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title

Comparison of Regression Model and Modified Monod Kinetic Model to Predict the Removal of Ethanol in Trickling Biofilter

Credit to Download: 1 | Page Numbers 5 | Abstract Views: 93
Year: 2019
COI code: JR_JETT-7-1_004
Paper Language: English

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Authors Comparison of Regression Model and Modified Monod Kinetic Model to Predict the Removal of Ethanol in Trickling Biofilter

  Amin Goli - Department of Engineering, Quchan Branch, Islamic Azad University, Quchan, Iran
  susan khosroyar - Department of Engineering, Quchan Branch, Islamic Azad University, Quchan, Iran
  Behroz Vaziri - Department of Engineering, Quchan Branch, Islamic Azad University, Quchan, Iran
  Fatemeh Sadat Dehghani - Department of Medical Nanotechnology, Shiraz University of Medical Sciences, Shiraz, Iran
  Reza Sanaye - Department of Cancer proteomics, Shiraz University of Medical Sciences, Shiraz, Ira
  Mohammad Mohammadi - Department of Medical Nanotechnology, Shiraz University of Medical Sciences, Shiraz, Iran

Abstract:

Ethanol is a toxic compound and a member of volatile organic compounds (VOCs). Ethanol is emitted to the atmosphereby several industries worldwide. Biotrickling filter technology is a well-known technology for removal of VOCs from air. Theaim of this study is to compare two regression and modified monod models to predict the removal of ethanol using abiotrickling filter reactor (BTFR). The data of the previous study on ethanol vapor removal by bio-trickling filter were used fordetermination of rmax and Km. Also by these data, a simple regression model was developed. Eventually, ethanol removalefficiency was predicted by both regression and kinetic models. All results were compared with actual data. Our results showthat regression model could only predict the average of ethanol removal efficiency. However, kinetic model could additionallypredict all changes in ethanol removal efficiency: it has had some good alignment with actual data.

Keywords:

Ethanol, Kinetic coefficient, Modeling, Biotrickling filter, Biodegradation

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COI code: JR_JETT-7-1_004

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Goli, Amin; susan khosroyar; Behroz Vaziri; Fatemeh Sadat Dehghani; Reza Sanaye & Mohammad Mohammadi, 2019, Comparison of Regression Model and Modified Monod Kinetic Model to Predict the Removal of Ethanol in Trickling Biofilter, Journal of Environmental Treatment Techniques 7 (1), https://www.civilica.com/Paper-JR_JETT-JR_JETT-7-1_004.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Goli, Amin; susan khosroyar; Behroz Vaziri; Fatemeh Sadat Dehghani; Reza Sanaye & Mohammad Mohammadi, 2019)
Second and more: (Goli; khosroyar; Vaziri; Dehghani; Sanaye & Mohammadi, 2019)
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Type: Azad University
Paper No.: 3141
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