Electronic nose for space program applications.

Sens Actuators B Chem

Applied Chemistry Laboratory, NASA Kennedy Space Center, Orlando, FL 32899, USA.

Published: August 2003

AI Article Synopsis

  • Monitoring air contaminants aboard the shuttle and International Space Station is crucial for astronaut safety and equipment reliability, focusing on organic pollutants, hypergolic propellant contaminants, and pre-combustion vapors from electrical fires.
  • NASA's Kennedy Space Center is evaluating different electronic noses (E-noses) for their sensitivity to these contaminants, finding that only two models appropriately detect hypergolic fuels, while several commercial models can identify common organic vapors.
  • Initial testing has shown that E-noses can identify vapors with 70-90% accuracy, which can improve to 90-100% with further software enhancements, laying the groundwork for future developments in their performance.

Article Abstract

The ability to monitor air contaminants in the shuttle and the International Space Station is important to ensure the health and safety of astronauts, and equipment integrity. Three specific space applications have been identified that would benefit from a chemical monitor: (a) organic contaminants in space cabin air; (b) hypergolic propellant contaminants in the shuttle airlock; (c) pre-combustion signature vapors from electrical fires. NASA at Kennedy Space Center (KSC) is assessing several commercial and developing electronic noses (E-noses) for these applications. A short series of tests identified those E-noses that exhibited sufficient sensitivity to the vapors of interest. Only two E-noses exhibited sufficient sensitivity for hypergolic fuels at the required levels, while several commercial E-noses showed sufficient sensitivity of common organic vapors. These E-noses were subjected to further tests to assess their ability to identify vapors. Development and testing of E-nose models using vendor supplied software packages correctly identified vapors with an accuracy of 70-90%. In-house software improvements increased the identification rates between 90 and 100%. Further software enhancements are under development. Details on the experimental setup, test protocols, and results on E-nose performance are presented in this paper along with special emphasis on specific software enhancements.

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Source
http://dx.doi.org/10.1016/s0925-4005(03)00338-1DOI Listing

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