truong

E-Mail Website
Guest Editor
School of Biomedical Engineering, University of Sydney, Sydney, NSW 2006, Australia
Interests: electromagnetic biosignals; medical devices; recording and stimulation systems; and deep learning in biomedical applications

Special Issue Information

Dear Colleagues,

Neuromuscular diseases affect people at all ages, sex and ethnicities. They can be inherited or caused by a spontaneous gene mutation. Electromagnetic signals, including electromyogram (EMG) and electroencephalogram (EEG), are widely used in neuromuscular disease diagnosis and management. These signals are also used to support motor rehabilitation for stroke patients.

Commonly associated co-morbidities include impaired cardiovascular and respiratory functions. It is of crucial importance to have a reliable continuous monitoring system for the heart (electrocardiogram) and lung’s functions (oscillometry). Patients with neuromuscular diseases also face challenges in medical treatment. For example, neuromuscular blockers or muscle relaxants that are used in anesthesia could cause fatal or permanent injuries. In this case, in addition to vital signal monitoring, drug delivery systems to ensure the drug affects only the target muscles are beneficial.

In this context, we are delighted to present this Special Issue of Biosensors for Health Care and Disease Diagnosis. This Special Issue will focus on original research that addresses but is not limited to the following topics:

  • Electromagnetic signals for neuromuscular diseases: diagnosis and rehabilitation
  • Advanced materials and nanoparticles for smart drug delivery

Prof. Dr. Alistair McEwan
Dr. Corinne Caillaud
Dr. Omid Kavehei
Dr. Rona Chandrawati
Dr. Nhan Duy Truong
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.

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

Published Papers (2 papers)

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Research

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10 pages, 1667 KiB  
Communication
Direct Use of a Saliva-Collected Cotton Swab in Lateral Flow Immunoassay for the Detection of Cotinine
by Chaewon Jung and Min-Gon Kim
Biosensors 2022, 12(4), 214; https://doi.org/10.3390/bios12040214 - 6 Apr 2022
Cited by 10 | Viewed by 3713
Abstract
The detection of salivary cotinine is useful for convenient smoking tests in spite of the high background effect of saliva. For precise results, the conventional salivary cotinine analysis for smoking detection requires complex pretreatment processes. Hence, in this study, we developed a modified [...] Read more.
The detection of salivary cotinine is useful for convenient smoking tests in spite of the high background effect of saliva. For precise results, the conventional salivary cotinine analysis for smoking detection requires complex pretreatment processes. Hence, in this study, we developed a modified paper-based lateral flow immunoassay (LFIA), termed “gap-LFIA”, for the direct application of saliva collected using cotton swabs for on-site detection. The gap-LFIA was constructed by modifying a conventional LFIA sensor, where the sample pad was divided to have a 3 mm gap. A saliva-collected cotton swab was inserted into the gap, and then, a buffer solution was added to the outer sample pad to dilute the saliva automatically. The gap-LFIA reduced the interference in salivary samples and showed improved signals, allowing for using the whole saliva directly without additional steps. Further, the deviation of results using a strip was less than that when the saliva was not diluted in a conventional cotinine kit, and it helped to distinguish between smokers and non-smokers more clearly in 15 min. This method of automatic dilution may apply to various clinical samples, including blood and serum, for direct application in future detections. Full article
(This article belongs to the Special Issue Biosensors for Healthcare and Disease Diagnosis)
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Review

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30 pages, 6211 KiB  
Review
A Review on SERS-Based Detection of Human Virus Infections: Influenza and Coronavirus
by Fernanda Saviñon-Flores, Erika Méndez, Mónica López-Castaños, Alejandro Carabarin-Lima, Karen A. López-Castaños, Miguel A. González-Fuentes and Alia Méndez-Albores
Biosensors 2021, 11(3), 66; https://doi.org/10.3390/bios11030066 - 28 Feb 2021
Cited by 72 | Viewed by 8762
Abstract
The diagnosis of respiratory viruses of zoonotic origin (RVsZO) such as influenza and coronaviruses in humans is crucial, because their spread and pandemic threat are the highest. Surface–enhanced Raman spectroscopy (SERS) is an analytical technique with promising impact for the point–of–care diagnosis of [...] Read more.
The diagnosis of respiratory viruses of zoonotic origin (RVsZO) such as influenza and coronaviruses in humans is crucial, because their spread and pandemic threat are the highest. Surface–enhanced Raman spectroscopy (SERS) is an analytical technique with promising impact for the point–of–care diagnosis of viruses. It has been applied to a variety of influenza A virus subtypes, such as the H1N1 and the novel coronavirus SARS−CoV−2. In this work, a review of the strategies used for the detection of RVsZO by SERS is presented. In addition, relevant information about the SERS technique, anthropozoonosis, and RVsZO is provided for a better understanding of the theme. The direct identification is based on trapping the viruses within the interstices of plasmonic nanoparticles and recording the SERS signal from gene fragments or membrane proteins. Quantitative mono- and multiplexed assays have been achieved following an indirect format through a SERS-based sandwich immunoassay. Based on this review, the development of multiplex assays that incorporate the detection of RVsZO together with their specific biomarkers and/or secondary disease biomarkers resulting from the infection progress would be desirable. These configurations could be used as a double confirmation or to evaluate the health condition of the patient. Full article
(This article belongs to the Special Issue Biosensors for Healthcare and Disease Diagnosis)
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