Application of surface response methodology to optimize hydrolysis of wheat gluten and characterization of selected hydrolysate fractions

Abstract

BACKGROUND: The aim of this work was to optimize the hydrolysis experimental conditions to obtain wheat gluten hydrolysates and to characterize fractions from hydrolysates with different hydrolysis degrees in order to develop protein functional ingredients. Surface response methodology was used to analyze the effect of reaction factors on the degree of hydrolysis to assess the conditions for maximum fungal protease enzyme activity. Hydrolysates having three different trichloroacetic acid indices (TCAI) were prepared. Soluble fractions at pH 4, 6.5 and 9 from these hydrolysates were characterized by electrophoresis, reverse-phase high-performance liquid chromatography, free amino group content and peptide chain length.

Structure–mechanism relationship of antioxidant and ACE I inhibitory peptides from wheat gluten hydrolysate fractionated by pH

“…15851 Standard technique). In order to disperse vital gluten in water and have a uniform suspension, a moderate thermal treatment was carried out according to Drago, González, and Añón (2008). Samples of thermal-treated gluten (TTG) were used as substrate of protein hydrolysis reaction.…”

Production of wheat gluten hydrolyzates by enzymatic process at high pressure

“…Thus, enzymatic hydrolysis of WG has been expected as a method resolving gluten allergenicity and producing valuable food materials for use as condiments [3][4][5]. Until now, some studies dealing with the enzymatic hydrolysis of WG and characterization for the resultant hydrolyzates have been reported [6,7]. However, these reports were conducted at ambient pressure and had some limitations with respect to reaction conditions such as reaction time and temperature, duration of hydrolysis, and product yield according to the catalytic properties of the proteases used.…”

Application of multiple response optimization design to quantum dot-encoded microsphere bioconjugates hybridization assay

“…Secondly, the hybridization reaction is the other main limitation step of beadbased assays, with similar experimental considerations to planar arrays since the reaction occurs at a solid-liquid interface. Kinetics, target detection specificity and sensitivity in ASO hybridization methods depend highly on the target and probe environment interface [14]. Here, the initial challenge was to optimize a system dependent on a large number of parameters.…”

“…The design of experiments (DOE), described as a strategy to plan research using multivariable statistic methods has been scarcely used in biology [15][16][17][18], whereas it is commonly applied to analytical chemistry processes, biosensors and drug delivery system optimization [19][20][21]14]. This study reports the application of response surface methodology (RSM) and multiple response optimization (MRO) to predict optimum experimental conditions for the hybridization of a short oligo 4 fluorescent target to QDEM-DNA probe (Fig.…”