Evidence map›Paper›PMID 38860156›Full record

ArticleFrontiers in nutrition2024

Structural and physicochemical properties of rice starch from a variety with high resistant starch and low amylose content.

Xue Gu, Peng Wang, Juyuan Huang, Shuangqin Chen, Dandan Li, Shihuang Pu, Juan Li, Jiancheng Wen

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Acute Effects ofFoods (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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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

8 authors.

Xue Gu *Rice Research Institute, Yunnan Agricultural University, Kunming, China.
Peng Wang *Rice Research Institute, Yunnan Agricultural University, Kunming, China.
Juyuan HuangRice Research Institute, Yunnan Agricultural University, Kunming, China.
Shuangqin ChenRice Research Institute, Yunnan Agricultural University, Kunming, China.
Dandan LiRice Research Institute, Yunnan Agricultural University, Kunming, China.
Shihuang PuRice Research Institute, Yunnan Agricultural University, Kunming, China.
Juan LiRice Research Institute, Yunnan Agricultural University, Kunming, China.
Jiancheng WenRice Research Institute, Yunnan Agricultural University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on the physicochemical properties of rice-derived endo-sperm high resistant starch (RS) with low amylose content (AC) is limited. In this study, we evaluated the physicochemical characteristics of such a starch variety and revealed that the starch granules exhibit a smoother, more refined surface with distinct edges, increased compactness, higher order of surface, and fewer cavities compared to those of a low RS rice variety. The starch crystal was classified as an A-type, which may be connected to the high amylose-lipid complex content. The branched internal long chains (B2 + B3) were abundant, allowing for easy entanglement with other molecular chains and a compact structure. Differential scanning calorimetry revealed the need for high temperature and energy to disrupt the double helix structure within the crystallization region of starch. Furthermore, starch viscosity analysis revealed a high cold paste viscosity, consistency, and setback value, with recrystallization yielding a stable structure, increased viscosity, and enhanced hydrolysis resistance to enzymes.

Indexed as

physicochemical propertiesresistant starchrice varietiesstarch digestion characteristicsstarch structure

Identifiers

PMID38860156
PMCPMC11163103

What OpenQuestion holds

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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.