Difference between revisions of "Team:Stuttgart"

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     /* styling for the titles h1 h2 */
 
     /* styling for the titles h1 h2 */
 
     .igem_2017_content_wrapper h1, .igem_2017_content_wrapper h2 {
 
     .igem_2017_content_wrapper h1, .igem_2017_content_wrapper h2 {
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        color:#FFBF00;
 
         padding:5px 15px;
 
         padding:5px 15px;
 
         border-bottom: 0px;
 
         border-bottom: 0px;
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     .igem_2017_content_wrapper h3, .igem_2017_content_wrapper h4, .igem_2017_content_wrapper h5, .igem_2017_content_wrapper h6 {
 
     .igem_2017_content_wrapper h3, .igem_2017_content_wrapper h4, .igem_2017_content_wrapper h5, .igem_2017_content_wrapper h6 {
 
         padding:5px 15px;
 
         padding:5px 15px;
         border-bottom:0px;
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         border-bottom:0;
  
 
     }
 
     }
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     /* font and text */
 
     /* font and text */
 
     .igem_2017_content_wrapper p {
 
     .igem_2017_content_wrapper p {
         padding: 0px 15px;
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         padding: 15px 0;
 
         font-size: 13px;
 
         font-size: 13px;
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    }
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    .igem_2017_content_wrapper img {
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        padding: 15px 0;
 
     }
 
     }
  

Revision as of 18:37, 10 September 2017

LIGHT UP THE PIPE

The clogging of drains and pipe systems by hair and fat is a serious problem in industry and private households. Currently many blockages are dissolved by toxic and reactive chemicals like hydroxide and chlorine compounds, leading to accelerate corrosion in the pipe system and ecological damage. Our aim is to engage this problem in a more sustainable and eco-friendly way by developing a biological cleaner based on a holistic approach using E.coli. Our microbial system is targeted on producing and secreting enzymes, such as keratinases, lipases and esterases to break down hair, fat and other pollutants. By optimizing the secretion of the selected enzymes, we are avoiding enzyme purification which can save valuable money and time. Additionally, we want to produce a scent from the existing waste as an indicator of successful degradation. Involving mathematical modeling of enzymatic kinetics and degradation processes will support the experimental work. Finally this approach will LIGHT UP THE PIPE again!