Evidence map›Paper›PMID 38974196›Full record

ArticleFood chemistry: X2024

Analysis of differences in physicochemical properties of different sorghum varieties and their influence on the selection of raw materials for winemaking.

Xin Shi, Chenming Fan, Chunmei Pan, Fangli Zhang, Xiaoge Hou, Ming Hui

Abstract read
In one paragraph

Article in Food chemistry: X, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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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

6 authors.

Xin ShiSchool of Biological Engineering, Henan University of Technology, Zhengzhou 450001, PR China.
Chenming FanSchool of Biological Engineering, Henan University of Technology, Zhengzhou 450001, PR China.
Chunmei PanCollege of Food and Biological Engineering(Liquor College), Henan University of Animal Husbandry and Economy, Zhengzhou 450046, PR China.
Fangli ZhangQIANJIU CO.,LTD, Guizhou 562400, PR China.
Xiaoge HouCollege of Food and Biological Engineering(Liquor College), Henan University of Animal Husbandry and Economy, Zhengzhou 450046, PR China.
Ming HuiSchool of Biological Engineering, Henan University of Technology, Zhengzhou 450001, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sorghum is one of the oldest crops in the world, an important grain crop in northern China, and a major raw material in the liquor-brewing industry. The physicochemical properties, cooking characteristics, and starch quality of sorghum seeds considerably affect the liquor-brewing process.To select suitable sorghums for liquor brewing and to determine the cooking characteristics and starch physicochemical properties of different sorghum varieties, 30 types of sorghum were used in this study, and their compositions were compared; six types of sorghum were further studied for their cooking quality and starch physicochemical and pasting characteristics. Gas chromatography time of flight mass spectrometry was used to analyse the cooking aroma of sorghum seeds. Additionally, scanning electron microscopy, a rapid visco analyser, and a differential calorimetric scanner were used to analyse the microstructure of sorghum starch, starch pasting characteristics, and thermodynamic properties, respectively. The results revealed that the water absorption and saccharification forces of glutinous sorghum were higher than those of japonica sorghum and that the aroma substances were significantly different. Glutinous sorghum starch had high crystallinity, freeze-thaw stability, and enthalpy, thus indicating its structural stability. This study provides a theoretical basis for the selection of wine raw materials in the future.

Indexed as

Brewing industryMaotai-flavour baijiuPhysicochemical propertiessorghumStarch characteristics

Identifiers

PMID38974196
PMCPMC11225647

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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.