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Zawartość zarchiwizowana w dniu 2024-05-24

High sensitive analysis of pesticides

Cel

Development of a new, universal principle for an ultra sensitive analysis of pesticides Our research includes the basic researches as well as measurements of environmental samples using an flow system. The analyzed pesticides are reversible inhibitors (carbamates) and irreversible inhibitors (organophosphorous compounds) of cholinesterase.
The new concept consists of three parts:
1. pre-incubation: The inhibitor of the sample binds to the active site of labeled butyrylcholinesterase.
2. separation: The remaining, not inhibited sites of labeled butyrylcholinesterase are removed by an affinity support
3. display: The marker of the not bound inhibitor complexed cholinesterase creates a signal proportional to the concentration of the inhibitor. By optimizing the three parts of the analysis it will be possible to detect the pesticide in five till ten minutes. This would be the fastest and most sensitive pesticide detection carried out so far. Before applying the flow system basic tests will be carried out in the batch.
The main points of research are :
- synthesis and characterization of affinity supports with varying reversible inhibitors of cholinesterase and different spacers. This allowing regeneration of the support .
- synthesis, purification and characterization of cholinesterase-marker-conjugate: possible markers are enzymes, chemiluminescence and fluorescence compounds
-kinetic measurements of cholinesterase with various inhibitors- batch measurements of reversible and irreversible inhibitors of cholinesterase including real-samples with different optical displays
- automatized flow injection analysis
- development of a new analyzing apparatus and measurement of rea-samples on the spot.

Dziedzina nauki (EuroSciVoc)

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Zaproszenie do składania wniosków

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System finansowania

BUR - Bursaries, grants, fellowships

Koordynator

UNIVERSITY OF POTSDAM
Wkład UE
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Adres
10,Karl-Liebknecht-strasse 24-25
14476 GOLM
Niemcy
Koszt całkowity
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