Cereal Research Communications

, Volume 36, Issue 1, pp 117–124 | Cite as

Polyclonal Antibodies to Grain Gliadins and Their Application in Wheat Quality Prediction

  • Q. Y. Li
  • K. M. Ji
  • X. Y. SongEmail author
  • E. Y. Zhang
  • Y. H. Pei
  • Y. M. YanEmail author


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.


polyclonal antibodies ELISA gliadins wheat quality 


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Copyright information

© Akadémiai Kiadó, Budapest 2008

Authors and Affiliations

  1. 1.Laboratory of Protein Biochemistry, College of Life ScienceQingdao Agricultural UniversityQingdaoChina
  2. 2.Institute of Vegetable ResearchShandong Academy of Agricultural SciencesJinanChina
  3. 3.Key Laboratory of Genetics and Biotechnology, College of Life ScienceCapital Normal UniversityBeijingChina

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