diff --git a/wiki/pages/model.html b/wiki/pages/model.html
index ac11dd0d9aa64a1f01f93978f4fb59a6cfbf2966..462ef5a9260c4619a0281254b9e67408b65391f2 100644
--- a/wiki/pages/model.html
+++ b/wiki/pages/model.html
@@ -452,7 +452,10 @@ Most of the values we used for modeling were taken from the literature. Table 2
<tr>
<td class="tg-49iy" >mLi</td>
<td class="tg-49iy" >LacI mRNA</td>
- <td class="tg-vml0" ><img class="rounded img-fluid float-right" style="width: 35%" alt="Representation of LacI mRNA." src=" https://static.igem.wiki/teams/4147/wiki/model/mli.png" ></td>
+ <td class="tg-vml0" ><a class="btn" data-bs-toggle="collapse" href="#podcastImpact" role="button" aria-expanded="false" aria-controls="podcastImpact"><img class="rounded img-fluid float-right" style="width: 35%" alt="Representation of LacI mRNA." src=" https://static.igem.wiki/teams/4147/wiki/model/mli.png"></a>
+ <div class="collapse text-center" id="podcastImpact">
+ <img alt="Irnaldo waving" width="70%" alt="" src="https://static.igem.wiki/teams/4147/wiki/education/irnaldos/t-attributions.png"/>
+ </div></td>
<td class="tg-49iy" >5</td>
<td class="tg-49iy" >nM<br></td>
</tr>
@@ -1228,7 +1231,7 @@ end
<br>
<br>
-<strong><h2 class="font-weight-bold text-center" id="sensitivity" style="color:#946F00;"> <b>SENSITIVITY ANALYSIS</b> </h2> </strong>
+<strong><h1 class="font-weight-bold text-center" id="sensitivity" style="color:#946F00;"> <b>SENSITIVITY ANALYSIS</b> </h1> </strong>
<p>Once the model was built, we wanted to see how parameter perturbation affected our model. We did this for two purposes:</p>
@@ -1274,7 +1277,7 @@ end
<p>Table 3 shows that the impact of IPTG concentration is greater than the impact of the other parameters. It also confirms that the parameters KuLi2I, KsLiO, KLiO, KsLi, KLi are in the same group, which shows a null impact on peptide production.</p>
<br>
-<strong><h2 class="font-weight-bold text-center" id="using" style="color:#946F00;"> <b>USING MEASUREMENTS TO IMPROVE OUR MODEL</b> </h2> </strong>
+<strong><h1 class="font-weight-bold text-center" id="using" style="color:#946F00;"> <b>USING MEASUREMENTS TO IMPROVE OUR MODEL</b> </h1> </strong>
<p>This model is a qualitative analysis of the behavior of our expression system. And it can provide an approximation of the variables that most impact the production of our molecules of interest, as well as an approximation of the final concentration of our peptides. This gives us the possibility to start experiments in the Lab with ideas on how to optimize our system. However, it is possible to improve the system through experiments with measurable signals. The diagram below shows a visualization of the experiment that can be performed to improve the model.
</p>
<div class="col-12 col_img">
@@ -1291,14 +1294,14 @@ end
<p>We started with experiments to improve our model. However, due to time constraints in the lab we were not able to finish them.</p>
<br>
-<strong><h2 class="font-weight-bold text-center" id="conclusion" style="color:#946F00;"> <b>CONCLUSION</b> </h2> </strong>
+<strong><h1 class="font-weight-bold text-center" id="conclusion" style="color:#946F00;"> <b>CONCLUSION</b> </h1> </strong>
<p>In our project, we are going to produce antimicrobial peptides in <em>E. coli</em>. To this end, our model provides insight into the expression processes of it under the control of an IPTG-inducible promoter. Our model is designed to predict the optimal concentrations of IPTG to produce more peptides. Also, our model can be easily adapted to other expression systems using inducible promoters.
</p>
<p></p>
<br>
- <strong><h2 class="font-weight-bold text-center" id="TITLE" style="color:#946F00;"> <b>REFERENCES</b> </h2> </strong>
+ <strong><h1 class="font-weight-bold text-center" id="References" style="color:#946F00;"> <b>REFERENCES</b> </h1> </strong>
<p id="R7" class="francesa">Basu, S., Gerchman, Y., Collins, C. H., Arnold, F. H., & Weiss, R. (2005). A synthetic multicellular system for programmed pattern formation. Nature, 434(7037), 1130–1134. doi:10.1038/nature03461</p>