Literature DB >> 15038541

Characterization of SnO2 ceramic gas sensor for exhaust gas monitoring of SVE process.

Ji-Won Yang1, Hyun-Jeong Cho, Sang-Hyun Lee, Jae-Young Lee.   

Abstract

A Figaro-type gas sensor system was investigated for the monitoring of volatile organic contaminants (VOC) in the exhaust gas from a soil vapor extraction (SVE) process. Benzene, toluene, ethyl benzene and xylene (BTEX), and their mixtures, were tested as representative contaminants. Reasonably good correlation factors >0.98 were obtained between the GC analyses and the sensor responses for each component, and for the total gas concentrations. Although the composition of the exhaust gas from SVE process, as well as the amount of each component, change with time, the sensor can be used to estimate the residual amount of contaminants by measuring the total concentrations in the exhaust gas. The sensor can be utilized as a valuable tool for the monitoring of SVE process by indicating when the operation to remediate a contaminated site should be stopped. The proposed ceramic gas sensor system may be a good alternative to existing methods, because it can satisfy the essential monitoring necessities of SVE processes, and has many advantages over other fully equipped instrumentation, as a cost-effective device, with long-term monitoring stability.

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Year:  2004        PMID: 15038541     DOI: 10.1023/b:emas.0000014500.49791.77

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  1 in total

1.  Cost-effective monitoring for a soil vapor extraction (SVE) system: a simplified modeling and gas sensor test.

Authors:  J W Yang; H J Cho; G Y Choi; S H Lee
Journal:  Environ Monit Assess       Date:  2001-07       Impact factor: 2.513

  1 in total
  2 in total

1.  Mechanism and optimization of pH sensing using SnO2 nanobelt field effect transistors.

Authors:  Yi Cheng; P Xiong; C Steven Yun; G F Strouse; J P Zheng; R S Yang; Z L Wang
Journal:  Nano Lett       Date:  2008-12       Impact factor: 11.189

2.  Selective Detection of Target Volatile Organic Compounds in Contaminated Humid Air Using a Sensor Array with Principal Component Analysis.

Authors:  Toshio Itoh Takafumi Akamatsu; Akihiro Tsuruta; Woosuck Shin
Journal:  Sensors (Basel)       Date:  2017-07-19       Impact factor: 3.576

  2 in total

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