Literature DB >> 28363538

Biophysical features of cereal endosperm that decrease starch digestibility.

Laura Roman1, Manuel Gomez2, Cheng Li3, Bruce R Hamaker3, Mario M Martinez4.   

Abstract

The influence of the physical structure of cereal endosperm on the natural structural integrity (intact cells) and starch bioaccessibility of the resultant flours was studied using maize as example. Endosperm hardness, defined by its intracellular (protein matrix) and extracellular (cell walls) constituents, affected the granular and molecular damage of the starch of the resultant flours leading to higher digestibility of raw hard than soft endosperm flours, but comparatively lower digestibility after cooking. After milling, hard endosperm possessed more damaged starch (radial splitting of amylopectin clusters) in the periphery of the resultant particles that increased in vitro starch digestibility of raw flours. Conversely, the hard endosperm plant tissue matrix significantly limited water availability and heat transfer on starch gelatinisation, thereby decreasing the digestion rate after hydrothermal processing (in particle size flours >80μm). This study provides a unique mechanistic understanding to obtain cereal flours with slow digestion property for commercial utilisation.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cell walls; Digestion; Endosperm; Flour; Maize; Plant tissue; Starch

Mesh:

Substances:

Year:  2017        PMID: 28363538     DOI: 10.1016/j.carbpol.2017.02.055

Source DB:  PubMed          Journal:  Carbohydr Polym        ISSN: 0144-8617            Impact factor:   9.381


  3 in total

1.  Structural characteristics and digestibility of bovine skin protein and corn starch extruded blend complexes.

Authors:  Fuge Niu; Mengya Li; Jiamei Fan; Mengxuan Kou; Beijing Han; Weichun Pan
Journal:  J Food Sci Technol       Date:  2019-10-24       Impact factor: 2.701

2.  Color, Starch Digestibility, and In Vitro Fermentation of Roasted Highland Barley Flour with Different Fractions.

Authors:  Zixuan Zhao; Jian Ming; Guohua Zhao; Lin Lei
Journal:  Foods       Date:  2022-01-21

3.  Modeling Based Identifiability and Parametric Estimation of an Enzymatic Hydrolysis Process of Amylaceous Materials.

Authors:  Daniel Padierna-Vanegas; Juan Camilo Acosta-Pavas; Laura María Granados-García; Héctor Antonio Botero-Castro
Journal:  ACS Omega       Date:  2022-04-20
  3 in total

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