Evidence map›Paper›PMID 40987199›Full record

ArticleUltrasonics sonochemistry2025

Mechanistic insight into the frequency-dependent ultrasound-assisted extraction of Rosa laevigata Polysaccharides: Structure, antioxidant activity, and process optimization.

Yuyuan Duan, Shuting Wang, Xiaorong Zhang, Huimei Zhang, Huizhu Wang, Shuai Chen

Abstract read
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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 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yuyuan DuanCollege of Chemistry and Pharmaceutical Engineering, Jilin University of Chemical Technology, Jilin 132022, China.
Shuting WangCollege of Chemistry and Pharmaceutical Engineering, Jilin University of Chemical Technology, Jilin 132022, China.
Xiaorong ZhangCollege of Chemistry and Pharmaceutical Engineering, Jilin University of Chemical Technology, Jilin 132022, China.
Huimei ZhangCollege of Chemistry and Pharmaceutical Engineering, Jilin University of Chemical Technology, Jilin 132022, China.
Huizhu WangCollege of Chemistry and Pharmaceutical Engineering, Jilin University of Chemical Technology, Jilin 132022, China. Electronic address: whz@jlict.edu.cn.
Shuai ChenCollege of Chemistry and Pharmaceutical Engineering, Jilin University of Chemical Technology, Jilin 132022, China; Graduate School, Jilin University of Chemical Technology, Jilin 132022, China. Electronic address: chenshuai@jlict.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rosa laevigata Michx. polysaccharide (RLMP) possess considerable bioactive potential; however, the frequency-dependent mechanisms underlying their ultrasound-assisted extraction (UAE) remain insufficiently understood. This study systematically investigated the influence of ultrasonic frequency on the extraction efficiency, structural characteristics, and antioxidant activity of RLMP, with the goal of optimizing the UAE process. Single-frequency ultrasound (SFU) at 20, 40, and 53 kHz and dual-frequency ultrasound (DFU) at 20/40 and 20/53 kHz were compared. Results demonstrated that 40 kHz SFU achieved the highest extraction yield, accompanied by higher glucose content, favorable molecular weight, and reduced protein contamination. In contrast, DFU treatments resulted in lower yields and elevated protein levels, indicating destructive wave interference rather than synergistic effects. Structural analyses further revealed that ultrasonic frequency significantly influenced monosaccharide composition, molecular weight distribution, and surface morphology, while the primary chemical structure remained unchanged. RLMP extracted at 40 kHz exhibited superior antioxidant activity, with more effective scavenging of diphenyl-1-picrylhydrazyl, 2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid), and superoxide anion radicals. Cellular antioxidant assays further confirmed its protective effects, showing a 42.83 % reduction in intracellular reactive oxygen species and enhanced superoxide dismutase activity. Comparative analyses demonstrated that UAE outperformed both hot-water extraction and microwave-assisted extraction under identical conditions. Process optimization using particle swarm optimization-support vector regression achieved higher predictive accuracy (R

Indexed as

AntioxidantsChemical FractionationPolysaccharidesRosaSonicationUltrasonic WavesMolecular WeightAntioxidantsPolysaccharidesAntioxidant activityRosa laevigata polysaccharideSupport vector regressionUltrasonic frequencyUltrasound-assisted extraction

Identifiers

PMID40987199
PMCPMC12492013

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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.