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通过精细结构模型洞察淀粉回生:综述。

Insight to starch retrogradation through fine structure models: A review.

机构信息

College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China; National Engineering Research Center for Fruits and Vegetables Processing, Beijing 100083, China.

College of Life Sciences, Qingdao University, Qingdao 266071, China.

出版信息

Int J Biol Macromol. 2024 Jul;273(Pt 1):132765. doi: 10.1016/j.ijbiomac.2024.132765. Epub 2024 May 30.

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.

摘要

淀粉的回生对淀粉类食品的质构和营养价值至关重要。越来越多的证据强调了淀粉精细结构对淀粉回生的显著影响。由于淀粉精细结构的复杂性,研究淀粉回生的结构-性能关系具有很大的挑战性。多年来已经提出了几种模型来帮助理解淀粉结构。在这篇综述中,从淀粉模型的角度出发,将复杂的结构-性能关系分类为不同类型结构参数与淀粉回生性能之间的相关性。直链淀粉 DP24-36 和 DP≥36 的 B 链具有形成有序晶体结构的较高趋势,从而促进淀粉回生。DP6-12 的链主要抑制淀粉回生。基于构建块主链模型,较长的链间链长(IB-CL)增强了淀粉的重排和重排。数学参数化模型揭示了支链淀粉中链、直链淀粉短链和长链与淀粉回生之间的正相关关系。综述根据淀粉模型进行构建,有助于清晰全面地阐明结构-性能关系,为淀粉的选择和利用提供有价值的参考。

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