Evidence map›Paper›PMID 37780273›Full record

ArticleFood chemistry: X2023

Effects of milling on texture and

Meng Shen, Kai Huang, Xiao Guan, Jian Xia, Zhu Sun, Zhiquan Yu, Yong Fang

Abstract read
In one paragraph

Article in Food chemistry: X, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. 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

7 authors.

Meng ShenSchool of Health Science and Engineering, The University of Shanghai for Science and Technology, Shanghai 200093, PR China.
Kai HuangSchool of Health Science and Engineering, The University of Shanghai for Science and Technology, Shanghai 200093, PR China.
Xiao GuanSchool of Health Science and Engineering, The University of Shanghai for Science and Technology, Shanghai 200093, PR China.
Jian XiaSchool of Health Science and Engineering, The University of Shanghai for Science and Technology, Shanghai 200093, PR China.
Zhu SunInner Mongolia Yangufang Ecological Agricultural Science and Technology (Group) Co., Ltd, Inner Mongolia, PR China.
Zhiquan YuInner Mongolia Yangufang Ecological Agricultural Science and Technology (Group) Co., Ltd, Inner Mongolia, PR China.
Yong FangCollege of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210003, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compared with other oat products, consumers in China prefer oat rice and porridge made from naked oat. However, this oat product usually has poor sensory acceptance, which is directly related to the texture properties. This study aimed to use the milling method to improve the oat rice texture. The nutrient component, microstructure, pasting, and thermal properties of oat treated with different degrees of milling (0 s, 20 s, 40 s, 60 s, and 80 s) were researched. The results showed that milling would damage the bran layer of oat rice, increasing starch, β-glucan, total leached solids content, and the gelatinization enthalpy (ΔH). Meanwhile, oil, protein content, the pasting viscosity, and the pasting temperature were decreased. Milling made oat rice sticky and soft, and the bound water and non-flowing water migrated like flowing water. The cross-section of oat rice showed that milling damaged the surface of oat rice, which was beneficial to water entry and starch dissolution, and increased the viscosity of oat rice. When the milling time was 40 s and 60 s, the appearance, aroma, taste, texture, and overall acceptability of oat porridge were better. Moreover, rapid digestion fraction (k

Indexed as

In vitro starch digestibilityMillingOat riceSensoryTexture

Identifiers

PMID37780273
PMCPMC10534086

What OpenQuestion holds

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LicenceCC BY
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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.