Modular sampling and analysis techniques for the real-time analysis of human breath

Matthias Frank, George Farquar, Kristl Adams, Michael Bogan, Audrey Martin, Henry Benner, Christopher Spadaccini, Paul Steele, Shankar Sankaran, Bryan Loyola, Josh Morgan, Cristina E Davis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

At LLNL and UC Davis, we are developing several techniques for the real-time sampling and analysis of trace gases, aerosols and exhaled breath that could be useful for a modular, integrated system for breath analysis. Those techniques include single-particle bioaerosol mass spectrometry (BAMS) for the analysis of exhaled aerosol particles or droplets as well as breath samplers integrated with gas chromatography mass spectrometry (GC-MS) or MEMSbased differential mobility spectrometry (DMS). We describe these techniques and present recent data obtained from human breath or breath condensate, in particular, addressing the question of how environmental exposure influences the composition of breath.

Original languageEnglish (US)
Title of host publicationProceedings of IEEE Sensors
Pages10-13
Number of pages4
DOIs
StatePublished - 2007
Event6th IEEE Conference on SENSORS, IEEE SENSORS 2007 - Atlanta, GA, United States
Duration: Oct 28 2007Oct 31 2007

Other

Other6th IEEE Conference on SENSORS, IEEE SENSORS 2007
CountryUnited States
CityAtlanta, GA
Period10/28/0710/31/07

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Modular sampling and analysis techniques for the real-time analysis of human breath'. Together they form a unique fingerprint.

  • Cite this

    Frank, M., Farquar, G., Adams, K., Bogan, M., Martin, A., Benner, H., Spadaccini, C., Steele, P., Sankaran, S., Loyola, B., Morgan, J., & Davis, C. E. (2007). Modular sampling and analysis techniques for the real-time analysis of human breath. In Proceedings of IEEE Sensors (pp. 10-13). [4388322] https://doi.org/10.1109/ICSENS.2007.4388322