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Characterization of Durum Wheat Semolina by Means of a Rapid Shear-Based Method

November 2014 Volume 91 Number 6
Pages 542 — 547
Alessandra Marti,1,2 Cristina Cecchini,3 Maria Grazia D'Egidio,3 Jens Dreisoerner,4 and Maria Ambrogina Pagani1

Department of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, via Giovanni Celoria 2, 20133 Milan, Italy. Corresponding author. Phone: +39 02 50316640. E-mail: alessandra.marti@unimi.it Consiglio per la Ricerca e la Sperimentazione in Agricoltura (CRA-QCE), via Cassia 176, 00191 Rome, Italy. Food Division, Brabender GmbH & Co. KG, 51–55 Kulturstrasse 47055, Duisburg, Germany.


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Accepted May 25, 2014.
ABSTRACT

A rapid shear-based test (the GlutoPeak test, recently proposed by Brabender) was used to investigate gluten aggregation properties of durum wheat semolina and to relate them to pasta cooking behavior. Thirty semolina samples were characterized by means of the conventional approaches used for pasta-quality prediction (protein content, gluten index, and alveographic indices). All samples were also analyzed by the GlutoPeak test, obtaining three parameters: maximum peak torque, maximum peak time, and area under the peak. The GlutoPeak indices were significantly correlated with protein content, gluten index, and W alveographic parameter. The cooking quality of pasta obtained from the 30 semolina samples was evaluated by sensory analysis in terms of stickiness, bulkiness, firmness, and overall quality. The GlutoPeak indices were significantly correlated with the sensorial parameters. In comparison with the alveographic test, which is presently the most used rheological approach for semolina characterization, GlutoPeak analysis presents some advantages represented by a smaller amount of sample (9 g), a shorter time (less than 5 min), and the possibility that untrained analysts can carry it out. In addition, following testing with larger sample numbers, the GlutoPeak test has the potential to be used instead of the gluten index as a rapid and reliable approach for medium-quality semolina characterization.



© 2014 AACC International, Inc.