Electrochemical breath profiling for early thoracic malignancy screening

Lung cancer remains a leading cause of cancer death globally and affects millions of lives across the globe. Early detection of lung cancer significantly improves survival rates. Screening with low-dose CT scans for high-risk individuals can lead to earlier diagnosis and better treatment outcomes. Breathomics is the systematic analysis of volatile organic compounds (VOCs) in exhaled breath to diagnose diseases and monitor health conditions. This research presents a novel electrochemical biosensor that detects eight VOCs in breath using room temperature ionic liquid (RTIL) technology. The device was tested with 67 patient samples, including 30 with confirmed intrathoracic malignancies. Using lightweight deep neural networks optimized for edge devices, the system effectively distinguished between positive and negative cases. The results were validated using gas chromatography–mass spectrometry. As lung cancer significantly impacts public health, this work represents an important step toward developing affordable, quick, and non-invasive breath analysis for cancer screening. While further clinical validation is needed, this research aims to advance the field of breathomics. • Lung cancer remains a leading cause of cancer death globally and early detection significantly improves survival rates. • Breathomics is the systematic analysis of VOCs in exhaled breath to diagnose diseases and monitor health conditions. • 8 VOC biomarkers are identified as analytes for intrathoracic malignancy stages. • An electrochemical device has been tested with 67 patient samples, including 30 with confirmed intrathoracic malignancies. • Amperometric detection strategy is applied, validated by standard benchtop TD-GC–MS. • Deep learning models are used to train the system to effectively distinguish between positive and negative cases.

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Publication Details

Journal
Sensing and Bio-Sensing Research
Published
2025-06-06
DOI
https://doi.org/10.1016/j.sbsr.2025.100815
Citations
2
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
1.35
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article

Electrochemical breath profiling for early thoracic malignancy screening

Anirban Paul, Kordel France, Ruby Thapa, Muhanned Abu‐Hijleh et al.
2 citations
Sensing and Bio-Sensing Research
Advanced Chemical Sensor Technologies
1.35
article

Electrochemical breath profiling for early thoracic malignancy screening

Anirban Paul, Kordel France, Ruby Thapa, Muhanned Abu‐Hijleh, Rhoda Annoh Gordon, Ovidiu Daescu, Shalini Prasad, Avi Bhatia
article en
2 citations

Abstract

Lung cancer remains a leading cause of cancer death globally and affects millions of lives across the globe. Early detection of lung cancer significantly improves survival rates. Screening with low-dose CT scans for high-risk individuals can lead to earlier diagnosis and better treatment outcomes. Breathomics is the systematic analysis of volatile organic compounds (VOCs) in exhaled breath to diagnose diseases and monitor health conditions. This research presents a novel electrochemical biosensor that detects eight VOCs in breath using room temperature ionic liquid (RTIL) technology. The device was tested with 67 patient samples, including 30 with confirmed intrathoracic malignancies. Using lightweight deep neural networks optimized for edge devices, the system effectively distinguished between positive and negative cases. The results were validated using gas chromatography–mass spectrometry. As lung cancer significantly impacts public health, this work represents an important step toward developing affordable, quick, and non-invasive breath analysis for cancer screening. While further clinical validation is needed, this research aims to advance the field of breathomics. • Lung cancer remains a leading cause of cancer death globally and early detection significantly improves survival rates. • Breathomics is the systematic analysis of VOCs in exhaled breath to diagnose diseases and monitor health conditions. • 8 VOC biomarkers are identified as analytes for intrathoracic malignancy stages. • An electrochemical device has been tested with 67 patient samples, including 30 with confirmed intrathoracic malignancies. • Amperometric detection strategy is applied, validated by standard benchtop TD-GC–MS. • Deep learning models are used to train the system to effectively distinguish between positive and negative cases.

Sensing and Bio-Sensing ResearchVol. 49
The University of Texas at Dallas (US), The University of Texas Southwestern Medical Center (US)
Good health and well-being
Openalex Percentile: Top 20%
Advanced Chemical Sensor Technologies
1.35
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