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IWC Annual Report 2003 - Institut für Wasserchemie und chemische ...

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1.3.2 Development of Immunochemical Methods for the Detection of Food<br />

Allergen Traces<br />

F<strong>und</strong>ing: EU QLRT-2000-01151 Cooperation: IFA Tulln, Austria (Prof. Krska);<br />

RIKILT, The Netherlands (Dr. Haasnoot); CSL, UK (Dr. Banks); r-Biopharm, Germany<br />

(Dr. Schmitt); UNIMI, Italy (Prof. Restani); VU, Belgium; CMHT, UK (Dr.<br />

Wilson)<br />

Lack of complete knowledge about the food composition may be hazardous for allergic<br />

patients. Even traces of certain proteins can result in fatal reactions so the only<br />

effective measure for these individuals is an avoidance diet. This, however, could be<br />

<strong>und</strong>ermined by “hidden allergens” which may be caused by cross contaminations, for<br />

example in chocolate, cookies and ice cream or in food prepared in restaurants.<br />

Allergies to peanut and hazelnut proteins are particularly<br />

prevalent and severe. Hence, our project is focused<br />

on the development of detection systems for these allergens.<br />

There is a need for sensitive lab-based immunoassays<br />

(ELISA) for routine analysis and rapid easy-to-use<br />

test strips, which might be even used by the consumer.<br />

1.0<br />

Up to now we received about 100 different antibodies from<br />

0.8<br />

our partners, monoclonal as well as polyclonal ones from<br />

several species. We characterized all the antibodies apply-<br />

0.6<br />

ing various test formats to get information about affinities<br />

and application conditions such as dilution factors or in-<br />

0.4<br />

cubation times. Furthermore, we had to identify matching<br />

pairs; antibody combinations which are suitable for sand-<br />

0.2<br />

wich immunoassays. Homologous as well as heterologous<br />

pairs were screened, especially combinations consisting of<br />

two monoclonal mouse antibodies. For both peanut and<br />

hazelnut detection we fo<strong>und</strong> various matching pairs which<br />

showed excellent sensitivities.<br />

(M. Kiening)<br />

0.0<br />

1.3.3 Development of a Method for Effect Related Analysis of Toxins<br />

F<strong>und</strong>ing: BMBF 02WU0331<br />

Cooperation: <strong>Institut</strong>e of Technical Biochemistry (Stuttgart), German Research Centre<br />

for Biotechnology (Braunschweig)<br />

Gro<strong>und</strong>water and surface water are often contaminated by a complex mixture of<br />

chemicals, which could be of anthropogenic or environmental origin. The enormous<br />

variety of the compo<strong>und</strong>s prevents a complete chemical analysis. The relevance of the<br />

substances for the ecosystem and human health is usually assessed by using biotests.<br />

Test organisms are mussels, algae, fishes as well as microorganisms such as luminescent<br />

bacteria. However, with these tests only the acute toxicity to the specific organisms<br />

can be assessed and no information on the compo<strong>und</strong>s causing the effects is provided.<br />

Furthermore, besides toxic substances, the mixture could contain substances like pharmaceuticals,<br />

which may show unwanted effects to the ecosystem. The effect-related<br />

analysis combines chemical analysis and toxicity tests. After a physicochemical separation<br />

the substances pass a biochemical detector. In this detection unit biomolecular<br />

recognition elements are embedded, which detect a potentially toxic effect of the analyte.<br />

Relative Absorbance (450 nm)<br />

0 0.1 1 10 100 1000<br />

Concentration Peanut [µg/L]<br />

15

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