4 May 2012 Analytical determination and detection of individual odor signatures
Author Affiliations +
Despite the fact that therapeutic approaches and diagnostic capabilities have made tremendous advances in the past few decades, the associated costs with these treatments continue to rise. This fact, coupled with a rapidly aging population, threatens to cripple our nation's capability to deliver quality healthcare at reasonable and affordable price points. The research community must therefore look to implementing transformational approaches that revolutionize both the way we diagnose and treat patients. Emerging multi-disciplinary research in the fields of molecular biology, systems biology, and solid-state sensing is poised to make such a contribution. Here we highlight key critical insights in the field of human derived volatile organic compound (VOC) signatures and the potential for non-invasive diagnostics. With the aim of developing future VOC-based diagnostics, we identify some critical gaps in our knowledge of how these often complex signatures are influenced by genetics, physiological state, and population variance. Also, we highlight a few canine and solid-state sensing strategies to demonstrate that VOC-based breath diagnostics are feasible and we suggest a bio-inspired approach for optimizing sensor architectures. VOC based diagnostics should drastically enhance early detection of multiple diseases, increase the time for therapeutic intervention, provide the capability to monitor in real-time the efficacy of therapeutic treatments, provide the context of emerging pathological outbreaks across participating populations, and potentially decrease mortality associated with many diseases by orders of magnitude.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ryan M. Kramer, Ryan M. Kramer, Claude C. Grigsby, Claude C. Grigsby, } "Analytical determination and detection of individual odor signatures", Proc. SPIE 8371, Sensing Technologies for Global Health, Military Medicine, Disaster Response, and Environmental Monitoring II; and Biometric Technology for Human Identification IX, 83711A (4 May 2012); doi: 10.1117/12.919921; https://doi.org/10.1117/12.919921

Back to Top