Evidence map›Paper›PMID 42708245›Full record

ArticleJournal of food science2026

Optimization of Ultrasound-Assisted Deep Eutectic Solvent Extraction, Characterization, and Antioxidant, Hypoglycemic, and Immunoregulatory Activities of Polysaccharide from the Ficus pumila Linn.

Yao Wen, Yumei Liao, Wanyi Zhang, Haiyun Chen

Abstract read
In one paragraph

Article in Journal of food science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yao WenSchool of Pharmacy, Guangdong Pharmaceutical University, Guangzhou, China.ORCID https://orcid.org/0000-0001-9274-2156
Yumei LiaoSchool of Pharmacy, Guangdong Pharmaceutical University, Guangzhou, China.
Wanyi ZhangSchool of Pharmacy, Guangdong Pharmaceutical University, Guangzhou, China.
Haiyun ChenSchool of Pharmacy, Guangdong Pharmaceutical University, Guangzhou, China.

Funding

Innovation and Entrepreneurship Training Programme for Undergraduates of Guangdong Pharmaceutical University S202410573004Joint Fund of Hospital and University SGYY2024A001Joint Fund of Hospital and University SY2024A01Scientific Research Projects of Guangdong Provincial Department of Education 2024ZDZX2076
6 · The paper itself

Abstract

This study focuses on the resource utilization of Ficus pumila Linn. (FPL) by valorizing its often-discarded hulls, aiming to reduce waste and enhance material value. An ultrasonic-assisted deep eutectic solvent (DES) extraction method was optimized using response surface methodology to obtain polysaccharides (FPLP). The optimal DES system was choline chloride:oxalic acid at a molar ratio of 1.5:1, DES water content of 54%, ultrasonication time of 55 min, extraction temperature of 69°C, liquid-to-solid ratio of 21:1 mL/g, and ultrasonic power of 240 W. Under these conditions, the extraction yield of FPLP reached 0.9524%. This yield was 4.44- and 1.45-fold higher than those achieved by conventional hot-water and ultrasonic-water extraction, respectively. The crude FPLP was further purified by DEAE and Sephadex G-75 chromatography to obtain a refined polysaccharide, FPLP-1. Bioactivity evaluations demonstrated that FPLP-1 exhibits in vitro antioxidant activity (ABTS·

Indexed as

AntioxidantsFicusHypoglycemic AgentsImmunologic FactorsPlant ExtractsPolysaccharidesAnimalsDeep Eutectic SolventsMiceRAW 264.7 CellsUltrasonicsAntioxidantsDeep Eutectic SolventsHypoglycemic AgentsImmunologic FactorsPlant ExtractsPolysaccharidesbiological activitiesdeep eutectic solventsFicus pumila Linnpolysaccharidesresponse surface method

Identifiers

PMID42708245
PMCPMC13551390

What OpenQuestion holds

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Registered trials

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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.