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Insight to starch retrogradation through fine structure models: A review.
- Source :
-
International Journal of Biological Macromolecules . Jul2024:Part 1, Vol. 273, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- The retrogradation of starch is crucial for the texture and nutritional value of starchy foods products. There is mounting evidence highlighting the significant impact of starch's fine structures on starch retrogradation. Because of the complexity of starch fine structure, it is a formidable challenge to study the structure-property relationship of starch retrogradation. Several models have been proposed over the years to facilitate understanding of starch structure. In this review, from the perspective of starch models, the intricate structure-property relationship is sorted into the correlation between different types of structural parameters and starch retrogradation performance. Amylopectin B chains with DP 24–36 and DP ≥36 exhibit a higher tendency to form ordered crystalline structures, which promotes starch retrogradation. The chains with DP 6–12 mainly inhibit starch retrogradation. Based on the building block backbone model, a longer inter-block chain length (IB-CL) enhances the realignment and reordering of starch. The mathematical parameterization model reveals a positive correlation between amylopectin medium chains, amylose short chains, and amylose long chains with starch retrogradation. The review is structured according to starch models; this contributes to a clear and comprehensive elucidation of the structure-property relationship, thereby providing valuable references for the selection and utilization of starch. [ABSTRACT FROM AUTHOR]
- Subjects :
- *AMYLOSE
*AMYLOPECTIN
*STARCH
*NUTRITIONAL value
Subjects
Details
- Language :
- English
- ISSN :
- 01418130
- Volume :
- 273
- Database :
- Academic Search Index
- Journal :
- International Journal of Biological Macromolecules
- Publication Type :
- Academic Journal
- Accession number :
- 178209940
- Full Text :
- https://doi.org/10.1016/j.ijbiomac.2024.132765