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Synthesis and Characterization of Supramolecular Colloids
Published on: April 22, 2016
Estimation of colloidal deposition from heterogeneous populations
Jaideep Chatterjee1, Shajahan Abdulkareem, Santosh Kumar Gupta
1Unilever Research - Bangalore Laboratory, 64 Main Road, Whitefield, Bangalore 560066, India. Jaideep.chatterjee@unilever.com
Water Research
|April 23, 2010
Summary
This study investigates colloid filtration in new beds, revealing that heterogeneous colloid deposition can be reasonably estimated using a sum-of-parts model, enabling predictions for complex suspensions.
Area of Science:
- Environmental Science
- Colloid and Surface Science
- Water Treatment
Background:
- Colloid filtration is crucial for water purification.
- Understanding heterogeneous colloid behavior is complex.
- Existing models often assume homogeneous particle populations.
Purpose of the Study:
- To investigate size-heterogeneous colloid filtration in a new bed.
- To develop and validate a model for predicting deposition from heterogeneous colloids.
- To propose a new method for studying heterogeneous colloid filtration.
Main Methods:
- Measuring depth-wise particle-size-distributions and colloid concentrations.
- Estimating deposition rates for distinct heterogeneous population sections.
- Comparing data-based deposition rates with Colloid Filtration Theory (CFT) predictions.
- Utilizing a heterogeneous-colloid-filtration model based on CFT.
Main Results:
- Log C(i)(x) showed linearity in some systems and deviation in others.
- CFT-based and data-based deposition rates agreed at low flow velocities but diverged at higher velocities.
- The sum-of-parts model provided reasonable estimates for heterogeneous colloid deposition.
- A new method for studying heterogeneous colloid filtration was proposed.
Conclusions:
- Heterogeneous colloid deposition can be modeled as the sum of its parts.
- The developed model allows for predictions of colloidal deposition from complex heterogeneous suspensions.
- This research advances the understanding and modeling of colloid filtration processes.
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