Literature DB >> 32194108

Further insights into the evolution of starch assembly during retrogradation using SAXS.

Lulu Zhang1, Xiaoxi Li2, Srinivas Janaswamy3, Ling Chen1, Chengdeng Chi4.   

Abstract

A new and effective method for evaluating the reassembly of starch molecules at large scale (>2 nm) during retrogradation has been developed based on the small angle X-ray scattering (SAXS) technique. The SAXS curves fitted by the Cauchy plus Power-law functions are decomposed into peak- and non-peak-derived sub-patterns. The peak-derived patterns are used for calculating (i) the size of ordered aggregate structures (d) using Lorentz correction and (ii) the proportion of ordered structures within starch samples (Rpeak) by estimating the ratio of the area under the peak-derived sub-pattern (Speak) to the total area under SAXS curve. The Imax and fractal-like dimension (α) of the scattering aggregates (the fitted parameters of SAXS curve), d, Speak, Snon-peak (the area under the non-peak-derived sub-pattern) and Rpeak change as a function of retrogradation time. Importantly, the Snon-peak interrogates the continuous reduction of amorphous starch molecules during the aging, SAXS parameters including α and d describe starch ordered aggregate structures with larger scale than 2 nm are fitted well with pseudo Avrami equation. The SAXS in this study can be used to unravel the evolution of both amorphous starch structures and ordered aggregates with larger scale during retrogradation.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Amorphous structures; Molecular reassembly; Ordered aggregate structures; SAXS; Starch retrogradation

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Year:  2020        PMID: 32194108     DOI: 10.1016/j.ijbiomac.2020.03.135

Source DB:  PubMed          Journal:  Int J Biol Macromol        ISSN: 0141-8130            Impact factor:   6.953


  1 in total

1.  Microwave Cooking Enriches the Nanoscale and Short/Long-Range Orders of the Resulting indica Rice Starch Undergoing Storage.

Authors:  Qing Xiong; Dongling Qiao; Meng Niu; Yan Xu; Caihua Jia; Siming Zhao; Nannan Li; Binjia Zhang
Journal:  Foods       Date:  2022-02-10
  1 in total

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