ClinicalTrials.gov
public full text
Public Domain
Diagnosis of Lung Cancer From Exhaled Breath With Silicon Biophotonic Device
The overall objective of this proposal is to develop a non-invasive, inexpensive and accurate device that detects VOCs in exhaled breath for lung cancer screening. Toward this goal, the team will design and fabricate a biophotonic platform consists of arrays of silicon micro-ring resonator sensors coated with polymers with different organic functionalities, in which each sensor is widely responsive to a variety of VOCs for the detection of lung cancer by means of breath testing. The team will identify signature VOCs as lung cancer biomarkers by comparison VOC contents between alveolar gas that directly sampled from the nodule or mass and exhaled breath using gas chromatography/ mass spectrometry. The specific aims of this proposal are as followings: Aim 1: To develop a biophotonic platform for the detection of VOCs Aim 2: To achieve multiplex detection of VOCs with high sensitivity and specificity using a novel biophotonic device. Aim 3: To evaluate the device as a lung cancer screening tool by testing both healthy and lung cancer breath samples
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Detection of Colorectal Cancer in Patients With a Positive Fecal Immunochemical Test Using an Electronic Nose Device (AeoNoseTM)#884292
- Using Sensors to Measure Drug Concentrations in Exhaled Breath#839275
- Determination and Validation of a Multi-analyte Assay for Lung Cancer Screening#887899
- Breath Analysis in Patients With Suspected Sarcoidosis: The VOCs-IS Study#1170522
- Volatil Organic Compounds in Exhaled Air and Sweat After Thoracic Surgery for Carcinological Resection#851132
Record · ID 1033039
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive