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Revision as of 08:52, 24 October 2017

X

Project
Experiments
Modeling
Prototype
Human Practices
Safety
About Us
Attributions

Project

Experiment

Modeling

Prototype

Human Practice

Biosafety

About Us

Attributions

Home

Modeling

Computational Biology provides us insight on how to apply experimental data to real world applications!

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MODELING

Our model aims to facilitate the implementation of our proteorhodopsin (PR)-expressing bacteria and biofilm prototype in wastewater treatment plants (WWTPs). Using variables which are specific to any WWTP (such as flow rate and water retention time in each tank), we can determine the amount of bacteria or surface area of biofilm needed to reduce nanoparticle concentration in the treated effluent.

INTRODUCTION

Our goal is to remove as many NPs as possible from wastewater systems to minimize damage to the environment and our health. Due to the sheer variety of manufactured NPs and the significant chemical differences between them, we looked for common properties across different types of NPs. Most industrially produced NPs are coated with capping agents to prevent aggregation (ref). We specifically target citrate, the most common NP capping agent (Levard et al. 2012).

PROTEORHODOPSIN

Proteorhodopsin and citrate binding modeled as a ligand-receptor interaction

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Results of Our Model

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Finite-Difference Method (FDM) Explanation

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BIOFILM

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Evaluating the trapping rate through the change in substrate concentration and volumetric flow rate

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Determining the significance of different factors

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Surface Area

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Biofilm time trial results, finding average trapping rate (per SA)

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Calculator

Influent (Initial) NP Concentration in WWTP (umols/cm3)
Targeted Effluent (Initial) NP Concentration in WWTP (umols/cm3)
Volume of water in clarifier tank of WWTP (L)
Vertical velocity of water making contact with the biofilm (cm/minutes)
Time of contact between NP contaminated water and our biofilm construct (minutes)

cm2 of biofilm needed for clean up:

REFERENCES

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