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Process-Structure-Function in Association with the Main Bioactive of Black Rice Flour Sieving Fractions
- Bolea, Carmen Alina, Grigore-Gurgu, Leontina, Aprodu, Iuliana, Vizireanu, Camelia, Stănciuc, Nicoleta
- Foods 2019 v.8 no.4
- activation energy, albumins, anthocyanins, antioxidant activity, bioactive compounds, black rice, electrophoresis, equations, fluorescence emission spectroscopy, globulins, glutelins, grinding, ingredients, molecular weight, proximate composition, reaction kinetics, rice flour, sieving, temperature, thermal degradation, thermal properties
- The aim of this work was to advance knowledge on the potential use of black rice different sieving fractions for various functional applications, through proximate analysis, thermal degradation kinetics of phytochemical and characterization of the thermal behavior of the main proteins, from the perspectives of their use as a food ingredient. The results indicated that the thermal degradation of phytochemicals followed a first-order reaction kinetics for all the tested fractions. The temperature-dependent degradation was adequately modeled according to the Arrhenius equation. The calculated activation energies (E<inf>a</inf>) and k values were different among the four studied parameters. The kinetic parameters depended on the grinding and sieving degree, the anthocyanins being the most thermolabile compounds, thus affecting the antioxidant activity. Three protein fractions were identified by electrophoresis with different molecular weight, such as albumin, globulin, and glutelin. The fluorescence spectroscopy experiments revealed the sequential character of the heat-induced conformational changes, different molecular events being suggested, such as folding in the lower temperature range and unfolding at higher temperature. The significance of the study is evidenced by the need to identify and advance the process-structure-function relationships for various biologically active compounds from the perspective of obtaining food or ingredients nutritionally optimized.