Literature DB >> 15875356

Monitoring space shuttle air quality using the Jet Propulsion Laboratory electronic nose.

Margaret Amy Ryan1, Hanying Zhou, Martin G Buehler, Kenneth S Manatt, Victoria S Mowrey, Shannon P Jackson, Adam K Kisor, Abhijit V Shevade, Margie L Homer.   

Abstract

A miniature electronic nose (ENose) has been designed and built at the Jet Propulsion Laboratory (JPL), Pasadena, CA, and was designed to detect, identify, and quantify ten common contaminants and relative humidity changes. The sensing array includes 32 sensing films made from polymer carbon-black composites. Event identification and quantification were done using the Levenberg-Marquart nonlinear least squares method. After successful ground training, this ENose was used in a demonstration experiment aboard STS-95 (October-November, 1998), in which the ENose was operated continuously for six days and recorded the sensors' response to the air in the mid-deck. Air samples were collected daily and analyzed independently after the flight. Changes in shuttle-cabin humidity were detected and quantified by the JPL ENose; neither the ENose nor the air samples detected any of the contaminants on the target list. The device is microgravity insensitive.

Entities:  

Keywords:  NASA Center JPL; NASA Discipline Life Sciences Technologies

Mesh:

Substances:

Year:  2004        PMID: 15875356     DOI: 10.1109/jsen.2004.827275

Source DB:  PubMed          Journal:  IEEE Sens J        ISSN: 1530-437X            Impact factor:   3.301


  8 in total

1.  Predicting odor pleasantness with an electronic nose.

Authors:  Rafi Haddad; Abebe Medhanie; Yehudah Roth; David Harel; Noam Sobel
Journal:  PLoS Comput Biol       Date:  2010-04-15       Impact factor: 4.475

2.  A local weighted nearest neighbor algorithm and a weighted and constrained least-squared method for mixed odor analysis by electronic nose systems.

Authors:  Kea-Tiong Tang; Yi-Shan Lin; Jyuo-Min Shyu
Journal:  Sensors (Basel)       Date:  2010-11-18       Impact factor: 3.576

Review 3.  Odour detection methods: olfactometry and chemical sensors.

Authors:  Magda Brattoli; Gianluigi de Gennaro; Valentina de Pinto; Annamaria Demarinis Loiotile; Sara Lovascio; Michele Penza
Journal:  Sensors (Basel)       Date:  2011-05-16       Impact factor: 3.576

4.  Open access integrated therapeutic and diagnostic platforms for personalized cardiovascular medicine.

Authors:  Patrick A Gladding; Andrew Cave; Mehran Zareian; Kevin Smith; Jagir Hussan; Peter Hunter; Folarin Erogbogbo; Zoraida Aguilar; David S Martin; Eugene Chan; Margie L Homer; Abhijit V Shevade; Mohammad Kassemi; James D Thomas; Todd T Schlegel
Journal:  J Pers Med       Date:  2013-08-21

5.  A Gas Mixture Prediction Model Based on the Dynamic Response of a Metal-Oxide Sensor.

Authors:  Wei-Chih Wen; Ting-I Chou; Kea-Tiong Tang
Journal:  Micromachines (Basel)       Date:  2019-09-11       Impact factor: 2.891

6.  A facile way to construct sensor array library via supramolecular chemistry for discriminating complex systems.

Authors:  Jia-Hong Tian; Xin-Yue Hu; Zong-Ying Hu; Han-Wen Tian; Juan-Juan Li; Yu-Chen Pan; Hua-Bin Li; Dong-Sheng Guo
Journal:  Nat Commun       Date:  2022-07-25       Impact factor: 17.694

7.  Rapid and Non-Destructive Detection of Compression Damage of Yellow Peach Using an Electronic Nose and Chemometrics.

Authors:  Xiangzheng Yang; Jiahui Chen; Lianwen Jia; Wangqing Yu; Da Wang; Wenwen Wei; Shaojia Li; Shiyi Tian; Di Wu
Journal:  Sensors (Basel)       Date:  2020-03-27       Impact factor: 3.576

8.  Assessment of Smoke Contamination in Grapevine Berries and Taint in Wines Due to Bushfires Using a Low-Cost E-Nose and an Artificial Intelligence Approach.

Authors:  Sigfredo Fuentes; Vasiliki Summerson; Claudia Gonzalez Viejo; Eden Tongson; Nir Lipovetzky; Kerry L Wilkinson; Colleen Szeto; Ranjith R Unnithan
Journal:  Sensors (Basel)       Date:  2020-09-08       Impact factor: 3.576

  8 in total

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