Online monitoring and stable isotope tracing of cancer associated volatiles in murine model captures tumor associated markers in vivo
In conclusion, our SESI-HRMS based analysis of pre-clinical model systematically explores the volatile signatures of lung cancer, and provides a novel non-invasive platform that possess great potential for the real-time, confident, and sensitive detection and monitoring of lung cancer.
Authors
- Hyein Jung
- Jiangjiang Zhu (ORCID: https://orcid.org/0000-0002-4548-8949)
- Fouad Choueiry
- Andrew Gold
- Rui Xu (ORCID: https://orcid.org/0000-0001-6428-846X)
Institutions
- The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute (US)
- The Ohio State University (US)
Publication Details
- Journal
- Analytica Chimica Acta
- Published
- 2025-02-20
- DOI
- https://doi.org/10.1016/j.aca.2025.343826
- Citations
- 1
- Primary Topic
- Advanced Chemical Sensor Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.67
Funders
- Ohio State University
- National Institutes of Health
- National Institute of General Medical Sciences