Evidence map›Paper›PMID 40807538›Full record

ArticleFoods (Basel, Switzerland)2025

Green Extraction of Tea Polysaccharides Using Ultrasonic-Assisted Deep Eutectic Solvents and an Analysis of Their Physicochemical and Antioxidant Properties.

Haofeng Gu, Lei Liang, Yang Wei, Jiahao Wang, Yibo Ma, Jiaxin Shi, Bao Li

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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

7 authors.

Haofeng GuSchool of Modern Agriculture & Biotechnology, AnKang University, Ankang 725000, China.
Lei LiangSchool of Modern Agriculture & Biotechnology, AnKang University, Ankang 725000, China.
Yang WeiDepartment of Food Science and Engineering, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0001-8302-8903
Jiahao WangSchool of Modern Agriculture & Biotechnology, AnKang University, Ankang 725000, China.
Yibo MaSchool of Modern Agriculture & Biotechnology, AnKang University, Ankang 725000, China.
Jiaxin ShiSchool of Modern Agriculture & Biotechnology, AnKang University, Ankang 725000, China.
Bao LiSchool of Modern Agriculture & Biotechnology, AnKang University, Ankang 725000, China.

Funding

key core technology research projects of Shaanxi Provincial, China 2024NC-GJHXMiddle-aged and Young Scientific Innovation Leading Talents Program of Ankang City AK2024PD-ZQN-07SRPSE program, China 24JR001
6 · The paper itself

Abstract

In this study, the ultrasonic-assisted extraction of deep eutectic solvents (UADES) for tea polysaccharides was optimized, and their physicochemical properties and antioxidant activities were analyzed. The optimal DES comprised choline chloride (CC) and ethylene glycol (EG) in a molar ratio of 1:3, with a water content of 40%. The optimized condition was an extraction temperature of 61 °C, an ultrasonic power of 480 W, and an extraction time of 60 min. The UADES extraction rate of polysaccharides (ERP) was 15.89 ± 0.13%, significantly exceeding that of hot water (HW) extraction. The polysaccharide content in the UADES-extracted tea polysaccharides (UADESTPs) was comparable to that of hot-water-extracted tea polysaccharides (HWTPs) (75.47 ± 1.35% vs. 74.08 ± 2.51%); the UADESTPs contained more uronic acid (8.35 ± 0.26%) and less protein (12.91%) than HWTP. Most of the UADESTPs (88.87%) had molecular weights (Mw) below 1.80 × 10

Indexed as

deep eutectic solventsoxidative stresspolysaccharidesteaultrasonics

Identifiers

PMID40807538
PMCPMC12346302

What OpenQuestion holds

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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.