Evidence map›Paper›PMID 35053911›Full record

ArticleFoods (Basel, Switzerland)2022

Emulsion Surimi Gel with Tunable Gel Properties and Improved Thermal Stability by Modulating Oil Types and Emulsification Degree.

Shichen Zhu, Xiaocao Chen, Jiani Zheng, Wenlong Fan, Yuting Ding, Xuxia Zhou

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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.

Shichen ZhuCollege of Food Science and Technology, Zhejiang University of Technology, Hangzhou 310014, China.ORCID 0000-0001-6895-559X
Xiaocao ChenCollege of Food Science and Technology, Zhejiang University of Technology, Hangzhou 310014, China.
Jiani ZhengZhejiang Yufu Food Co., Ltd., Hangzhou 310014, China.
Wenlong FanZhejiang Yufu Food Co., Ltd., Hangzhou 310014, China.
Yuting DingCollege of Food Science and Technology, Zhejiang University of Technology, Hangzhou 310014, China.
Xuxia ZhouCollege of Food Science and Technology, Zhejiang University of Technology, Hangzhou 310014, China.

Funding

National Key R&D Program of China National Key R&D Program of ChinaNational Science Foundation of China 32172241Natural Science Foundation of Zhejiang Province, China LQ21C200006
6 · The paper itself

Abstract

High resistance to heating treatments is a prerequisite for ready-to-eat (RTE) surimi products. In this study, emulsion-formulated surimi gels were prepared, and the effects of oil types and emulsification degrees on the thermal stability of surimi gel were investigated. The results showed the gel properties of surimi gels were modulated by oil types and emulsification degrees. In detail, the rising pre-emulsification ratio caused the increase of the emulsifying activity index (EAI) and decrease of emulsifying stability index (ESI) for both emulsions. The larger droplet sizes of perilla seed oil than soybean oil may be responsible for their emulsifying stability difference. The gel strength, water retention, dynamic modulus and texture properties of both kinds of surimi gels displayed a firstly increased and then decreased tendency with the rising pre-emulsification ratios. The peak values were obtained as perilla seed oil emulsion with emulsification ratio of 20% group (P1) and soybean oil emulsion with emulsification ratio of 40% group (S2), respectively. Anyway, all emulsion gels showed higher thermal stability than the control group regardless of oil types. Similar curves were also obtained for the changes of hydrogen bond, ionic bond and hydrophobic interactions. Overall, perilla seed oil emulsion with emulsification ratio of 20% (P1 group) contributed to the improved thermal stability of surimi gels.

Indexed as

emulsification degreegel propertiesoil typessurimi gelthermal stability

Identifiers

PMID35053911
PMCPMC8774618

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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.