Evidence map›Paper›PMID 39796326›Full record

ArticleFoods (Basel, Switzerland)2024

Yolk and Casein Sequence Self-Assembly for Low-Oil Emulsion Gel and Its Application in Low-Fat Mayonnaise.

Anqi Bi, Beiwei Zhu, Ning Cong, Ming Du, Chao Wu, Ling Zhang, Yan Guo, Tingting Cheng, Pei Yu, Xianbing Xu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Anqi BiNational Engineering Research Center of Seafood, Collaborative Innovation Center of Provincial and Ministerial Co-construction for Seafood Deep Processing, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China.
Beiwei ZhuNational Engineering Research Center of Seafood, Collaborative Innovation Center of Provincial and Ministerial Co-construction for Seafood Deep Processing, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China.
Ning CongNational Engineering Research Center of Seafood, Collaborative Innovation Center of Provincial and Ministerial Co-construction for Seafood Deep Processing, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China.
Ming DuNational Engineering Research Center of Seafood, Collaborative Innovation Center of Provincial and Ministerial Co-construction for Seafood Deep Processing, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China.ORCID 0000-0001-5872-8529
Chao WuNational Engineering Research Center of Seafood, Collaborative Innovation Center of Provincial and Ministerial Co-construction for Seafood Deep Processing, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China.
Ling ZhangNational Engineering Research Center of Seafood, Collaborative Innovation Center of Provincial and Ministerial Co-construction for Seafood Deep Processing, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China.
Yan GuoDalian Kowa Foods Co., Ltd., Dalian 116034, China.
Tingting ChengDalian Kowa Foods Co., Ltd., Dalian 116034, China.
Pei YuCollege of Food Science and Engineering, Dalian Ocean University, Dalian 116023, China.
Xianbing XuNational Engineering Research Center of Seafood, Collaborative Innovation Center of Provincial and Ministerial Co-construction for Seafood Deep Processing, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China.

Funding

National Natural Science Foundation of China 32101984the Scientific Research Fund Project of Education Department of Liaoning Province LJKQZ20222381
6 · The paper itself

Abstract

High dietary fat food such as mayonnaise (70-80% oil content) can induce obesity and cardiovascular diseases, thus reducing their oil content is required. However, the development of low-fat mayonnaise is still a big challenge since reducing oil content will increase the fluidity, induce phase separation and decrease the stability of mayonnaise. Herein, we provide a novel strategy for developing yolk-casein-based low-fat mayonnaise (30% oil content) with a similar texture to commercial high-fat mayonnaise through post-acidification. Unexpectedly, compared with pre-acid-treated low-fat mayonnaise, the G' and viscosity of the post-acid-treated low-fat mayonnaise were significantly improved by 77.80% and 90.18%, respectively. The semisolid properties required for low-fat mayonnaise were realized by forming a dense yolk-casein self-assembly network structure. This study provides a novel perspective for constructing edible soft-solid products with low fat intake.

Indexed as

caseinlow-fat mayonnaisepost-acid treatmentyolk

Identifiers

PMID39796326
PMCPMC11720323

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.