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Biosensors for Clinical Diagnosis and Monitoring
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Biosensors for Clinical Diagnosis and Monitoring

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".

Deadline for manuscript submissions: closed (15 May 2023) | Viewed by 4868

Special Issue Editors

Dr. Bo Liang

E-Mail Website
Guest Editor
Biosensor National Special Laboratory, Key Laboratory of Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou 310027, China
Interests: Biosensors; Electrochemical sensors; POCT instruments
Dr. Yi Wang

E-Mail Website
Guest Editor
Biosensor and Wearable Device Group, Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou 325011, China
Interests: Optical biosensors and cellular imaging based on surface plasmon, surface enhanced Raman scattering and plasmon-enhanced fluorescence; Electrochemical biosensors based on nanomaterials and flexible materials; Optical and electrical sensor devices

Special Issue Information

Dear Colleagues,

Recently, Biosensors for Clinical Diagnosis and Monitoring have been widely researched and achieved notable commercial successes in some cases. There still have many remaining challenges impeding future progress in the field of biosensors for clinical applications. The aim of the special issue is to introduce the up-to-date research activities in Biosensors for Clinical Diagnosis and Monitoring, presenting innovative technologies, devices and methods for future clinical diagnosis and healthcare monitoring. The special issue will publish original and review articles, as well as future perspectives in Biosensors for Clinical Diagnosis and Monitoring. The key topics of this special issue include but are not limited to the principles, technologies, devices and systems for Biosensors for Clinical Diagnosis and Monitoring, such as: Point of Care Testing, In Vivo Monitoring, Electrochemical sensors, Colorimetric Strips, Microfluidics for Diagnosis, Nanomaterials for Biosensors, Biocompatibility Challenges, Integrated Device and Systems.

Dr. Bo Liang
Dr. Yi 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. Sensors is an international peer-reviewed open access semimonthly 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 2600 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

  • Point of Care Testing
  • In Vivo Monitoring
  • Electrochemical Detection
  • Colorimetric Sensing
  • Microfluidics
  • Nanomaterials for Biosensors
  • Biocompatibility
  • Integrated Systems

Published Papers (2 papers)

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9 pages, 1297 KiB  
Article
Spectral Reflectance as a Unique Tissue Identifier in Healthy Humans and Inhalation Injury Subjects
by Carlos N. Bedolla, Catherine Rauschendorfer, Drew B. Havard, Blaine A. Guenther, Julie A. Rizzo, August N. Blackburn, Kathy L. Ryan and Megan B. Blackburn
Sensors 2022, 22(9), 3377; https://doi.org/10.3390/s22093377 - 28 Apr 2022
Viewed by 1342
Abstract
Tracheal intubation is the preferred method of airway management, a common emergency trauma medicine problem. Currently, methods for confirming tracheal tube placement are lacking, and we propose a novel technology, spectral reflectance, which may be incorporated into the tracheal tube for verification of [...] Read more.
Tracheal intubation is the preferred method of airway management, a common emergency trauma medicine problem. Currently, methods for confirming tracheal tube placement are lacking, and we propose a novel technology, spectral reflectance, which may be incorporated into the tracheal tube for verification of placement. Previous work demonstrated a unique spectral profile in the trachea, which allowed differentiation from esophageal tissue in ex vivo swine, in vivo swine, and human cadavers. The goal of this study is to determine if spectral reflectance can differentiate between trachea and other airway tissues in living humans and whether the unique tracheal spectral profile persists in the presence of an inhalation injury. Reflectance spectra were captured using a custom fiber-optic probe from the buccal mucosa, posterior oropharynx, and trachea of healthy humans intubated for third molar extraction and from the trachea of patients admitted to a burn intensive care unit with and without inhalation injury. Using ratio comparisons, we found that the tracheal spectral profile was significantly different from buccal mucosa or posterior oropharynx, but the area under the curve values are not high enough to be used clinically. In addition, inhalation injury did not significantly alter the spectral reflectance of the trachea. Further studies are needed to determine the utility of this technology in a clinical setting and to develop an algorithm for tissue differentiation. Full article
(This article belongs to the Special Issue Biosensors for Clinical Diagnosis and Monitoring)
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8 pages, 2517 KiB  
Perspective
Future Trends in Semiconducting Gas-Selective Sensing Probes for Skin Diagnostics
by Anthony Annerino and Pelagia-Irene (Perena) Gouma
Sensors 2021, 21(22), 7554; https://doi.org/10.3390/s21227554 - 13 Nov 2021
Cited by 2 | Viewed by 2721
Abstract
This paper presents sensor nanotechnologies that can be used for the skin-based gas “smelling” of disease. Skin testing may provide rapid and reliable results, using specific “fingerprints” or unique patterns for a variety of diseases and conditions. These can include metabolic diseases, such [...] Read more.
This paper presents sensor nanotechnologies that can be used for the skin-based gas “smelling” of disease. Skin testing may provide rapid and reliable results, using specific “fingerprints” or unique patterns for a variety of diseases and conditions. These can include metabolic diseases, such as diabetes and cholesterol-induced heart disease; neurological diseases, such as Alzheimer’s and Parkinson’s; quality of life conditions, such as obesity and sleep apnea; pulmonary diseases, such as cystic fibrosis, asthma, and chronic obstructive pulmonary disease; gastrointestinal tract diseases, such as irritable bowel syndrome and colitis; cancers, such as breast, lung, pancreatic, and colon cancers; infectious diseases, such as the flu and COVID-19; as well as diseases commonly found in ICU patients, such as urinary tract infections, pneumonia, and infections of the blood stream. Focusing on the most common gaseous biomarkers in breath and skin, which is nitric oxide and carbon monoxide, and certain abundant volatile organic compounds (acetone, isoprene, ammonia, alcohols, sulfides), it is argued here that effective discrimination between the diseases mentioned above is possible, by capturing the relative sensor output signals from the detection of each of these biomarkers and identifying the distinct breath print for each disease. Full article
(This article belongs to the Special Issue Biosensors for Clinical Diagnosis and Monitoring)
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