Evidence map›Paper›PMID 40115497›Full record

ArticleFood chemistry: X2025

Optimization ultrasonic-assisted aqueous two-phase extraction of glabridin from licorice root and its activity against the foodborne pathogen MRSA.

Qianwei Qu, Zhenxin Zhu, Mengmeng Zhao, Huiwen Wang, Wenqiang Cui, Xingyu Huang, Zhongwei Yuan, Yadan Zheng, Na Dong, Yanyan Liu and 4 more

Abstract read
In one paragraph

Article in Food chemistry: X, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Editorial Special issue:Food chemistry: X · 2026
    Article
  2. 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

14 authors.

Qianwei QuCollege of Veterinary Medicine, Northeast Agricultural University, Harbin, China.
Zhenxin ZhuCollege of Veterinary Medicine, Northeast Agricultural University, Harbin, China.
Mengmeng ZhaoCollege of Veterinary Medicine, Northeast Agricultural University, Harbin, China.
Huiwen WangCollege of Veterinary Medicine, Northeast Agricultural University, Harbin, China.
Wenqiang CuiUniversity of Chinese Academy of Sciences, Beijing, China.
Xingyu HuangCollege of Veterinary Medicine, Northeast Agricultural University, Harbin, China.
Zhongwei YuanCollege of Veterinary Medicine, Northeast Agricultural University, Harbin, China.
Yadan ZhengCollege of Veterinary Medicine, Northeast Agricultural University, Harbin, China.
Na DongThe Laboratory of Molecular Nutrition and Immunity, College of Animal Science and Technol, Northeast Agricultural University, Harbin, China.
Yanyan LiuCollege of Veterinary Medicine, Northeast Agricultural University, Harbin, China.
Haoran WangSouthern Medical University, Guangzhou, China.
Chunliu DongCollege of Veterinary Medicine, Northeast Agricultural University, Harbin, China.
Zhiyun ZhangCollege of Veterinary Medicine, Northeast Agricultural University, Harbin, China.
Yanhua LiCollege of Veterinary Medicine, Northeast Agricultural University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to extract glabridin (GLA) from licorice using an environmentally sustainable ultrasonic-assisted aqueous two-phase extraction method and to evaluate its efficacy. The extraction parameters were optimized through single-factor experiments and response surface methodology, resulting in a GLA content of 2049.51 μg/g under the conditions of 51 min ultrasonic time, 76 °C ultrasonic temperature, and 640 W ultrasonic power.

Indexed as

Aqueous two-phase extractionDisinfectionGlabridinLicoriceUltrasound-assisted extraction

Identifiers

PMID40115497
PMCPMC11924929

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.