Welcome to the Teamwiki of the iGEM Aachen in 2014!
Cellock Holmes - a case of identity
Pathogens on solid surfaces in places where good hygiene is crucial pose a serious threat, since – even after cleaning – these can still be present in dangerous amounts. This is demonstrated by the high number of 3.2 million patients each year that have to be treated due to in the health sector acquired infections. And 37000 of those infections end deadly. The EU estimates that at least 20-30% of those cases would be preventable with an intensive hygiene program. However, for a more effective control these respective pathogens have to be identified.
We are developing a system that makes this possible. We are constructing a device with which pathogens can be detected easily, efficiently, effectively and less expensively by utilising genetically modified cells. We focus on a fast response time coupled with an automated analysis.
Our project is not only applicable to the detection of pathogens but we are looking to develop it further into a platform for a general 2D detection of nearly any cell or substance.
Current techniques vs. Cellock Holmes
Current techniques to detect pathogens on surfaces are very time consuming and require expensive equipment as well as trained personnel. We aim to make the detection not only easy to use and fast, but also inexpensive in both frequent use as well as device costs.
Additionally we aim to enhance the detection itself. The current methods have a high variability in their assays, especially in low concentrations. Our goal is to not only reduce the variability in the detection, but also reliably detect and quantify pathogen in the low concentration which are only required for these pathogens to be infectious.
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