1993
DOI: 10.1002/bit.260410503
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Biofiltration of methanol vapor

Abstract: Biofiltration of solvent and fuel vapors may offer a cost-effective way to comply with increasingly strict air emission standards. An important step in the development of this technology is to derive and validate mathematical models of the biofiltration process for predictive and scaleup calculations. For the study of methanol vapor biofiltration, an 8-membered bacterial consortium was obtained from methanol-exposed soil. The bacteria were immobilized on solid support and packed into a 5-cm-diameter, 60-cm-hig… Show more

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Cited by 230 publications
(157 citation statements)
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“…In fact, the overall trend was such that the removal efficiency decreased with the inlet NH 3 level (from 95% at NH 3 = 25 ppm to 67% at NH 3 = 130 ppm) throughout the biofilter. This phenomenon is similar to observations made by other researchers [15][16][17] in studies of the removal of other contaminants (methanol vapor, ketones, and triethylamine, respectively).…”
Section: Ammonia Removal Testssupporting
confidence: 91%
“…In fact, the overall trend was such that the removal efficiency decreased with the inlet NH 3 level (from 95% at NH 3 = 25 ppm to 67% at NH 3 = 130 ppm) throughout the biofilter. This phenomenon is similar to observations made by other researchers [15][16][17] in studies of the removal of other contaminants (methanol vapor, ketones, and triethylamine, respectively).…”
Section: Ammonia Removal Testssupporting
confidence: 91%
“…[7][8][9][10][11][12][13] The concepts of biodegradation and adsorption by solid media have been combined in a process that has been termed biofiltration.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Chung et al, (1996) (Chung et al, 1996;Cha et al, 1999). Traditionally the performance of biofilters has been modeled/predicted using process based models that are based on mass balance principles, simple reaction kinetics and a plug flow of air stream (Ottengraf and Oever, 1983;Shareefdeen et al, 1993;Deshusses et al, 1995;Jin et al, 2006). The main advantages of these process models are that they are based on the underlying physical process and the results obtained generally provide a good understanding of the system.…”
Section: Introductionmentioning
confidence: 99%