Breath Analysis: A Promising Tool for Disease Diagnosis—The Role of Sensors

Early-stage disease diagnosis is of particular importance for effective patient identification as well as their treatment. Lack of patient compliance for the existing diagnostic methods, however, limits prompt diagnosis, rendering the development of non-invasive diagnostic tools mandatory. One of th...

Full description

Bibliographic Details
Main Authors: Maria Kaloumenou, Evangelos Skotadis, Nefeli Lagopati, Efstathios Efstathopoulos, Dimitris Tsoukalas
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/3/1238
_version_ 1797484519797817344
author Maria Kaloumenou
Evangelos Skotadis
Nefeli Lagopati
Efstathios Efstathopoulos
Dimitris Tsoukalas
author_facet Maria Kaloumenou
Evangelos Skotadis
Nefeli Lagopati
Efstathios Efstathopoulos
Dimitris Tsoukalas
author_sort Maria Kaloumenou
collection DOAJ
description Early-stage disease diagnosis is of particular importance for effective patient identification as well as their treatment. Lack of patient compliance for the existing diagnostic methods, however, limits prompt diagnosis, rendering the development of non-invasive diagnostic tools mandatory. One of the most promising non-invasive diagnostic methods that has also attracted great research interest during the last years is breath analysis; the method detects gas-analytes such as exhaled volatile organic compounds (VOCs) and inorganic gases that are considered to be important biomarkers for various disease-types. The diagnostic ability of gas-pattern detection using analytical techniques and especially sensors has been widely discussed in the literature; however, the incorporation of novel nanomaterials in sensor-development has also proved to enhance sensor performance, for both selective and cross-reactive applications. The aim of the first part of this review is to provide an up-to-date overview of the main categories of sensors studied for disease diagnosis applications via the detection of exhaled gas-analytes and to highlight the role of nanomaterials. The second and most novel part of this review concentrates on the remarkable applicability of breath analysis in differential diagnosis, phenotyping, and the staging of several disease-types, which are currently amongst the most pressing challenges in the field.
first_indexed 2024-03-09T23:06:32Z
format Article
id doaj.art-0c0846e0184f4d82bc6b839c676de70b
institution Directory Open Access Journal
issn 1424-8220
language English
last_indexed 2024-03-09T23:06:32Z
publishDate 2022-02-01
publisher MDPI AG
record_format Article
series Sensors
spelling doaj.art-0c0846e0184f4d82bc6b839c676de70b2023-11-23T17:52:45ZengMDPI AGSensors1424-82202022-02-01223123810.3390/s22031238Breath Analysis: A Promising Tool for Disease Diagnosis—The Role of SensorsMaria Kaloumenou0Evangelos Skotadis1Nefeli Lagopati2Efstathios Efstathopoulos3Dimitris Tsoukalas4Department of Applied Physics, National Technical University of Athens, 15780 Athens, GreeceDepartment of Applied Physics, National Technical University of Athens, 15780 Athens, GreeceMedical School, National and Kapodistrian University of Athens, 75, Mikras Asias Str., Goudi, 11527 Athens, GreeceMedical School, National and Kapodistrian University of Athens, 75, Mikras Asias Str., Goudi, 11527 Athens, GreeceDepartment of Applied Physics, National Technical University of Athens, 15780 Athens, GreeceEarly-stage disease diagnosis is of particular importance for effective patient identification as well as their treatment. Lack of patient compliance for the existing diagnostic methods, however, limits prompt diagnosis, rendering the development of non-invasive diagnostic tools mandatory. One of the most promising non-invasive diagnostic methods that has also attracted great research interest during the last years is breath analysis; the method detects gas-analytes such as exhaled volatile organic compounds (VOCs) and inorganic gases that are considered to be important biomarkers for various disease-types. The diagnostic ability of gas-pattern detection using analytical techniques and especially sensors has been widely discussed in the literature; however, the incorporation of novel nanomaterials in sensor-development has also proved to enhance sensor performance, for both selective and cross-reactive applications. The aim of the first part of this review is to provide an up-to-date overview of the main categories of sensors studied for disease diagnosis applications via the detection of exhaled gas-analytes and to highlight the role of nanomaterials. The second and most novel part of this review concentrates on the remarkable applicability of breath analysis in differential diagnosis, phenotyping, and the staging of several disease-types, which are currently amongst the most pressing challenges in the field.https://www.mdpi.com/1424-8220/22/3/1238breath analysisvolatile organic compoundssensorsnanomaterialsdifferential diagnosis
spellingShingle Maria Kaloumenou
Evangelos Skotadis
Nefeli Lagopati
Efstathios Efstathopoulos
Dimitris Tsoukalas
Breath Analysis: A Promising Tool for Disease Diagnosis—The Role of Sensors
Sensors
breath analysis
volatile organic compounds
sensors
nanomaterials
differential diagnosis
title Breath Analysis: A Promising Tool for Disease Diagnosis—The Role of Sensors
title_full Breath Analysis: A Promising Tool for Disease Diagnosis—The Role of Sensors
title_fullStr Breath Analysis: A Promising Tool for Disease Diagnosis—The Role of Sensors
title_full_unstemmed Breath Analysis: A Promising Tool for Disease Diagnosis—The Role of Sensors
title_short Breath Analysis: A Promising Tool for Disease Diagnosis—The Role of Sensors
title_sort breath analysis a promising tool for disease diagnosis the role of sensors
topic breath analysis
volatile organic compounds
sensors
nanomaterials
differential diagnosis
url https://www.mdpi.com/1424-8220/22/3/1238
work_keys_str_mv AT mariakaloumenou breathanalysisapromisingtoolfordiseasediagnosistheroleofsensors
AT evangelosskotadis breathanalysisapromisingtoolfordiseasediagnosistheroleofsensors
AT nefelilagopati breathanalysisapromisingtoolfordiseasediagnosistheroleofsensors
AT efstathiosefstathopoulos breathanalysisapromisingtoolfordiseasediagnosistheroleofsensors
AT dimitristsoukalas breathanalysisapromisingtoolfordiseasediagnosistheroleofsensors