Evidence map›Paper›PMID 39693695›Full record

ArticleUltrasonics sonochemistry2025

Innovative CO

Nayyar Iqbal, Miral Javed, Ramy M Khoder, Areej Areej, Renyu Zheng, Shanbai Xiong, Ibrahim Khalifa, Hassan Barakat, Youming Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ultrasonics sonochemistry, 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. Review
  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

9 authors.

Nayyar IqbalCollege of Food Science and Technology/National R&D Branch Center for Conventional Freshwater Fish Processing (Wuhan), Huazhong Agricultural University, Wuhan 430070, PR. China.
Miral JavedZhejiang University Hangzhou, Zhejiang Province, 310000, China.
Ramy M KhoderCollege of Food Science and Technology/National R&D Branch Center for Conventional Freshwater Fish Processing (Wuhan), Huazhong Agricultural University, Wuhan 430070, PR. China.
Areej AreejCollege of Food Science and Technology/National R&D Branch Center for Conventional Freshwater Fish Processing (Wuhan), Huazhong Agricultural University, Wuhan 430070, PR. China.
Renyu ZhengCollege of Food Science and Technology/National R&D Branch Center for Conventional Freshwater Fish Processing (Wuhan), Huazhong Agricultural University, Wuhan 430070, PR. China.
Shanbai XiongCollege of Food Science and Technology/National R&D Branch Center for Conventional Freshwater Fish Processing (Wuhan), Huazhong Agricultural University, Wuhan 430070, PR. China.
Ibrahim KhalifaSchool of Food Science and Biological Engineering, Jiangsu University, Zhenjiang, China; Food Technology Department, Faculty of Agriculture, Benha University, Moshtohor, Toukh 13736, Egypt.
Hassan BarakatDepartment of Food Science and Human Nutrition, College of Agriculture and Food, Qassim University, Buraydah 51452, Saudi Arabia.
Youming LiuCollege of Food Science and Technology/National R&D Branch Center for Conventional Freshwater Fish Processing (Wuhan), Huazhong Agricultural University, Wuhan 430070, PR. China. Electronic address: lym@mail.hzau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was designed to obtain the maximum extraction yield of peanut shell (PS) polyphenols using a novel carbon dioxide nanobubbles (CO

Indexed as

ArachisCarbon DioxideChemical FractionationPhytochemicalsSonicationUltrasonic WavesPolyphenolsCarbon DioxidePhytochemicalsPolyphenolsCO(2)-NanobubblesHPLCPeanut shellPolyphenolsSEMUltrasonic extraction

Identifiers

PMID39693695
PMCPMC11719417

What OpenQuestion 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 OpenQuestion graph.