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− | + | Based on the principles of quorum sensing, we realized the identification of bacterial microenvironment. This enables our engineered <i>E. coli</i> to recognize the quorum sensing signal molecule AHL produced by <i>iron bacteria</i>, activate the expression of biological rust removers and biological biofilm remover. The biological rust remover we chose is the strongest ferric chelating agent-siderophore in nature. As for biofilm remover we chose a glycosidase from the actinomycetemella actinomycete that degrades the biofilm polysaccharide backbone. | |
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− | With the progress of rust removing, the siderophore- | + | With the progress of rust removing, the concentration of siderophore-Fe<sup>3+</sup> complex will continue to increase, and we hope that after the bacteria sense this signal, the expression of the biocide will be initiated. But in the natural iron sensing system, high concentration of iron inhibits the expression of genes, so we need to modify them. By introducing the foreign gene - lacI, which was inhibited under high-iron conditions and will inhibit the biocide gene, we can realize the design of the iron reversal system. |
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− | + | The biocides we tried to use is cecropin AD, an antibacterial peptide derived from silkworm, which has a spectral and efficient bactericidal effect. In order to release this peptide to extracellular space, we achieve cell rupture by simultaneously expressing the autolysin gene. | |
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− | For biosafety reasons, | + | For biosafety reasons, we should try to prevent engineered bacteria from escaping into the natural environment from pipeline systems. Given the dark environment inside the pipeline and the light environment is natural space, the light-on suicide is adopted, and the suicide gene is expressed when light is present. |
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− | For higher biosafety and detectability, we have designed a new hardware-iTube that can be applied to the | + | For higher biosafety and detectability, we have designed a new hardware - iTube that can be applied to the pipeline system. iTube's built-in sensors can detect circulating water parameters, then by using artificial neural networks to conduct corrosion prediction and blockage assessment of cooling water systems, it can people to add engineered bacteria for cleaning the biofilm and rust. At the same time, the built-in light system can also be manually turned on and off, making the growth of the engineered bacteria in pipe artificially regulated. |
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Latest revision as of 01:09, 18 October 2018