Evidence map›Paper›PMID 37960503›Full record

ArticleSensors (Basel, Switzerland)2023

Characterizing the Internal Structure of Chinese Steamed Bread during Storage for Quality Evaluation Using X-ray Computer Tomography.

Yonghui Yu, Chanchan Jia, Jiahua Wang, Fuwei Pi, Huang Dai, Xiaodan Liu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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.

Yonghui YuCollege of Food Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China.
Chanchan JiaCollege of Food Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China.
Jiahua WangCollege of Food Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China.ORCID 0000-0002-5299-6968
Fuwei PiSchool of Food Science and Technology, Jiangnan University, Wuxi 214000, China.
Huang DaiCollege of Food Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China.
Xiaodan LiuCollege of Food Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China.

Funding

the Scientific Research Project of Wuhan Polytechnic University 532100308
6 · The paper itself

Abstract

Chinese steamed bread (CSB) is a traditional food of the Chinese nation, and the preservation of its quality and freshness during storage is very important for its industrial production. Therefore, it is necessary to study the storage characteristics of CSB. Non-destructive CT technology was utilized to characterize and visualize the microstructure of CSB during storage, and also to further study of quality changes. Two-dimensional and three-dimensional images of CSBs were obtained through X-ray scanning and 3D reconstruction. Morphological parameters of the microstructure of CSBs were acquired based on CT image using image processing methods. Additionally, commonly used physicochemical indexes (hardness, flexibility, moisture content) for the quality evaluation of CSBs were analyzed. Moreover, a correlation analysis was conducted based on the three-dimensional morphological parameters and physicochemical indexes of CSBs. The results showed that three-dimensional morphological parameters of CSBs were negatively correlated with moisture content (Pearson correlation coefficient range-0.86~-0.97) and positively correlated with hardness (Pearson correlation coefficient range-0.87~0.99). The results indicate the inspiring capability of CT in the storage quality evaluation of CSB, providing a potential analytical method for the detection of quality and freshness in the industrial production of CSB.

Indexed as

BreadFood StorageSteamTomographyX-RaysSteamChinese steamed breadinternal structurequality evaluationX-ray computer tomography

Identifiers

PMID37960503
PMCPMC10648753

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