First and Last Name/s of Presenters

Sarah AanonsenFollow

Mentor/s

Dr. Penny Snetsinger & Dr. Eid Alkahtib

Location

University Commons

Start Day/Time

4-21-2017 1:00 PM

End Day/Time

4-21-2017 3:00 PM

Abstract

Waste from textile plants contains high concentrations of textile dyes, which may be harmful to the environment. Activated carbon can be used to remove the dyes from such wastewater. Dyes can adsorb onto the activated carbon, making the wastewater safer for the environment and health of those drinking it. This experiment researched the factors affecting adsorbance onto activated carbon and what conditions work best in eliminating the dye. The aim for this experiment is to develop a mathematical model to predict the adsorbance of dye onto activated carbon. The factors studied affecting this include types of dye, salinity, pH, type of carbon, and time the mixture is in contact with the carbon. Using factorial analysis, two different dyes, two salinities, three pH’s, and three different types of carbon were tested under three different time spans.

College and Major available

Chemistry

Document Type

Poster

Creative Commons License

Creative Commons Attribution-Noncommercial-Share Alike 3.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

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Apr 21st, 1:00 PM Apr 21st, 3:00 PM

Multi-Regression Factors Influencing Textile Dye Adsorption on Activated Carbon

University Commons

Waste from textile plants contains high concentrations of textile dyes, which may be harmful to the environment. Activated carbon can be used to remove the dyes from such wastewater. Dyes can adsorb onto the activated carbon, making the wastewater safer for the environment and health of those drinking it. This experiment researched the factors affecting adsorbance onto activated carbon and what conditions work best in eliminating the dye. The aim for this experiment is to develop a mathematical model to predict the adsorbance of dye onto activated carbon. The factors studied affecting this include types of dye, salinity, pH, type of carbon, and time the mixture is in contact with the carbon. Using factorial analysis, two different dyes, two salinities, three pH’s, and three different types of carbon were tested under three different time spans.

 

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