Paper
4 March 2004 Remote sensing of microbial volatile organic compounds with a bioluminescent bioreporter integrated circuit
Steven A. Ripp, Kathleen A. Daumer, Jay L. Garland, Michael L. Simpson, Gary S. Sayler
Author Affiliations +
Proceedings Volume 5270, Environmental Monitoring and Remediation III; (2004) https://doi.org/10.1117/12.516180
Event: Optical Technologies for Industrial, Environmental, and Biological Sensing, 2003, Providence, RI, United States
Abstract
As a means towards advanced, early-warning detection of microbial growth in enclosed structures, we have constructed a bioluminescent bioreporter for the detection of the microbial volatile organic compound (MVOC) p-cymene. MVOCs are produced as metabolic by-products of bacteria and fungi and are detectable before any visible signs of microbial growth appear, thereby serving as very early indicators of potential biocontamination problems. The bioreporter, designated Pseudomonas putida UT93, contains a Vibrio fischeri luxCDABE gene fusion to a p-cymene/p-cumate inducible promoter. Exposure of strain UT93 to p-cymene from approximately 0.02 to 850 ppm produced self-generated bioluminescence in less than 1.5 hours. The bioreporter was also interfaced with an integrated circuit microluminometer to create a miniaturized hybrid sensor for remote monitoring of p-cymene signatures. This bioluminescent bioreporter integrated circuit (BBIC) device was capable of detecting fungal presence within approximately 3.5 hours of initial exposure to Penicillium roqueforti.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Steven A. Ripp, Kathleen A. Daumer, Jay L. Garland, Michael L. Simpson, and Gary S. Sayler "Remote sensing of microbial volatile organic compounds with a bioluminescent bioreporter integrated circuit", Proc. SPIE 5270, Environmental Monitoring and Remediation III, (4 March 2004); https://doi.org/10.1117/12.516180
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KEYWORDS
Integrated circuits

Bioluminescence

Remote sensing

Sensors

Fungi

Microorganisms

Bacteria

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