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A unique technology platform developed by Breath Diagnostics to quantitatively analyze organic compounds in a single breath to detect lung cancer and other diseases.1
Our highly portable system will be readily available to patients through medical providers.1
In contrast to a Low-Dose CT Scan, OneBreath is a quicker and easier way of lung cancer diagnosis. We are currently enrolling patients for our 2nd generation system Pilot Study.
Breath Collection
Patients provide one complete breath via a unique collection system in less than 30 seconds.
Breath Processing and Analysis
In a simple automated process, the OneBreath™ micro-reactor captures the organic compounds contained in the breath. Once captured, the samples is analyzed in our laboratories.
Get Results
Results will be available within 3-4 business days.
Why OneBreath™?
OneBreath™ provides a safe, convenient, and inexpensive way to identify lung cancer in at risk patients, before they know they have a problem.1
Accurate Results
OneBreath™ detects lung cancer with fewer false positives and higher specificity than a low-dose CT scan.
Accessible
The OneBreath™ system increases access to potentially life-saving lung cancer screenings by being portable enough for use in a physician's office or local pharmacy.
Affordable
The OneBreath™ technology platform demonstrates a lower false positive rate versus CT scans, reducing the number of unnecessary follow-up diagnostic procedures.
Easy to Use
The simplicity of the OneBreath™ system provides the potential to enhance screening compliance due to the fact that only a single breath is required.
Detection of COVID-19 by quantitative analysis of carbonyl compounds in exhaled breath
UHPLC-MS in combination with a MEMS-fabricated silicon microreactor was used to analyze carbonyl compounds in exhaled breath to differentiate COVID-19 positive and negative subjects. The sensitivity increased when modeling variants separately. The overall results are promising for SARS-CoV-2 detection. When all positive (both Alpha and Delta) and all negative samples were used for training a logistic regression algorithm, the model still achieved 90.1% sensitivity, 98.3% specificity and 94.7% accuracy.
Research
June 24, 2024
Analysis of a Broad Range of Carbonyl Metabolites in Exhaled Breath by UHPLC-MS
The combination of a silicon microreactor for the selective capture of carbonyl compounds with UHPLC-MS analysis may provide a quantitative method for the analysis of carbonyls to identify disease markers in exhaled breath.