The PLS regression technique was used to study how chemical composition of the wheat flours and physical properties of dough (independent variables, x) were related to the sensory attributes (dependent variables, y) of instant noodles. Five wheat flours were characterized and physical properties of doughs were measured. About 68% of the variability in sensory could be explained by the chemical composition of flours and physical dough properties. The albumin, starch and amylose were positively and the total protein content, gliadin, globulin, ash, Zn and Mg were negatively related to sensory attributes along the PLS‐factor1. Along the PLS‐factor2, water and Ca of wheat flours were positively and negatively related to the sensory attributes, respectively. The PLS‐factor1 consisted mainly of farinograms and extensograms parameters, while PLS‐factor2 mainly described variation in gelatinization properties. The glutelin and SP had a small contribution to the sensory appeals of instant noodles.
PRACTICAL APPLICATIONS
The relationship between instrumental measurements and sensory evaluation in instant noodles were studied by partial least squares regression. The results of this research might be useful for the evaluation of the texture of instant noodle objectively and accurately.