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Study of Cr (III) biosorption in a fixed-bed column
M Calero1, F Hernáinz, G Blázquez
1Department of Chemical Engineering University of Granada, 18071 Granada, Spain. mcaleroh@ugr.es
Olive stone effectively removes chromium (III) from water in a continuous system. This low-cost biosorbent shows promising results, with removal efficiency influenced by flow rate and bed depth.
Area of Science:
- Environmental Science
- Materials Science
- Chemical Engineering
Background:
- Chromium (III) is a toxic heavy metal pollutant found in industrial wastewater.
- Conventional treatment methods for chromium removal can be costly and inefficient.
- Developing sustainable and low-cost biosorbents is crucial for effective wastewater remediation.
Purpose of the Study:
- To evaluate the efficacy of olive stone as a biosorbent for chromium (III) removal from aqueous solutions.
- To investigate the influence of operational parameters on the biosorption process in a continuous flow system.
- To model the breakthrough curve using established kinetic models.
Main Methods:
- Fixed-bed column experiments were conducted to assess chromium (III) removal using olive stone.
- Parameters such as flow rate, bed depth, and inlet chromium concentration were varied.
- Breakthrough curve data were analyzed using Adams-Bohart, Thomas, Yoon and Nelson, and Dose-Response models.
- pH evolution during the biosorption process was monitored.
Main Results:
- Breakthrough and saturation times increased with decreased flow rate and increased bed depth.
- Olive stone sorption capacity increased with inlet chromium (III) concentration up to 0.800 mg/g.
- The Adams-Bohart and Dose-Response models provided satisfactory predictions of the breakthrough curve.
- The Dose-Response model best represented the entire breakthrough curve across various concentrations.
Conclusions:
- Olive stone is a viable, low-cost biosorbent for chromium (III) removal in a continuous system.
- Operational parameters significantly impact the efficiency and kinetics of the biosorption process.
- Mathematical modeling aids in understanding and predicting the performance of olive stone biosorbents for wastewater treatment.
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