Polyclonal antibodies to grain gliadins and their application in wheat quality prediction

Li, Q. and Ji, K. and Song, X. and Zhang, E. and Pei, Y. and Yan, Y. (2008) Polyclonal antibodies to grain gliadins and their application in wheat quality prediction. Cereal Research Communications, 36 (1). pp. 117-124. ISSN 0133-3720

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Abstract

Gliadins were extracted from three wheat varieties, viz. Nongda 99260037 (good quality), Henan 9023 (media quality) and Nongda 98123 (poor quality), and α-, β-, γ-, ω -gliadins were purified from Nongda 99260037 using preparative SDS-PAGE. The total gliadins and α-, β-, γ-, ω -gliadins were used as antigens to immunise BALB/C mice, and the corresponding polyclonal antibodies were prepared, designated as Anti-A, Anti-B, Anti-C, Anti-A α , Anti-A β , Anti-A γ and Anti-A ω , respectively. Binding of the polyclonal antibodies with 8 varieties, that varied in quality properties, showed correlations with some wheat quality parameters. Correlation coefficients between antibodies against total gliadins or γ -, and ω -gliadin of Nongda 99260037 and quality parameters were higher than other antibodies. Of seven polyclonal antibodies tested, three (Anti-A γ , Anti-A ω and Anti-A) displayed significant positive or negative associations between antibody binding and dough development time, strength, valorimenter value and stability time, but no significant correlations were observed with water absorption. These results suggest that polyclonal antibodies could be used for rapid prediction and screening of wheat quality parameters.

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