Nanosensors Based on Breathomics for Human Disease Diagnosis: a New Frontier in Personalized Healthcare

The rapid rise of the world’s population has increased the need for advances in early illness detection, including point-of-care and minimally invasive diagnostic techniques. Thus, breathomic sensors that identify volatile organic compounds (VOCs) in expelled breath as biomarkers hold great promise....

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Vydané v:BioNanoScience Ročník 15; číslo 2; s. 268
Hlavní autori: Taha, Bakr Ahmed, Addie, Ali J., Haider, Adawiya J., Arsad, Norhana
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Springer US 01.06.2025
Springer Nature B.V
Predmet:
Artificial intelligence
Bioinformatics
Biological and Medical Physics
Biomarkers
Biomaterials
Biophysics
Breath tests
Circuits and Systems
Cloud computing
Diagnosis
Engineering
Health care
Health services
Innovations
Internet of Things
Machine learning
Medical diagnosis
Metabolites
Nanomaterials
Nanosensors
Nanotechnology
Review
Sensors
Smart sensors
Sustainable development
VOCs
Volatile organic compounds
Nanoparticles
VOCs
POT diagnostics
Human disease
Nanosensors
Breathomics
ISSN:2191-1630, 2191-1649
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Popis
Shrnutí:The rapid rise of the world’s population has increased the need for advances in early illness detection, including point-of-care and minimally invasive diagnostic techniques. Thus, breathomic sensors that identify volatile organic compounds (VOCs) in expelled breath as biomarkers hold great promise. Nevertheless, some important gaps in present research prevent their general use in clinical practice even with their promise. In addition, there are scaling issues that limit the extent to which they can be manufactured and integrated into healthcare systems, as well as the absence of large-scale clinical validation to establish their effectiveness and dependability across a wide range of populations. Moreover, the lack of consistency in data collection, processing, and interpretation slows their implementation further. This review provides an in-depth analysis of the current state of chemiresistive breath VOC-detecting sensors for disease diagnosis, discussing the challenges, alternative strategies, and potential for commercial development. It explores the biological origins of biomarkers, various sensing modalities and the mechanisms involved in VOC detection through breathomics. Additionally, the review highlights the potential of these sensors to transform non-invasive, early-stage disease screening by integrating advanced technologies such as nanotechnology, artificial intelligence, machine learning, bioinformatics, the Internet of Things (IoT), and cloud computing into modern healthcare diagnostics. These next-generation smart sensors hold significant promise for revolutionizing medical care and contributing to achieving sustainable development goals.
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ISSN:2191-1630
2191-1649
DOI:10.1007/s12668-025-01876-9