Difference between revisions of "Team:Dundee/Modelling"

Line 61: Line 61:
 
<section>
 
<section>
 
<h3>Introduction</h3>
 
<h3>Introduction</h3>
<p>blah, blah</p>
+
<p>Mathematical modelling and analysis techniques were used throughout the project to gain a better understanding of the events occurring and to inform lab based decision making. Models were created for each of the aspects of the project; aging of fingerprints, the BioSpray and the chromate sensor.</p>
 
</section>
 
</section>
  
<!-- button navigation -->
+
<section>
<a class="anchor" id="selection"></a>
+
<h3>BioSpray</h3>
    <section id="about" class="row1">   
+
<p>
      <div class="row">
+
The models for the BioSpray all follow a similar methodology. The law of mass action allows the description of chemical schematics or reaction pathways by equations. Ordinary differential equations (ODEs) were used to describe the binding reactions between the molecules in the BioSpray with their targets in the sample. Each ODE has one independent variable and its derivatives, describing the change of the variable over time. This allows for the investigation of the concentrations of substances left after binding has occurred, allowing for the analysis of the optimum concentration required in the BioSpray.
        <div class="col-lg-4">
+
</p>
          <a href="https://2015.igem.org/Team:Dundee/Modelling/Biospray" class="scroll"><span class="glyphicon glyphicon-briefcase"></span></a>  
+
</section>
          <h3>BioSpray</h3>
+
          <p class="about-content">The models for the BioSpray focus on each of the components of the BioSpray binding with their targets in the sample.</p>
+
        </div>
+
        <div class="col-lg-4">
+
          <a href="https://2015.igem.org/Team:Dundee/Modelling/Fingerprints"><span class="glyphicon glyphicon-search" type="button"></span></a>
+
          <h3>Fingerprint Aging</h3>
+
          <p class="about-content">Principle component analysis was used to find the most likely composites to be found in the fingerprint. A second model was used to describe the binding between the target composites and the molecules in our device</p>
+
        </div>
+
        <div class="col-lg-4">
+
          <a href="https://2015.igem.org/Team:Dundee/Modelling/Chromate"><span class="glyphicon glyphicon-eye-open"></span></a>
+
          <h3>Chromium Detector</h3>
+
          <p class="about-content">A model of the interactions occuring over time was created. Bone incision experiments were done to complement this.</p>
+
        </div>
+
      </div>
+
    </section>
+
  
 
+
<section>
 
+
<h3>Fingerprint Aging</h3>
<div id ="mainContainer">
+
<p>blah, blah</p>
<div id="general">
+
</section>
<b>Introduction</b>
+
<section>
 
+
<h3>Chromate Detector</h3>
<br><br>
+
<p>blah, blah</p>
<!--The notation \(....\) is used where the four dots are a math notation that we want in a text line-->
+
</section>
 
+
 
+
 
+
        </div>
+
      </div>
+
  
  

Revision as of 10:04, 31 July 2015

DRY LAB

Introduction

Introduction

Mathematical modelling and analysis techniques were used throughout the project to gain a better understanding of the events occurring and to inform lab based decision making. Models were created for each of the aspects of the project; aging of fingerprints, the BioSpray and the chromate sensor.

BioSpray

The models for the BioSpray all follow a similar methodology. The law of mass action allows the description of chemical schematics or reaction pathways by equations. Ordinary differential equations (ODEs) were used to describe the binding reactions between the molecules in the BioSpray with their targets in the sample. Each ODE has one independent variable and its derivatives, describing the change of the variable over time. This allows for the investigation of the concentrations of substances left after binding has occurred, allowing for the analysis of the optimum concentration required in the BioSpray.

Fingerprint Aging

blah, blah

Chromate Detector

blah, blah