Evidence map›Paper›PMID 42794082›Full record

ArticleFoods (Basel, Switzerland)2026

Reconstituted Rice with Low-Glycemic-Index Potential as an Alternative to Polished Rice: Structural, Cooking, Nutritional, and In Vitro Digestibility Attributes.

Yongzheng Hu, Qiuxia Shen, Lin Yang, Mingyuan Li

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yongzheng HuSchool of Food and Bioengineering, Xihua University, Chengdu 610039, China.
Qiuxia ShenCollege of Light Industry and Engineering, Sichuan Technology and Business College, Dujiangyan 611830, China.
Lin YangSchool of Food and Bioengineering, Xihua University, Chengdu 610039, China.
Mingyuan LiSchool of Food and Bioengineering, Xihua University, Chengdu 610039, China.

Funding

Sichuan Province Science and Technology Program 2021YFN0013
6 · The paper itself

Abstract

Polished rice is a global staple with a high glycemic index (GI), which makes it unsuitable for patients with diabetes. Functional rice reconstitution offers an effective technological approach for producing a low-GI nutritional staple. Konjac powder (KP), mulberry leaf extract (MLE), pueraria powder (PP), and resistant starch (RS) are functional ingredients that reduce the carbohydrate content of staple foods and attenuate postprandial blood glucose fluctuations. In this study, we developed three reconstituted rice formulations with low estimated glycemic index (eGI) using varying proportions of KP, MLE, PP, and RS, and investigated their nutritional composition, microstructure, cooking and textural properties, amino acid profile, volatile compounds, sensory quality, and in vitro starch digestibility. The functional ingredients increased dietary fiber and RS, formed a dense starch-colloid gel network with enhanced hydrogen bonding, improved cooking quality and texture, preserved the amino acid profile, enriched flavor, and achieved good sensory acceptability. Among the formulations, the MLE-high RS (MHR) formulation (80.0% rice, 9.0% KP, 0.5% MLE, 2.0% PP, and 8.5% RS) exhibited the lowest eGI as determined via in vitro digestion. Overall, this study provides theoretical and technical support for the development and industrial application of functional reconstituted rice with reduced starch digestibility.

Indexed as

extrusionfunctional reconstituted ricelow glycemic effectnutritional characteristics

Identifiers

PMID42794082
PMCPMC13606404

What OpenQuestion holds

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Registered trials

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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.