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An improved approach for evaluating the semicrystalline lamellae of starch granules by synchrotron SAXS

Lookup NU author(s): Professor David XieORCiD

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

A fitting method combined with a linear correlation function was developed as an improved approach for the SAXS analysis of the semicrystalline lamellae of starch granules. Using a power-law function with two Gaussian plus Lorentz functions, the SAXS pattern was resolved into sub-patterns of the net lamellar peak and the power-law scattering plus scattering background (PL + B). The ratio of the net lamellar peak area (Apeak) to the total scattering area (Atotal) was proposed equal to the proportion of the lamellae within the starch granule (PSL). Along with this fitting method, we obtained a better profile of linear correlation function, with the elimination of the interference of non-lamellar amorphous starch (i.e., amorphous growth rings). Then, we could accurately calculate the lamellar parameters, e.g., PSL, the thicknesses of semicrystalline (d), crystalline (dc) and amorphous (da) lamellae, and the volume fraction (φc) of crystalline lamellae within semicrystalline lamellae. Quantitative analysis revealed that PSL was positively correlated with the crystallinity (Xc) of starch. It was confirmed that the distribution of lamellar thickness was more important than the starch botanical origin in affecting the validity of the developed fitting method. We also proposed a criterion to test the validity of the proposed method. Specifically, the total SAXS pattern should be mostly tangent to the profile of PL + B at a high q tail (close to 0.2 Å−1).


Publication metadata

Author(s): Zhang B, Xie F, Wang DK, Qiao D, Zhao S, Niu M, Xiong S, Jiang F, Zhu J, Yu L

Publication type: Article

Publication status: Published

Journal: Carbohydrate Polymers

Year: 2017

Volume: 158

Pages: 29-36

Print publication date: 20/02/2017

Online publication date: 02/12/2016

Acceptance date: 01/12/2016

Date deposited: 31/08/2023

ISSN (print): 0144-8617

ISSN (electronic): 1879-1344

Publisher: Elsevier

URL: https://doi.org/10.1016/j.carbpol.2016.12.002

DOI: 10.1016/j.carbpol.2016.12.002


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Funding

Funder referenceFunder name
201602
2014FJ1008
201604
2016CFB142
2662016QD008
31401586
31501520
Fundamental Research Funds for the Central Universities
Hunan Province Science and Technology Key Project
Hubei Provincial Natural Science Foundation of China
National Natural Science Foundation of China
Open Project Program of Provincial Key Laboratory of Green Processing Technology and Product Safety of Natural Products

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