Evidence map›Paper›PMID 40905024›Full record

ArticleFood science & nutrition2025

Optimization of Enzymatic Parameters for Enhancing Branch Density and Flow Properties of Sweet Potato Starch.

Yang Jiao, Pengtao Wang, Lei Niu, Rong Ai, Liyun Xin, Aili Song, Guoxing Yang, Kai Zhang

Abstract read
In one paragraph

Article in Food science & nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yang JiaoCollege of Life Science and Engineering Hexi University Zhangye Gansu Province China.
Pengtao WangCollege of Life Science and Engineering Hexi University Zhangye Gansu Province China.
Lei NiuCollege of Life Science and Engineering Hexi University Zhangye Gansu Province China.
Rong AiCollege of Life Science and Engineering Hexi University Zhangye Gansu Province China.
Liyun XinCollege of Life Science and Engineering Hexi University Zhangye Gansu Province China.
Aili SongCollege of Life Science and Engineering Hexi University Zhangye Gansu Province China.
Guoxing YangGulang Tianyuan Agricultural Industry co., Ltd. Wuwei Gansu Province China.
Kai ZhangCollege of Life Science and Engineering Hexi University Zhangye Gansu Province China.ORCID https://orcid.org/0000-0003-4271-3968

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enhancing the branch density of starch through enzymatic modification is critical for improving its functional properties in various industrial applications. This study optimized the sequential enzymatic treatment of sweet potato starch using α-amylase (AA), β-amylase (BA), and transglucosidase (TG) to maximize the degree of branching (DB). Response Surface Methodology (RSM) was employed to evaluate the synergistic effects of enzyme concentrations and hydrolysis durations, identifying optimal conditions: AA (20.00 U/g, 9.01 h), BA (3.00 U/g, 5.03 h), and TG (2179.06 U/g, 9.00 h). Under these conditions, the DB reached 53.38%, which was within 2.53% of the predicted value (55.91%). Structural analyses via XRD and FTIR revealed reduced crystallinity, indicating disrupted molecular order. The modified starches exhibited significantly enhanced solubility compared to native starch, particularly those with DB values above 40%, attributed to shorter glucan chains and inhibited amylose recrystallization. Rheological studies demonstrated shear-thinning behavior and diminished viscoelasticity, suggesting improved flow properties for low-viscosity applications. These findings highlight the efficacy of enzymatic combinatorial modification in tailoring starch functionality, offering a promising approach for producing high-branch-density starches with enhanced flow and solubility properties for use in sauces, beverages, and biodegradable films.

Indexed as

branch densityenzymatic modificationresponse surface methodologyrheological propertiessweet potato starch

Identifiers

PMID40905024
PMCPMC12402398

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.