Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
7.3
3.4
Journals
Sensors
Special Issues
Innovative Applications of Gas Sensing Technology in the Medical and...
sensors-logo
Submit to Special Issue Submit Abstract to Special Issue Review for Sensors Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Innovative Applications of Gas Sensing Technology in the Medical and Health Field

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

Deadline for manuscript submissions: 25 October 2025 | Viewed by 1357

Special Issue Editor

Dr. Xiaofeng Wang

E-Mail Website
Guest Editor
School of General Education, Dalian University of Technology, 2 Dagong Road, Liaodongwan New District, Panjin 124221, China
Interests: gas sensors

Special Issue Information

Dear Colleagues,

In the present era with ever-changing science and technology, gas-sensing technology, with its unique advantages, has shown remarkable potential in many cutting-edge fields. Among them, its application in the medical and health field has broad development prospects.

This Special Issue focuses on the theme of "Innovative Applications of Gas Sensing Technology in the Medical and Health Field". Gas sensing technology is of great significance in disease diagnosis. It can detect biomarkers such as volatile organic compounds in human exhaled gas, providing a key basis for the early diagnosis of cancers, diabetes, respiratory diseases, etc. Meanwhile, in respiratory analysis, gas sensors can monitor the respiratory rate and changes in gas composition in real time, assisting doctors in assessing the cardiopulmonary function and metabolic status of patients.

In addition, gas sensing technology can also be applied in the process of drug research and development to monitor the drug release process in real time, ensuring the precise delivery and therapeutic effect of drugs. The research and development of new gas-sensing materials is also constantly advancing, providing support for improving the accuracy and sensitivity of medical detection. Through this Special Issue, the aim is to bring together the latest research results and practical experience, promote the in-depth application and innovative development of gas sensing technology in the medical and health field, and open new ways and directions for improving human health conditions and enhancing the level of medicine. 

Dr. Xiaofeng Wang
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. 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

  • disease diagnosis
  • respiratory analysis
  • biomarker detection
  • drug release monitoring
  • new sensing materials
  • gas-sensing mechanism

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

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

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

21 pages, 4942 KiB  
Article
A New Computational Method for Detecting Leak Flow and Tidal Volume Waveforms During Spontaneous or Mandatory Breathing Assisted with Nasopharyngeal Ventilation
by Francesco Montecchia and Paola Papoff
Sensors 2025, 25(7), 2022; https://doi.org/10.3390/s25072022 - 24 Mar 2025
Viewed by 223
Abstract
Nasopharyngeal ventilation (NPV) is a common technique used to support breathing, particularly when a patient’s respiration is inadequate, such as under sedation. It involves delivering oxygen through an endotracheal tube positioned above the glottis. Accurate tidal volume measurement is crucial for anesthesiologists, with [...] Read more.
Nasopharyngeal ventilation (NPV) is a common technique used to support breathing, particularly when a patient’s respiration is inadequate, such as under sedation. It involves delivering oxygen through an endotracheal tube positioned above the glottis. Accurate tidal volume measurement is crucial for anesthesiologists, with the gold standard being a pneumotachograph. However, due to leakage from the mouth or mask, this method has limitations when applied to NPV. This study introduces a computational model that calculates respiratory flow in real time by accounting for leak flow. Results show that tidal volume measurements using this method are comparable to the gold standard, assuming the model’s assumptions hold true. Full article
(This article belongs to the Special Issue Innovative Applications of Gas Sensing Technology in the Medical and Health Field)
►▼ Show Figures

Figure 1

16 pages, 2629 KiB  
Article
The Development and Optimisation of a Urinary Volatile Organic Compound Analytical Platform Using Gas Sensor Arrays for the Detection of Colorectal Cancer
by Ramesh P. Arasaradnam, Ashwin Krishnamoorthy, Mark A. Hull, Peter Wheatstone, Frank Kvasnik and Krishna C. Persaud
Sensors 2025, 25(3), 599; https://doi.org/10.3390/s25030599 - 21 Jan 2025
Viewed by 880
Abstract
The profile of Volatile Organic Compounds (VOCs) may help prioritise at-risk groups for early cancer detection. Urine sampling has been shown to provide good disease accuracy whilst being patient acceptable compared to faecal analysis. Thus, in this study, urine samples were examined using [...] Read more.
The profile of Volatile Organic Compounds (VOCs) may help prioritise at-risk groups for early cancer detection. Urine sampling has been shown to provide good disease accuracy whilst being patient acceptable compared to faecal analysis. Thus, in this study, urine samples were examined using an electronic nose with metal oxide gas sensors and a solid-phase microextraction sampling system. A calibration dataset (derived from a previous study) with CRC-positive patients and healthy controls was used to train a radial basis function neural network. However, a blinded analysis failed to detect CRC accurately, necessitating an enhanced data-processing strategy. This new approach categorised samples by significant bowel diseases, including CRC and high-risk polyps. Retraining the neural network showed an area under the ROC curve of 0.88 for distinguishing CRC versus non-significant bowel disease (without CRC, polyps or inflammation). These findings suggest that, with appropriate training sets, urine VOC analysis could be a rapid, low-cost method for early detection of precancerous colorectal polyps and CRC. Full article
(This article belongs to the Special Issue Innovative Applications of Gas Sensing Technology in the Medical and Health Field)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop