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Biosensors
Special Issues
Gas Detection Biosensors for Medical and Health Applications
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Gas Detection Biosensors for Medical and Health Applications

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

Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 6997

Special Issue Editor

Dr. Chuntae Kim

E-Mail Website
Guest Editor
BIO-IT Foundry Technology Institute, Pusan National University, Busan 46241, Korea
Interests: biomaterials; biosensor; bio-receptor; gas sensor; artificial olfactory; health care device

Special Issue Information

Dear Colleagues,

We are pleased to announce this Special Issue regarding new gas detection biosensors for medical health applications. Technology able to monitor the health status and diagnose diseases prematurely is a very important factor in the field of modern health and medical technology, and by periodically monitoring health conditions, it is possible to increase human survival and reduce treatment costs by preventing diseases or treating them in the early stages. Through this Special Issue, we would like to discuss a number of promising fields granted the goal of developing technologies for this purpose through a gas analysis of, for example, human exhalation or gas components that exist in various by-products, such as in body odor. We recommend the introduction of cases of the detection of specific VOCs in exhaled breath gas caused by metabolic disorders, and to submit papers dealing with the current state of complex gas analysis sensor technologies that can utilize these research results.

This Special Issue will focus on improved biosensor platform-based medical health care application papers, such as *multi-array sensor-based multi-analysis sensor technology and the *introduction to signal processing technology based on olfactory cognitive mechanisms using various types of biosensor technologies.

Dr. Chuntae Kim
Guest Editor

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

  • gas detection
  • health care device
  • bio-sensor
  • olfactory sensor
  • electronic nose
  • exhaled breath analysis
  • diagnostics
  • artificial olfactory

Published Papers (3 papers)

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Research

13 pages, 2152 KiB  
Article
Breath Analysis of COVID-19 Patients in a Tertiary UK Hospital by Optical Spectrometry: The E-Nose CoVal Study
by Steven Laird, Luke Debenham, Danny Chandla, Cathleen Chan, Emma Daulton, Johnathan Taylor, Palashika Bhat, Lisa Berry, Peter Munthali and James A. Covington
Biosensors 2023, 13(2), 165; https://doi.org/10.3390/bios13020165 - 20 Jan 2023
Cited by 9 | Viewed by 2056
Abstract
Throughout the SARS-CoV-2 pandemic, diagnostic technology played a crucial role in managing outbreaks on a national and global level. One diagnostic modality that has shown promise is breath analysis, due to its non-invasive nature and ability to give a rapid result. In this [...] Read more.
Throughout the SARS-CoV-2 pandemic, diagnostic technology played a crucial role in managing outbreaks on a national and global level. One diagnostic modality that has shown promise is breath analysis, due to its non-invasive nature and ability to give a rapid result. In this study, a portable FTIR (Fourier Transform Infra-Red) spectrometer was used to detect chemical components in the breath from Covid positive symptomatic and asymptomatic patients versus a control cohort of Covid negative patients. Eighty-five patients who had a nasopharyngeal polymerase chain reaction (PCR) test for the detection of SARS-CoV-2 within the last 5 days were recruited to the study (36 symptomatic PCR positive, 23 asymptomatic PCR positive and 26 asymptomatic PCR negative). Data analysis indicated significant difference between the groups, with SARS-CoV-2 present on PCR versus the negative PCR control group producing an area under the curve (AUC) of 0.87. Similar results were obtained comparing symptomatic versus control and asymptomatic versus control. The asymptomatic results were higher than the symptomatic (0.88 vs. 0.80 AUC). When analysing individual chemicals, we found ethanol, methanol and acetaldehyde were the most important, with higher concentrations in the COVID-19 group, with symptomatic patients being higher than asymptomatic patients. This study has shown that breath analysis can provide significant results that distinguish patients with or without COVID-19 disease/carriage. Full article
(This article belongs to the Special Issue Gas Detection Biosensors for Medical and Health Applications)
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18 pages, 8058 KiB  
Article
A Bilayer SnO2/MoS2-Coated Evanescent Wave Fiber Optic Sensor for Acetone Detection—An Experimental Study
by A. Prasanth, Selamawit Getachew, Tseganesh Shewa, M. Velumani, S. R. Meher and Z. C. Alex
Biosensors 2022, 12(9), 734; https://doi.org/10.3390/bios12090734 - 7 Sep 2022
Cited by 3 | Viewed by 2014
Abstract
The need for sensors that measure the acetone content of exhaled breath for diabetes severity has recently increased. Clinical researchers have reported less than 0.8 ppm acetone concentration in the exhaled breath of an average individual, while that for a diabetic patient is [...] Read more.
The need for sensors that measure the acetone content of exhaled breath for diabetes severity has recently increased. Clinical researchers have reported less than 0.8 ppm acetone concentration in the exhaled breath of an average individual, while that for a diabetic patient is higher than 1.8 ppm. This work reports the development of two sets of evanescent wave-based fiber optic sensor coated with SnO2 thin film and bilayer of SnO2/MoS2 to detect different acetone concentrations (0–250 ppm). In each set, we have studied the effect of clad thickness (chemical etch time 5min, 10 min, 15 min, 25 min, 40 min, and complete clad removal) to optimize the clad thickness for a better response. In Set 1, SnO2 thin film was used as the sensing layer, while in Set 2 a bilayer of SnO2 thin film/ MoS2 was used. Enhanced sensor response of ~23.5% is observed in the Set 2 probe with a response and recovery time of ~14 s/~17 s. A SnO2/MoS2-coated sensor prototype is developed using LEDs of different wavelength and intensity detector; its potential to detect different concentrations of acetone is tested. X-ray Diffraction (XRD), Scanning Electron Microscope (SEM), Ultraviolet (UV) Spectroscopy, and Ellipsometry were used to study the structural, morphological and optical properties of the sensing layers. The present study indicates that the SnO2/MoS2-coated sensor has the potential to create a handheld sensor system for monitoring diabetes. Full article
(This article belongs to the Special Issue Gas Detection Biosensors for Medical and Health Applications)
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17 pages, 5915 KiB  
Article
Fabrication and Characterization of Acute Myocardial Infarction Myoglobin Biomarker Based on Chromium-Doped Zinc Oxide Nanoparticles
by Adel Al Fatease, Mazharul Haque, Ahmad Umar, Shafeeque G. Ansari, Mater H. Mahnashi, Yahya Alhamhoom and Zubaida A. Ansari
Biosensors 2022, 12(8), 585; https://doi.org/10.3390/bios12080585 - 1 Aug 2022
Cited by 5 | Viewed by 2284
Abstract
In this article, we describe the fabrication and characterization of a sensor for acute myocardial infarction that detects myoglobin biomarkers using chromium (Cr)-doped zinc oxide (ZnO) nanoparticles (NPs). Pure and Cr-doped ZnO NPs (13 × 1017, 20 × 1017, [...] Read more.
In this article, we describe the fabrication and characterization of a sensor for acute myocardial infarction that detects myoglobin biomarkers using chromium (Cr)-doped zinc oxide (ZnO) nanoparticles (NPs). Pure and Cr-doped ZnO NPs (13 × 1017, 20 × 1017, and 32 × 1017 atoms/cm3 in the solid phase) were synthesized by a facile low-temperature sol-gel method. Synthesized NPs were examined for structure and morphological analysis using various techniques to confirm the successful formation of ZnO NPs. Zeta potential was measured in LB media at a negative value and increased with doping. XPS spectra confirmed the presence of oxygen deficiency in the synthesized material. To fabricate the sensor, synthesized NPs were screen-printed over a pre-fabricated gold-coated working electrode for electrochemical detection of myoglobin (Mb). Cr-doped ZnO NPs doped with 13 × 1017 Cr atomic/cm3 revealed the highest sensitivity of ~37.97 μA.cm−2nM−1 and limit of detection (LOD) of 0.15 nM for Mb with a response time of ≤10 ms. The interference study was carried out with cytochrome c (Cyt-c) due to its resemblance with Mb and human serum albumin (HSA) abundance in the blood and displayed distinct oxidation potential and current values for Mb. Cr-doped ZnO NP-based Mb biosensors showed 3 times higher sensitivity as compared to pure ZnO NP-based sensors. Full article
(This article belongs to the Special Issue Gas Detection Biosensors for Medical and Health Applications)
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