- Chip-basiertes Detektionssystem für den Vor-Ort-Nachweis von Tierseuchen
Chip-basiertes Detektionssystem für den Vor-Ort-Nachweis von Tierseuchen
in: Temporal Proceedings (2010)
The proceeding global trade of live stock increases the risk of spreading animal diseases and other pathogens, so diagnostic methods and tools are needed that enable fast on-site analysis. These novel methods would be a substantial improvement, because the testing and diagnosis can be done on-site without the time consuming transport and analysis of these samples in highly specialized labs. Our aim is the development and realization of a device for an on-site analysis of animal. The device combines two chip-based platforms which is a first step on the way to an integrated system for bimolecular analysis: a chip based PCR and a chip based DNA hybridization. The latter carried out on the DNA chip with electrical detection. The PCR chip represents a miniaturized form of classical thermo cyclers and enables fast and sensitive amplification and labeling of specific DNA equences with minimal space and energy requirements. The detection and identification of the PCR products is performed on the DNA chip with an electrical readout. For the electrical detection specifically modified chips with electrode gap structures are used. If target DNA binds, silver can be deposited and the metal deposition bridges a gap between the lectrodes. This silver deposition can be readout by a simple conductivity measurement. The electrical readout of biochips is a very robust and cost efficient technique and it enables the construction of small portable analysis devices. The combination of the two technologies enables a very fast and locally highly specific sequence based detection and differentiation of pathogens. Further it combines the accuracy of sequence analysis with the speed of arrays. In addition the detection of various strains in a single experiment is possible. The DNA chip analysis system is automated and provides a novel, robust and compact technology for the identification of animal diseases for the use in on-site in the future.