Pasta quality as impacted by the type of flour and starch and the level of egg addition.

UNLABELLED

This study investigated the effects of substituting wheat flour with fractions of different starch types and egg levels on pasta quality. First order mixture response surface model was used where the effects of various starch types and egg levels on pasta quality were evaluated. Coefficients of estimation were determined and fractional contribution of wheat, starch type and egg levels were evaluated. Egg levels negatively (p < .05) impacted treatments pasting viscosities, except in potato starch and rice flour. Stabilized rice bran peak viscosity increased from 215.0 to 3420.0 cP with decrease in egg level from 33 to 0%. Flow behavior index of treatments solution with various fractions of starch types and egg level ranged from 0.34 to 1.42 and was significantly (p < .05) lower than control (i.e., 2.15) indicating a better fit as a shear thinning model. Water holding capacity values of acorn starch and lupine flour were the greatest among treatment ranging from 86.8% to 176.0% and from 83.3% to 152.0%, respectively. Results also showed a possible modification of cooked pasta quality including firmness, stickiness, cooking loss, and water uptake, keeping with consumer acceptability through varying starch type and egg level.

PRACTICAL APPLICATIONS

Results show that flour and starch type and egg level interaction play significant role in pasta blends formulation. Moreover, substitution of wheat flour with acorn, native or modified corn and potato starches fractions, as well as with lupine, rice, tapioca, and stabilized rice bran flours would have significant effects on the physical properties and acceptability of various cereal products. For instance, the use of rice bran in potentially developed products would enhance the consumption of whole grain foods, resulting in improved intake of fiber and other healthy components.