Rheological Properties of Fluid Foods

2001 ◽  
pp. 81-122
Author(s):  
Deise Souza de Castro ◽  
Inacia dos Santos Moreira ◽  
Francinalva Cordeiro de Sousa ◽  
Wilton Pereira da Silva ◽  
Josivanda Palmeira Gomes ◽  
...  

The present study aimed to characterize the physical, chemical and rheological properties of starch extracted from pitomba seeds and verify the influence of its addition on the syneresis and viscosity characteristics of ketchup during storage, compared to maize starch. Extraction was performed by grinding the seeds in sodium metabisulfite solution (0.2%) followed by drying at 50 ºC. ketchups were formulated with the addition of 0.5 and 1% pitomba starch, 0.5 and 1% maize starch and a control formulation. Starch showed low percentages of protein, ashes and lipid, starch purity of 77.78%, amylose of 19.25%, apparent density of 0.46 g/cm3 and compact density of 0.66 g/cm3. The starch pastes showed pseudoplastic behavior and imparted significant viscosity, usable in increasing the consistency of fluid foods. Ketchups formulated with addition of pitomba starch showed reduction of syneresis during storage, and the 1% starch concentration can slow down the syneresis process in ketchup at temperatures of 7 and 25 °C, similar to the stabilizing capacity of maize starch. Ketchup viscosity increased with the addition of pitomba and maize starches, but the highest apparent viscosities were obtained in ketchup with addition of pitomba starch during storage


2020 ◽  
Vol 29 (12) ◽  
pp. 52-58
Author(s):  
E.P. Meleshkina ◽  
◽  
S.N. Kolomiets ◽  
A.S. Cheskidova ◽  
◽  
...  

Objectively and reliably determined indicators of rheological properties of the dough were identified using the alveograph device to create a system of classifications of wheat and flour from it for the intended purpose in the future. The analysis of the relationship of standardized quality indicators, as well as newly developed indicators for identifying them, differentiating the quality of wheat flour for the intended purpose, i.e. for finished products. To do this, we use mathematical statistics methods.


Author(s):  
Maria Szcześniak ◽  
◽  
Bożena Grimling ◽  
Jan Meler ◽  
Bożena Karolewicz

2016 ◽  
Vol 26 (3) ◽  
pp. 370-380
Author(s):  
Vladimir V. Maslyakov ◽  
◽  
Olga I. Dralina ◽  
Yuliya B. Vlasenko ◽  
Larisa M. Kim

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