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A Chemometric Approach to Assess the Rheological Properties of Durum Wheat Dough by Indirect FTIR Measurements

Fanari, Fabio; Carboni, Gianluca; Desogus, Francesco; Grosso, Massimiliano ; Wilhelm, Manfred 1
1 Institut für Technische Chemie und Polymerchemie (ITCP), Karlsruher Institut für Technologie (KIT)

Abstract:

Rheological measurements and FTIR spectroscopy were used to characterize different doughs, obtained by commercial and monovarietal durum wheat flours (Cappelli and Karalis). Rheological frequency sweep tests were carried out, and the Weak Gel model, whose parameters may be related to gluten network extension and strength, was applied. IR analysis mainly focused on the Amide III band, revealing significant variations in the gluten network. Compared to the other varieties, Karalis semolina showed a higher amount of α-helices and a lower amount of β-sheets and random structures. Spectroscopic and rheological data were then correlated using Partial Least Squares regression (PLS) coupled with the Variable Importance in Projection (VIP) technique. The combined use of the techniques provided useful insights into the interplay among protein structures, gluten network features, and rheological properties. In detail, β-sheets and α-helices protein conformations were shown to significantly affect the gluten network's mechanical strength.


Verlagsausgabe §
DOI: 10.5445/IR/1000144611
Veröffentlicht am 11.04.2022
Originalveröffentlichung
DOI: 10.1007/s11947-022-02799-z
Scopus
Zitationen: 19
Web of Science
Zitationen: 16
Dimensions
Zitationen: 19
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Technische Chemie und Polymerchemie (ITCP)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 1935-5130, 1935-5149
KITopen-ID: 1000144611
Erschienen in Food and Bioprocess Technology
Verlag Springer
Band 15
Heft 5
Seiten 1040–1054
Vorab online veröffentlicht am 23.03.2022
Schlagwörter FTIR measurements, Dough rheology, Rheological model, Durum wheat, Chemometric methods, Variable selection methods
Nachgewiesen in Dimensions
Web of Science
Scopus
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