Evidence map›Paper›PMID 39840248›Full record

ReviewFood science of animal resources2025

Application of Ultrasound to Animal-Based Food to Improve Microbial Safety and Processing Efficiency.

Prabhathma Yasasvi Rathnayake, Rina Yu, So Eun Yeo, Yun-Sang Choi, Seonae Hwangbo, Hae In Yong

Abstract readReview
In one paragraph

Review in Food science of animal resources, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
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.

Prabhathma Yasasvi RathnayakeDivision of Animal and Dairy Sciences, Chungnam National University, Daejeon 34134, Korea.ORCID https://orcid.org/0000-0003-0667-0243
Rina YuDivision of Animal and Dairy Sciences, Chungnam National University, Daejeon 34134, Korea.ORCID https://orcid.org/0009-0005-7233-483X
So Eun YeoDivision of Animal and Dairy Sciences, Chungnam National University, Daejeon 34134, Korea.ORCID https://orcid.org/0009-0008-1843-425X
Yun-Sang ChoiResearch Group of Food Processing, Korea Food Research Institute, Wanju 55365, Korea.ORCID https://orcid.org/0000-0001-8060-6237
Seonae HwangboR&D Center, FUST Lab Co., Ltd., Daejeon 34015, Korea.ORCID https://orcid.org/0009-0004-1746-0385
Hae In YongDivision of Animal and Dairy Sciences, Chungnam National University, Daejeon 34134, Korea.ORCID https://orcid.org/0000-0003-0970-4496

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal-based foods such as meat, dairy, and eggs contain abundant essential proteins, vitamins, and minerals that are crucial for human nutrition. Therefore, there is a worldwide growing demand for animal-based products. Since animal-based foods are vital resources of nutrients, it is essential to ensure their microbial safety which may not be ensured by traditional food preservation methods. Although thermal food preservation methods ensure microbial inactivation, they may degrade the nutritional value, physicochemical properties, and sensory qualities of food. Consequently, non-thermal, ultrasound food preservation methods are used in the food industry to evaluate food products and ensure their safety. Ultrasound is the sound waves beyond the human audible range, with frequencies greater than 20 kHz. Two types of ultrasounds can be used for food processing: low-frequency, high-intensity (20-100 kHz, 10-1,000 W/cm

Indexed as

antimicrobial effectdairy productmeat productprocessing propertiesultrasound

Identifiers

PMID39840248
PMCPMC11743837

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.