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

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.

Ethanol, Kinetic coefficient, Modeling, Biotrickling filter, Biodegradation