Difference between revisions of "Team:Pretoria UP/Model"

 
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<title>WATTS-APTAMER - UP_PRETORIA iGEM</title>
 
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<div class="wrapper">
 
<div class="wrapper">
 
<div class="section section-we-do-2" id="workflow2">
 
<div class="section section-we-do-2" id="workflow2">
<div class="container">
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<div class="container">
<div class="row">
+
<div class="row">
<div class="title">
+
<div class="title"><br><br><br>
<p class="h2WM">Simulation Model</p>
+
<p class = "h2WM">Simulation Model</p>
<p>  
+
</div>
 +
 +
<div class="col-md-12">
 +
<p>A simulation model of a PBEC (photo-bioelectrochemical cell) was constructed using AnyLogic. It is to be used for illustrational purposes.
 +
<br><br>AnyLogic is a simulation modelling tool that supports multiple simulation methods such as system dynamics, discrete event and agent based modelling. AnyLogic consists of a graphical modelling language working with Java code extensions.
 +
</p>
 +
<br>
 +
<p>Click on the link below to run the simulation model in your browser (Note: Java is required)  </p>
 +
 
 +
<div align="center">
 +
<table cellpadding="0" cellspacing="0" border="0">
 +
<tr>
 +
<td colspan="2">
 +
<a href="http://www.runthemodel.com/models/3101/" target="_blank">
 +
<img border="0" alt="Simulation model WattsAptamer: Photo-bioelectrochemical cell created with AnyLogic - simulation software / Synthetic Biology" src="http://www.runthemodel.com/upload/resize_cache/iblock/1da/320_220_1/1da4ed192b4ea32798e214f1957f8bff.png"></a></td></tr><tr><td style="padding-right:10px; padding-top: 2px;" valign="top"><a target="_blank" href="http://www.runthemodel.com/models/run.php?id=3101"><img alt="Run the model" src="http://www.runthemodel.com/img/runthemodel_button.png" border="0">
 +
</a>
 +
</td>
 +
<td align="right">
 +
<a href="http://anylogic.com" target="_blank">
 +
Developed with
 +
<br>simulation software AnyLogic
 +
</a>
 +
</td>
 +
</tr>
 +
</table>
 +
</div>
 +
 +
<br><p> If your browser doesn't support Java, see the illustration of the model in action below:</p>
 +
<p style="text-align:center">
 +
<img style="width:50%" src="https://static.igem.org/mediawiki/2016/e/eb/T--Pretoria_UP--Newmodel.gif">
 +
</p>
 +
<br><br>
 +
 
 +
<p><b>&quot;Black box&quot; strategy</b>
 +
</p>
 +
<p>In order to reduce the complexity of the simulation model, a “black box” strategy was followed. A “black box model” requires specific information as input where after the system utilizes pre-programmed logic to return output to the user. Many “black box models” can be used which uses each other’s output (Investopedia, 2016). Making use of a “black box model” ensured that functional areas relevant to the proposed model were isolated without neglecting variability, as a result of the influence of other parameters.
 +
</p>
 +
<div align="center">
 +
<img style="max-width:50%" src="https://static.igem.org/mediawiki/2016/8/82/T--Pretoria_UP--Simulation_Model_1.jpg">
 +
<br>
 +
<br>
 +
<p style="font-size:14px !important;text-align:center;">Figure 1: A simple “black box” model
 
</p>
 
</p>
 
</div>
 
</div>
<div class="col-md-12">
+
<br>
<p>A simulation model was constructed of a PBEC (photo-bioelectrochemical cell) using AnyLogic. It is to be used for illustrational purposes.  
+
<p>The first “black box” to be addressed relates to the influence of the material type used for the casing of the battery. Perspex and glass were considered as possibilities. Absorption properties of material influence transmitted light. This will in return affect the light reaching the attached photosystems. Perspex of 4.5 mm thick has a solar light transmittance of 37% and visible light transmittance of 33%. Glass has a solar transmittance of 90% and visible light transmittance of 91% (Altuglas International, 2016).
<br><br>AnyLogic is a simulation modeling tool that supports multiple simulation methods such as system dynamics, discrete event and agent based modeling. AnyLogic consists of a graphical modeling language working with Java code extensions.
+
<br><br>A changed light intensity
 +
<math>(&mu; mole photons.m<sup>&minus;2</sup>.s<sup>&minus;1</sup>)
 +
</math>
 +
is obtained as an output as seen in Figure 2 below.
 +
</p>
 +
<div align="center">
 +
<img style="max-width:75%" src="https://static.igem.org/mediawiki/2016/2/20/T--Pretoria_UP--Simulation_Model_2.jpg">
 +
<br>
 +
<p style="font-size:14px !important;text-align:center;">Figure 2: The first “black box”
 +
</div>
 +
</p>
 +
<br>
 +
<p><b>The second &quot;black box&quot;</b>
 +
</p>
 +
<p>The second “black box” in the model represents the process of photosynthesis occurring in photosystems within the attached thylakoid membranes.
 +
<br><br>Photosynthetic electron transfer’s relative proton to electron stoichiometries (H+/e- ratios) was obtained from living tobacco plant leaves under steady-state illumination. Electron transfer fluxes as well as turnover rates of linear electron transfer through the cytochrome (cyt) b6f complex were estimated (Colette A. Sacksteder, 2000). In Figure 3, fluorescence yields and electron flux of photosystem II is plotted. Yields from fluorescence during saturation pulses,
 +
<math><i>F'</i><sub>M</sub>
 +
</math>
 +
(closed squares) and yields from fluorescence in the steady-state,
 +
<math><i>F</i><sub>s</sub>
 +
</math>>
 +
(open circles), were obtained at varying light intensities. Photosystem II and associated light-harvesting complexes’
 +
<math>(<i>F</i><sub>V</sub>/<i>F'</i><sub>M</sub> or &Phi;<sub>II</sub>, open diamonds)
 +
</math>
 +
quantum yield and an estimate of the electron flux of photosystem II
 +
<math>(<i>i</i>&sdot;&Phi;<sub>II</sub>)
 +
</math>
 +
were calculated, as described in the above mentioned report.
 +
</p>
 +
<br>
 +
<div align="center">
 +
<img style="max-width:75%" src="https://static.igem.org/mediawiki/2016/1/17/T--Pretoria_UP--Simulation_Model_3.jpg">
 +
<br>
 +
<br>
 +
<p style="font-size:14px !important;text-align:center;">Figure 3: Photosystem II electron flux and various fluorescence yields as a function of light intensity
 
</p>
 
</p>
<p><b>&quot;Black box&quot; strategy</b>
+
 +
</div>
 +
<br>
 +
<p>The estimate of electron flux
 +
<math>(<i>i</i>&sdot;&Phi;<sub>II</sub>)
 +
</math>
 +
(open diamonds) is of importance in describing what happens in the second “black box” of this simulation model. A line of best fit was retrieved from the information in Figure 3 and transformed to a polynomial function plotted in Figure 3, described by the following equation:
 +
</p>
 +
<p style="text-align:center;">
 +
<math>f(x) = &minus;2 &times; 10<sup>&minus;4</sup>x<sup>2</sup> + 0.5938x + 13.837
 +
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[1]
 +
</math>
 +
</p>
 +
<div align="center">
 +
<img style="max-width:75%" src="https://static.igem.org/mediawiki/2016/b/b5/T--Pretoria_UP--Simulation_Model_4.jpg">
 +
<br>
 +
<p style="font-size:14px !important;text-align:center;">Figure 4: Electron flux of photosystem II as a function of light intensity
 
</p>
 
</p>
<p>In order to reduce the complexity of the simulation model, a “black box” strategy was followed. A “black box model” requires specific information as input where after the system utilizes pre-programmed logic to return output to the user. Many “black box models” can be used which uses each other’s output (Investopedia, 2016). Making use of a “black box model” ensured that functional areas relevant to the proposed model were isolated without neglecting variability, as a result of the influence of other parameters.
+
</div>
 +
<br>
 +
<p>The above figure describes the electron flux obtained from a single photosystem II. There is a single photosystem II inside each
 +
<math>7.5 &times; 10<sup>&minus;9</sup> m
 +
</math>
 +
thick thylakoid (Kirschner Lab, 2001).
 +
<br><br>This was used to calculate the quantity of photosystems II possibly located on the surface area of the graphene electrode.
 +
 +
<div align="center">
 +
<br><br><img style="max-width:75%" src="https://static.igem.org/mediawiki/2016/b/b3/T--Pretoria_UP--Simulation_Model_5.jpg">
 +
<br>
 +
<p style="font-size:14px !important;text-align:center;">Figure 5: The second "black box"
 
</p>
 
</p>
<img>
+
</div>
<p><b>The first &quot;black box&quot;</b>
+
<br>As seen in the above Figure 5, light intensity
</p>
+
<math>(&mu; mole photons m<sup>&minus;2</sup>s<sup>&minus;1</sup>)
<p>The first “black box” to be addressed relates to the influence of the material type used for the casing of the battery. Perspex and glass were considered as possibilities. Absorption properties of material influence transmitted light. This will in return affect the light reaching the attached photosystems. Perspex of 4.5 mm thick has a solar light transmittance of 37% and visible light transmittance of 33%. Glass has a solar transmittance of 90% and visible light transmittance of 91% (Altuglas International, 2016).
+
</math>
<br><br>A changed light intensity
+
is used as input for the first black box, where after equation [1] describes processes happening inside the box and gives an output of electron flux
<math>(&mu; mole photons.m<sup>&minus;2</sup>.s<sup>&minus;1</sup>)
+
<math>(&mu; mole electrons.m<sup>&minus;2</sup>.s<sup>&minus;1</sup>).
 +
</math>
 +
</p>
 +
<p><b>The third &quot;black box&quot;</b>
 +
</p>
 +
<p>Fick’s diffusion laws are used to describe the movement of electrons from the photosystems to the graphene electrode. Fick’s first law is given as:
 +
</p>
 +
<p style="text-align:center;">
 +
<math><i>J</i> = &minus;<i>D</i>(<i>dc</i>/<i>dx</i>)
 +
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[2]
 +
</math>
 +
</p>
 +
<p>Where
 +
<br><math><i>J = diffusion flux (electrons.m<sup>2</sup>.s<sup>&minus;1</sup>)</i>
 
</math>
 
</math>
is obtained as an output as seen in Figure 1 below.
+
<br><math><i>D = diffusion coefficient (m<sup>2</sup>.s<sup>&minus;1</sup>)</i>
</p>
+
<img>
+
<p><b>The second &quot;black box&quot;</b>
+
</p>
+
<p>The second “black box” in the model represents the process of photosynthesis occurring in photosystems within the attached thylakoid membranes.  
+
<br><br>Photosynthetic electron transfer’s relative proton to electron stoichiometries (H+/e- ratios) was obtained from living tobacco plant leaves under steady-state illumination. Electron transfer fluxes as well as turnover rates of linear electron transfer through the cytochrome (cyt) b6f complex were estimated (Colette A. Sacksteder, 2000). In Figure 2, fluorescence yields and electron flux of photosystem II is plotted. Yields from fluorescence during saturation pulses,
+
<math><i>F'</i><sub>M</sub>
+
 
</math>
 
</math>
(closed squares) and yields from fluorescence in the steady-state,
+
<br><math><i>c = concentration (electrons.m<sup>&minus;3</sup>)</i>
<math><i>F</i><sub>s</sub>
+
</math>>
+
(open circles), were obtained at varying light intensities. Photosystem II and associated light-harvesting complexes’
+
<math>(<i>F</i><sub>V</sub>/<i>F'</i><sub>M</sub> or &Phi;<sub>II</sub>, open diamonds)
+
 
</math>
 
</math>
quantum yield and an estimate of the electron flux of photosystem II
+
<br><math><i>x = distance (m)</i>
<math>(<i>i</i>&sdot;&Phi;<sub>II</sub>)
+
 
</math>
 
</math>
were calculated, as described in the above mentioned report.
+
</p>
</p>
+
<p>Equation [2] can be rearranged into Equation [3]:
<img>
+
</p>
<p>The estimate of electron flux
+
<p style="text-align:center;">
<math>(<i>i</i>&sdot;&Phi;<sub>II</sub>)
+
<math><i>V = ((P<sub>1</sub>&minus;P<sub>2</sub>).A.D)/x</i>
 +
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[3]
 +
</math>
 +
</p>
 +
<p>Where
 +
<br><math><i>V = amount of substance (electrons.s<sup>&minus;1</sup>)</i>
 
</math>
 
</math>
(open diamonds) is of importance in describing what happens in the second “black box” of this simulation model. A line of best fit was retrieved from the information in Figure 2 and transformed to a polynomial function plotted in Figure 3, described by the following equation:
+
<br><math><i>P<sub>1</sub> = concentration at point 1 (electrons.m<sup>&minus;2</sup>.s<sup>&minus;1</sup>)</i>
</p>
+
<p style="text-align:center;">
+
<math>f(x) = &minus;2 &times; 10<sup>&minus;4</sup>x<sup>2</sup> + 0.5938x + 13.837
+
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[1]
+
 
</math>
 
</math>
</p>
+
<br><math><i>P<sub>2</sub> = concentration at point 2 (electrons.m<sup>&minus;2</sup>.s<sup>&minus;1</sup>)</i>
<img>
+
<p>The above figure describes the electron flux obtained from a single photosystem II. There is a single photosystem II inside each
+
<math>7.5 &times; 10<sup>&minus;9</sup> m
+
 
</math>
 
</math>
thick thylakoid (Kirschner Lab, 2001).
+
<br><math><i>A = area (m<sup>2</sup>)</i>
<br><br>This was used to calculate the quantity of photosystems II possibly located on the surface area of the graphene electrode.
+
<img>
+
<br><br>As seen in the above Figure 4, light intensity
+
<math>(&mu; mole photons m<sup>&minus;2</sup>s<sup>&minus;1</sup>)
+
 
</math>
 
</math>
is used as input for the first black box, where after equation [1] describes processes happening inside the box and gives an output of electron flux
+
<br><math><i>D = diffusion coefficient (m<sup>2</sup>.s<sup>&minus;1</sup>)</i>
<math>(&mu; mole electrons.m<sup>&minus;2</sup>.s<sup>&minus;1</sup>).
+
 
</math>
 
</math>
</p>
+
<br><math><i>x = distance (m)</i>
<p><b>The third &quot;black box&quot;</b>
+
</p>
+
<p>Fick’s diffusion laws are used to describe the movement of electrons from the photosystems to the graphene electrode. Fick’s first law is given as:
+
</p>
+
<p style="text-align:center;">
+
<math><i>J</i> = &minus;<i>D</i>(<i>dc</i>/<i>dx</i>)
+
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[2]
+
 
</math>
 
</math>
</p>
+
</p>
<p>Where
+
<p>The concentration of electrons at point 1 is the changing electron flux produced by the thylakoid membranes and obtained from the second “black box”. It is assumed that the electron concentration at point 2, which is the surface area of the graphene electrode, is infinitely small. The exposed surface area (A) of the graphene electrode is where the thylakoid membranes are attached. The distance (x) resembles the space between the thylakoid membrane and the surface area of the graphene. Using aptamers, this distance amounts to
<br><math><i>J = diffusion flux (electrons.m<sup>2</sup>.s<sup>&minus;1</sup>)</i>
+
<math>24 &times; 10<sup>&minus;9</sup> m
</math>
+
</math>
<br><math><i>D = diffusion coefficient (m<sup>2</sup>.s<sup>&minus;1</sup>)</i>
+
(Barendse, 2016). Without the use of aptamers an 50% increase in distance is assumed.
</math>
+
<br><br>The diffusion coefficient of electrons in solution is calculated using Einstein’s relation, also known as Einstein–Smoluchowski relation:
<br><math><i>c = concentration (electrons.m<sup>&minus;3</sup>)</i>
+
</p>
</math>
+
<p style="text-align:center;">
<br><math><i>x = distance (m)</i>
+
<math><i>D = &mu;k<sub>B</sub>T</i>
</math>
+
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[4]
</p>
+
</math>
<p>Equation [2] can be rearranged into Equation [3]:
+
</p>
</p>
+
<p>Where
<p style="text-align:center;">
+
<br><math><i>D = diffusion coefficient (m<sup>2</sup>.s<sup>&minus;1</sup>)</i>
<math><i>V = ((P<sub>1</sub>&minus;P<sub>2</sub>).A.D)/x</i>
+
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[3]
+
 
</math>
 
</math>
</p>
+
<br><math><i>&mu; = mobility or ratio of particle's terminal drift velocity to an applied force</i>
<p>Where
+
<br><math><i>V = amount of substance (electrons.s<sup>&minus;1</sup>)</i>
+
</math>
+
<br><math><i>P<sub>1</sub> = concentration at point 1 (electrons.m<sup>&minus;2</sup>.s<sup>&minus;1</sup>)</i>
+
</math>
+
<br><math><i>P<sub>2</sub> = concentration at point 2 (electrons.m<sup>&minus;2</sup>.s<sup>&minus;1</sup>)</i>
+
</math>
+
<br><math><i>A = area (m<sup>2</sup>)</i>
+
</math>
+
<br><math><i>D = diffusion coefficient (m<sup>2</sup>.s<sup>&minus;1</sup>)</i>
+
</math>
+
<br><math><i>x = distance (m)</i>
+
</math>
+
</p>
+
<p>The concentration of electrons at point 1 is the changing electron flux produced by the thylakoid membranes and obtained from the second “black box”. It is assumed that the electron concentration at point 2, which is the surface area of the graphene electrode, is infinitely small. The exposed surface area (A) of the graphene electrode is where the thylakoid membranes are attached. The distance (x) resembles the space between the thylakoid membrane and the surface area of the graphene. Using aptamers, this distance amounts to
+
<math>24 &times; 10<sup>&minus;9</sup> m
+
 
</math>
 
</math>
(Barendse, 2016). Without the use of aptamers an 50% increase in distance is assumed.
+
<br><math><i>k<sub>B</sub> = Boltzmann's constant (J.K<sup>&minus;1</sup>)</i>
<br><br>The diffusion coefficient of electrons in solution is calculated using Einstein’s relation, also known as Einstein–Smoluchowski relation:
+
</p>
+
<p style="text-align:center;">
+
<math><i>D = &mu;k<sub>B</sub>T</i>
+
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[4]
+
 
</math>
 
</math>
</p>
+
<br><math><i>T = Absolute temperature (K)</i>
<p>Where
+
<br><math><i>D = diffusion coefficient (m<sup>2</sup>.s<sup>&minus;1</sup>)</i>
+
</math>
+
<br><math><i>&mu; = mobility or ratio of particle's terminal drift velocity to an applied force</i>
+
</math>
+
<br><math><i>k<sub>B</sub> = Boltzmann's constant (J.K<sup>&minus;1</sup>)</i>
+
</math>
+
<br><math><i>T = Absolute temperature (K)</i>
+
</math>
+
</p>
+
<p>Boltzmann’s constant of
+
<math>1.3806 &times; 10<sup>&minus;23</sup> J.K<sup>&minus;1</sup>
+
</math>
+
is used.  An absolute temperature of 273.16 K is assumed as the battery will be operating at room temperature. The electric mobility in water of
+
<math>20 &times; 10<sup>&minus;8</sup> m.<sup>2</sup>V<sup>&minus;1</sup>.s<sup>&minus;1</sup>
+
</math>
+
is used. The diffusion coefficient
+
<math>m<sup>2</sup>.s<sup>&minus;1</sup></i>
+
</math>
+
is calculated as
+
<math>2.069 &times; 10<sup>&minus;27</sup> m<sup>2</sup>.s<sup>&minus;1</sup>.
+
 
</math>
 
</math>
 +
</p>
 +
<p>Boltzmann’s constant of
 +
<math>1.3806 &times; 10<sup>&minus;23</sup> J.K<sup>&minus;1</sup>
 +
</math>
 +
is used.  An absolute temperature of 273.16 K is assumed as the battery will be operating at room temperature. The electric mobility in water of
 +
<math>20 &times; 10<sup>&minus;8</sup> m.<sup>2</sup>V<sup>&minus;1</sup>.s<sup>&minus;1</sup>
 +
</math>
 +
is used. The diffusion coefficient
 +
<math>m<sup>2</sup>.s<sup>&minus;1</sup></i>
 +
</math>
 +
is calculated as
 +
<math>2.069 &times; 10<sup>&minus;27</sup> m<sup>2</sup>.s<sup>&minus;1</sup>.
 +
</math>
 +
</p>
 +
<br>
 +
<div align="center">
 +
<img width="75%" style="max-width:100%" src="https://static.igem.org/mediawiki/2016/1/11/T--Pretoria_UP--Simulation_Model_6.jpg">
 +
<br>
 +
<p style="font-size:14px !important;text-align:center;">Figure 6: The third "black box"
 
</p>
 
</p>
<img>
+
</div>
<p>In the above Figure 5, electron flux
+
<br>
<math>(&mu; mole electrons.m<sup>&minus;2</sup>.s<sup>&minus;1</sup>)
+
<p>In the above Figure 6, electron flux
</math>
+
<math>(&mu; mole electrons.m<sup>&minus;2</sup>.s<sup>&minus;1</sup>)
is used as input for the second black box, where after equation [3] and [4] describe the diffusion of electrons from the thylakoid membranes to the graphene electrode. An output of a number of electrons per second is obtained.
+
</math>
 +
is used as input for the second black box, where after equation [3] and [4] describe the diffusion of electrons from the thylakoid membranes to the graphene electrode. An output of a number of electrons per second is obtained.
 +
</p>
 +
<p><b>The Overall Model Logic</b>
 +
</p>
 +
<p>Combining all of the “black boxes” results in the model logic as illustrated in Figure 7. Changeable parameters include: light intensity
 +
<math>(&mu; mole photons.m<sup>&minus;2</sup>.s<sup>&minus;1</sup>),
 +
</math>
 +
casing material (Perspex or glass), electrode size and whether or not to select thylakoid attachment by making use of aptamers. The main measurable is current (A).
 +
</p>
 +
<div align="center">
 +
<img style="max-width:75%" src="https://static.igem.org/mediawiki/2016/d/d9/T--Pretoria_UP--Simulation_Model_7.jpg">
 +
<br>
 +
<p style="font-size:14px !important;text-align:center;">Figure 7: The combination of "black boxes" used in the model
 
</p>
 
</p>
<p><b>The Overall Model Logic</b>
+
</div>
 +
<br>
 +
<p><b>User Interface and Animation</b>
 +
</p>
 +
<p>Buttons and sliders are added to allow the user to change specific parameters. Graphs of both the current (A) measured and the influence of light intensity on the electron flux produced are drawn dynamically. A 3D illustration of the PBEC is also presented which is animated as the user changes parameters.
 +
</p>
 +
<p><b>Model Results</b>
 +
</p>
 +
 +
<p>In order to illustrate the results of the simulation model, 3D graphs were compiled of the output obtained from each “black box”. Following is a graph that displays the light intensity obtained after using Perspex and glass of both 0.2 and 0.5 mm thick at various input light intensities. As illustrated, the highest yield is obtained by using 0.2 mm thick glass at a light intensity of <math>1840 &mu; mole photons.m<sup>&minus;2</sup>.s<sup>&minus;1</sup>;
 +
</math></p>
 +
<br>
 +
<br>
 +
<div align="center">
 +
<img width="75%" style="max-width:100%" src="https://static.igem.org/mediawiki/2016/5/5f/T--Pretoria_UP--ResultsGraph1.png">
 +
<br>
 +
<br>
 +
<p style="font-size:14px !important;text-align:center;">Figure 8: Model results of adapted light intensity related to different material types
 
</p>
 
</p>
<p>Combining all of the “black boxes” results in the model logic as illustrated in Figure 6. Changeable parameters include: light intensity
+
</div>
<math>(&mu; mole photons.m<sup>&minus;2</sup>.s<sup>&minus;1</sup>),
+
<br>
</math>
+
<p>The process of photosynthesis occurring in the thylakoid membranes is represented by the second “black box”. Following is a graph of the obtained electron flux as a result of both the electrode size (surface area) and light intensity. The highest yield is observed in the region using an electrode surface area of <math>6.9 cm<sup>2</sup></math> and light intensity of <math>1840 &mu; mole photons.m<sup>&minus;2</sup>.s<sup>&minus;1</sup>;
casing material (Perspex or glass), electrode size and whether or not to select thylakoid attachment by making use of aptamers. The main measurable is current (A).
+
</math>.</p>
 +
<br>
 +
<br>
 +
<div align="center">
 +
<img width="75%" style="max-width:100%" src="https://static.igem.org/mediawiki/2016/3/3d/T--Pretoria_UP--ResultsGraph2.png">
 +
<br>
 +
<br>
 +
<p style="font-size:14px !important;text-align:center;">Figure 9: Model results of electron flux as a result of electrode size and light intensity
 
</p>
 
</p>
<img>
+
</div>
<p><b>User Interface and Animation</b>
+
<br>
</p>
+
<p>The third “black box” represents electron transport from the thylakoid membranes to the graphene electrode via diffusion. Following is a graph of the adjusted electron flux after electron diffusion occurred. The highest output electron flux is obtained by using an input electron flux of <math>8 &times; 10<sup>15</sup></math> μ mole electrons.m<sup>&minus;2</sup>.s<sup>&minus;1</sup>; with the smallest possible distance between the electrode and the thylakoid membranes. This shortest distance is obtained by making use of aptamers of length <math>2.4 &times; 10<sup>&minus;8</sup> m that binds explicitly to the graphene electrode and thylakoid membranes. </p>
<p>Buttons and sliders are added to allow the user to change specific parameters. Graphs of both the current (A) measured and the influence of light intensity on the electron flux produced are drawn dynamically. A 3D illustration of the PBEC is also presented which is animated as the user changes parameters.
+
<br>
</p>
+
<br>
<p><b>Model Results</b>
+
<div align="center">
</p>
+
<img width="75%" style="max-width:100%" src="https://static.igem.org/mediawiki/2016/c/c3/T--Pretoria_UP--ResultsGraph3.png">
<p>After multiple runs, the highest yield resulting in a current of
+
<br>
<math>5.342 &times; 10<sup>&minus;21</sup>A
+
<br>
</math>
+
<p style="font-size:14px !important;text-align:center;">Figure 10: Model results of adjusted electron flux after diffusion occurred
was obtained with the following parameter settings: Light intensity of
+
<math>1840 &mu; mole photons.m<sup>&minus;2</sup>.s<sup>&minus;1</sup>;
+
</math>
+
using glass as casing material; keeping the electrode surface area at
+
<math>3.2 cm<sup>2</sup>;
+
</math>
+
making use of aptamers to attach thylakoids to the electrode.
+
 
</p>
 
</p>
 
</div>
 
</div>
 +
<br>
 +
 +
<p>After multiple runs, the highest yield resulting in a current of
 +
<math>5.342 &times; 10<sup>&minus;21</sup>A
 +
</math>
 +
was obtained with the following parameter settings: Light intensity of
 +
<math>1840 &mu; mole photons.m<sup>&minus;2</sup>.s<sup>&minus;1</sup>;
 +
</math>
 +
using glass as casing material; keeping the electrode surface area at
 +
<math>3.2 cm<sup>2</sup>;
 +
</math>
 +
making use of aptamers to attach thylakoids to the electrode.
 +
</p>
 
</div>
 
</div>
 
</div>
 
</div>
 
</div>
 
</div>
</div>
+
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</div><!--wrapper-->
 
</body>
 
</body>
 
</html>
 
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Latest revision as of 20:10, 19 October 2016

WATTS-APTAMER - PRETORIA_UP iGEM

WATTS-APTAMER - UP_PRETORIA iGEM



Simulation Model

A simulation model of a PBEC (photo-bioelectrochemical cell) was constructed using AnyLogic. It is to be used for illustrational purposes.

AnyLogic is a simulation modelling tool that supports multiple simulation methods such as system dynamics, discrete event and agent based modelling. AnyLogic consists of a graphical modelling language working with Java code extensions.


Click on the link below to run the simulation model in your browser (Note: Java is required)


If your browser doesn't support Java, see the illustration of the model in action below:



"Black box" strategy

In order to reduce the complexity of the simulation model, a “black box” strategy was followed. A “black box model” requires specific information as input where after the system utilizes pre-programmed logic to return output to the user. Many “black box models” can be used which uses each other’s output (Investopedia, 2016). Making use of a “black box model” ensured that functional areas relevant to the proposed model were isolated without neglecting variability, as a result of the influence of other parameters.



Figure 1: A simple “black box” model


The first “black box” to be addressed relates to the influence of the material type used for the casing of the battery. Perspex and glass were considered as possibilities. Absorption properties of material influence transmitted light. This will in return affect the light reaching the attached photosystems. Perspex of 4.5 mm thick has a solar light transmittance of 37% and visible light transmittance of 33%. Glass has a solar transmittance of 90% and visible light transmittance of 91% (Altuglas International, 2016).

A changed light intensity (μ mole photons.m−2.s−1) is obtained as an output as seen in Figure 2 below.


Figure 2: The first “black box”


The second "black box"

The second “black box” in the model represents the process of photosynthesis occurring in photosystems within the attached thylakoid membranes.

Photosynthetic electron transfer’s relative proton to electron stoichiometries (H+/e- ratios) was obtained from living tobacco plant leaves under steady-state illumination. Electron transfer fluxes as well as turnover rates of linear electron transfer through the cytochrome (cyt) b6f complex were estimated (Colette A. Sacksteder, 2000). In Figure 3, fluorescence yields and electron flux of photosystem II is plotted. Yields from fluorescence during saturation pulses, F'M (closed squares) and yields from fluorescence in the steady-state, Fs > (open circles), were obtained at varying light intensities. Photosystem II and associated light-harvesting complexes’ (FV/F'M or ΦII, open diamonds) quantum yield and an estimate of the electron flux of photosystem II (i⋅ΦII) were calculated, as described in the above mentioned report.




Figure 3: Photosystem II electron flux and various fluorescence yields as a function of light intensity


The estimate of electron flux (i⋅ΦII) (open diamonds) is of importance in describing what happens in the second “black box” of this simulation model. A line of best fit was retrieved from the information in Figure 3 and transformed to a polynomial function plotted in Figure 3, described by the following equation:

f(x) = −2 × 10−4x2 + 0.5938x + 13.837        [1]


Figure 4: Electron flux of photosystem II as a function of light intensity


The above figure describes the electron flux obtained from a single photosystem II. There is a single photosystem II inside each 7.5 × 10−9 m thick thylakoid (Kirschner Lab, 2001).

This was used to calculate the quantity of photosystems II possibly located on the surface area of the graphene electrode.




Figure 5: The second "black box"


As seen in the above Figure 5, light intensity (μ mole photons m−2s−1) is used as input for the first black box, where after equation [1] describes processes happening inside the box and gives an output of electron flux (μ mole electrons.m−2.s−1).

The third "black box"

Fick’s diffusion laws are used to describe the movement of electrons from the photosystems to the graphene electrode. Fick’s first law is given as:

J = −D(dc/dx)        [2]

Where
J = diffusion flux (electrons.m2.s−1)
D = diffusion coefficient (m2.s−1)
c = concentration (electrons.m−3)
x = distance (m)

Equation [2] can be rearranged into Equation [3]:

V = ((P1−P2).A.D)/x        [3]

Where
V = amount of substance (electrons.s−1)
P1 = concentration at point 1 (electrons.m−2.s−1)
P2 = concentration at point 2 (electrons.m−2.s−1)
A = area (m2)
D = diffusion coefficient (m2.s−1)
x = distance (m)

The concentration of electrons at point 1 is the changing electron flux produced by the thylakoid membranes and obtained from the second “black box”. It is assumed that the electron concentration at point 2, which is the surface area of the graphene electrode, is infinitely small. The exposed surface area (A) of the graphene electrode is where the thylakoid membranes are attached. The distance (x) resembles the space between the thylakoid membrane and the surface area of the graphene. Using aptamers, this distance amounts to 24 × 10−9 m (Barendse, 2016). Without the use of aptamers an 50% increase in distance is assumed.

The diffusion coefficient of electrons in solution is calculated using Einstein’s relation, also known as Einstein–Smoluchowski relation:

D = μkBT        [4]

Where
D = diffusion coefficient (m2.s−1)
μ = mobility or ratio of particle's terminal drift velocity to an applied force
kB = Boltzmann's constant (J.K−1)
T = Absolute temperature (K)

Boltzmann’s constant of 1.3806 × 10−23 J.K−1 is used. An absolute temperature of 273.16 K is assumed as the battery will be operating at room temperature. The electric mobility in water of 20 × 10−8 m.2V−1.s−1 is used. The diffusion coefficient m2.s−1 is calculated as 2.069 × 10−27 m2.s−1.



Figure 6: The third "black box"


In the above Figure 6, electron flux (μ mole electrons.m−2.s−1) is used as input for the second black box, where after equation [3] and [4] describe the diffusion of electrons from the thylakoid membranes to the graphene electrode. An output of a number of electrons per second is obtained.

The Overall Model Logic

Combining all of the “black boxes” results in the model logic as illustrated in Figure 7. Changeable parameters include: light intensity (μ mole photons.m−2.s−1), casing material (Perspex or glass), electrode size and whether or not to select thylakoid attachment by making use of aptamers. The main measurable is current (A).


Figure 7: The combination of "black boxes" used in the model


User Interface and Animation

Buttons and sliders are added to allow the user to change specific parameters. Graphs of both the current (A) measured and the influence of light intensity on the electron flux produced are drawn dynamically. A 3D illustration of the PBEC is also presented which is animated as the user changes parameters.

Model Results

In order to illustrate the results of the simulation model, 3D graphs were compiled of the output obtained from each “black box”. Following is a graph that displays the light intensity obtained after using Perspex and glass of both 0.2 and 0.5 mm thick at various input light intensities. As illustrated, the highest yield is obtained by using 0.2 mm thick glass at a light intensity of 1840 μ mole photons.m−2.s−1;





Figure 8: Model results of adapted light intensity related to different material types


The process of photosynthesis occurring in the thylakoid membranes is represented by the second “black box”. Following is a graph of the obtained electron flux as a result of both the electrode size (surface area) and light intensity. The highest yield is observed in the region using an electrode surface area of 6.9 cm2 and light intensity of 1840 μ mole photons.m−2.s−1; .





Figure 9: Model results of electron flux as a result of electrode size and light intensity


The third “black box” represents electron transport from the thylakoid membranes to the graphene electrode via diffusion. Following is a graph of the adjusted electron flux after electron diffusion occurred. The highest output electron flux is obtained by using an input electron flux of 8 × 1015 μ mole electrons.m−2.s−1; with the smallest possible distance between the electrode and the thylakoid membranes. This shortest distance is obtained by making use of aptamers of length 2.4 × 10−8 m that binds explicitly to the graphene electrode and thylakoid membranes.





Figure 10: Model results of adjusted electron flux after diffusion occurred


After multiple runs, the highest yield resulting in a current of 5.342 × 10−21A was obtained with the following parameter settings: Light intensity of 1840 μ mole photons.m−2.s−1; using glass as casing material; keeping the electrode surface area at 3.2 cm2; making use of aptamers to attach thylakoids to the electrode.

WATTS-APTAMER - PRETORIA_UP iGEM