Team:University College London/Modelling/SystemModel

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=Modelling=
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= System Model =
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== Our Models ==
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The [https://2012.igem.org/Team:University_College_London/Modelling/OceanModel ocean model] and [https://2012.igem.org/Team:University_College_London/Modelling/DensityPredictions density predictions] shown here aim to predict how our system as a whole might function in the ocean.  The 'bigger picture' presented by these models will guide us in fine-tuning each individual module.  However, the bulk of our modelling looks at the performance of each module as a separate unit.  For these models, please see the 'Modelling' tab on the individual module pages, which starts  [[Team:University_College_London/Module_1/Modelling| here]] with our cell model for detection.
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== 1.  Ocean Model ==
 
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The fundamental idea behind our ocean model is the need to understand the movements of microplastics in the North Pacific ‘garbage patch’,  so that we might decide how best our Plastic Republic bacteria should be used.  Several studies have looked at large scale-movements of marine debris, both in the North Pacific gyre (Kubota 1994 and 2005; Liang, Wei, Zhang, and Huang 2010) and in the wider ocean (Lebreton, Greer, and Borrero 2012; Maximenko, Hafner, and Niiler 2012). We know that plastic debris accumulates in five subtropical gyres (in the North Pacific, the South Pacific, the North Atlantic, the South Atlantic, and the Indian Ocean) and that once in the gyre plastics will circulate for between 4-5 years (McNally, Patzert, Kirwan, and Vastano 1983). Our model, therefore, was written to show movements of microplastics at a smaller scale.
 
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The model shows the microplastics found in a 10 000 m^2 area of water down to a depth of 25m, and their movements over a 12-hour period.  These movements are predicted from data on currents taken from Port Allen in Hawaii, using a random weight to take account of differing speeds of movement due to particle density. We used the estimate of 0.116 microplastic particles m^3 (Goldstein, Rosenberg & Cheng, 2012), which for a model of this size means looking at around 29000 particles. An important function of our model is to tell us, as the simulation is running, how often collisions occur between the microplastic particles. The model estimates that significant numbers of collisions will occur only for particles larger than around 10cm^3 – yet microplastics are defined as plastic debris less than 1 mm^3.  This tells us that our aggregation strategy will require further thought if we hope to aggregate particles through collision. 
 
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The model was written in MATLAB  and the currents data on which the model is based was taken from the Hawaii 2011 Current Observation Project of the National Oceanic and Atmospheric Agency of the USA (www.noaa.gov).  We would like to thank Miriam Goldstein of the Scripps Institution of Oceanography for her help in finding gyre data.
 
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Quick links to the models:
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References:
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[https://2012.igem.org/Team:University_College_London/Module_1/Modelling 1. Detection]
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Goldstein, M., Rosenberg, M., Cheng, L. (2012) Increased oceanic microplastic debris enhances oviposition in an endemic pelagic insect, Biology Letters 10.1098
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Kubota, M. (1994) A mechanism for the accumulation of floating marine debris north of Hawaii, Journal of Physical Oceanography
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[https://2012.igem.org/Team:University_College_London/Module_2/Modelling 2. Aggregation]
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Kubota, M. (2005) Pleading for the use of biodegradable polymers in favor of marine environments and to avoid an asbestos-like problem for the future, Applied Microbiology and Biotechnology 67; 469-476
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[https://2012.igem.org/Team:University_College_London/Module_3/Modelling 3. Degradation]
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Lebreton, L C-M., Greer, S. D., Borrero, J. C. (2012) Numerical Modelling of Floating Debris in the World’s Oceans, Marine Pollution Bulletin 64; 653-661
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[https://2012.igem.org/Team:University_College_London/Module_4/Modelling 4. Buoyancy]
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Liang, H., Wei, H., Zhang, T., and Huang, J. (2010) The Simulation of Marine Plastic Debris Distribution Based on Cellular Automata, 2010 International Conference on Computer Application and System Modelling
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[https://2012.igem.org/Team:University_College_London/Module_5/Modelling 5. Salt Tolerance]
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Maximenko, N., Hafner, J., Niiler, P. (2012) Pathways of marine debris derived from trajectories of Lagrangian drifters, Marine Pollution Bulletin 65; 51-62
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[https://2012.igem.org/Team:University_College_London/Module_6/Modelling 6. Containment]
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McNally, G., Patzert W., Kirwan Jr, A., Vastano, A. (1983) The Near-Surface Circulation of the North Pacific Using Satellite Tracked Drifting Buoys, Journal Of Geophysical Research 88; 7507-7518
 
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== Density Model ==
 
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'So how many <i>E. coli</i> would you need, then, to make Plastic Republic work?'.  This was the question, raised during a presentation of our project to UCL Engineering, that made us realise the need for the density model.  This second predictive model aimed to find the mass of bacteria that would be needed to perform each of the functions of our Plastic Republic system.
 
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Due to time constraints and lack of experimental results, our density model focuses on degradation rather than the more complex aggregation pathway.  We wanted to find the mass of bacteria required to degrade the plastic in a cubic metre of seawater, using the earlier estimate of 0.116 microplastic particles per m<sup>3</sup>.
 
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Our experimental results show that the laccase produced by our bacteria has a specific activity of 0.0006 mol/min/mg.  he amount of laccase required to degrade this much polyethylene is given by
 
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Latest revision as of 22:15, 26 September 2012

Modelling

Our Models | Ocean Model | Density Predictions

Our Models

The ocean model and density predictions shown here aim to predict how our system as a whole might function in the ocean. The 'bigger picture' presented by these models will guide us in fine-tuning each individual module. However, the bulk of our modelling looks at the performance of each module as a separate unit. For these models, please see the 'Modelling' tab on the individual module pages, which starts here with our cell model for detection.


Quick links to the models:

1. Detection

2. Aggregation

3. Degradation

4. Buoyancy

5. Salt Tolerance

6. Containment