Evidence map›Paper›PMID 33887661›Full record

ArticleUltrasonics sonochemistry2021

High-intensity ultrasound improves the physical stability of myofibrillar protein emulsion at low ionic strength by destroying and suppressing myosin molecular assembly.

Haotian Liu, Jingnan Zhang, Hui Wang, Qian Chen, Baohua Kong

Abstract read
In one paragraph

Article in Ultrasonics sonochemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 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

5 authors.

Haotian LiuCollege of Food Science, Northeast Agricultural University, Harbin, Heilongjiang 150030, China.
Jingnan ZhangCollege of Food Science, Northeast Agricultural University, Harbin, Heilongjiang 150030, China.
Hui WangCollege of Food Science, Northeast Agricultural University, Harbin, Heilongjiang 150030, China.
Qian ChenCollege of Food Science, Northeast Agricultural University, Harbin, Heilongjiang 150030, China. Electronic address: chenqianego7@126.com.
Baohua KongCollege of Food Science, Northeast Agricultural University, Harbin, Heilongjiang 150030, China. Electronic address: kongbh63@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The specific molecular behavior of myofibrillar proteins (MPs) in low-salt media limits the development of muscle protein-based emulsions. This study aimed to evaluate the potential of high-intensity ultrasound (HIU; 150, 300, 450, and 600 W) to improve the physical stability of MP emulsion at low ionic strength and decipher the underlying mechanism. According to the physical stability analysis, HIU pretreatment, especially at 450 W power, significantly improved the physical stability of MP emulsions, as evidenced by the reduced particle size, enhanced inter-droplet interactions, and increased uniformity of the droplet size distribution (p < 0.05). The results of interfacial protein composition, Fourier transform infrared spectroscopy analysis, and microscopic morphology observation of the aqueous MP suspension suggested that HIU induced the depolymerization of filamentous myosin polymers and inhibited the subsequent self-assembly behavior. These effects may facilitate protein adsorption and molecular rearrangement at the oil-water interface, forming a complete interfacial layer and, thus, droplet stabilization. Confocal laser scanning microscopy observations further confirmed these results. In conclusion, these findings provide direct evidence for the role of HIU in improving the physical stability of MP emulsions at low ionic strength.

Indexed as

Ultrasonic WavesEmulsionsMuscle ProteinsMyosinsOsmolar ConcentrationProtein StabilityWaterEmulsionsMuscle ProteinsMyosinsWaterEmulsionHigh-intensity ultrasoundLow ionic strengthMyofibrillar proteinPhysical stability

Identifiers

PMID33887661
PMCPMC8091063

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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.