Evidence map›Paper›PMID 35581215›Full record

ArticleScientific reports2022

Purification, characterization, and determination of biological activities of water-soluble polysaccharides from Mahonia bealei.

Mohib Ullah Kakar, Jingyi Li, Muhammad Zubair Mehboob, Rokayya Sami, Nada Benajiba, Aziz Ahmed, Amina Nazir, Yulin Deng, Bo Li, Rongji Dai

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.4field-weighted citation impact, top 9% of its field
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

9 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Efficient Separation of Proteins and Polysaccharides fromMolecules (Basel, Switzerland) · 2022
    Article
  9. 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

10 authors at 5 institutions in 3 countries.

Mohib Ullah KakarBeijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceutical, School of Life Sciences, Beijing Institute of Technology (BIT), Beijing, 100081, China.
Jingyi LiBeijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceutical, School of Life Sciences, Beijing Institute of Technology (BIT), Beijing, 100081, China.
Muhammad Zubair MehboobCAS Centre for Excellence in Biotic Interaction, College of Life Sciences, University of Chinese Academy of Science, Beijing, 100049, China.
Rokayya SamiDepartment of Food Science and Nutrition, College of Sciences, Taif University, P.O. 11099, Taif, 21944, Saudi Arabia.
Nada BenajibaDepartment of Basic Health Sciences, Deanship of Preparatory Year, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
Aziz AhmedFaculty of Marine Sciences, Lasbela University of Agriculture, Water and Marine Sciences, (LUAWMS), Uthal, Balochistan, Pakistan.
Amina NazirInstitute of Animal Science and Veterinary Medicine, Shandong Academy of Agricultural Sciences, Jinan Industry North Road 202, Jinan, Shandong Province, China.
Yulin DengBeijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceutical, School of Life Sciences, Beijing Institute of Technology (BIT), Beijing, 100081, China.
Bo LiBeijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceutical, School of Life Sciences, Beijing Institute of Technology (BIT), Beijing, 100081, China. boli@bit.edu.cn.
Rongji DaiBeijing Key Laboratory for Separation and Analysis in Biomedicine and Pharmaceutical, School of Life Sciences, Beijing Institute of Technology (BIT), Beijing, 100081, China. dairongji@bit.edu.cn.
Beijing Institute of Technology · CNLasbela University of Agriculture Water and Marine Science · PKPrincess Nourah bint Abdulrahman University · SAShandong Academy of Agricultural Sciences · CNTaif University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mahonia bealei is one of the important members of the genus Mahonia and Traditional Chinese Medicine (TCM). Several compounds isolated from this plant have exhibited useful biological activities. Polysaccharides, an important biomacromolecule have been underexplored in case of M. bealei. In this study, hot water extraction and ethanol precipitation were used for the extraction of polysaccharides from the stem of M. bealei, and then extract was purified using ultrafiltration membrane at 50,000 Da cut off value. Characterization of the purified M. bealei polysaccharide (MBP) was performed using Fourier Transform Infrared Spectroscopy (FT-IR), along with Scanning Electron Microscopy (SEM), X-ray crystallography XRD analysis and Thermal gravimetric analysis (TGA). The purified polysaccharide MBP was tested for antioxidant potential by determining its reducing power, besides determining the DPPH, ABTS, superoxide radical, and hydroxyl radical scavenging along with ferrous ion chelating activities. An increased antioxidant activity of the polysaccharide was reported with increase in concentration (0.5 to 5 mg/ml) for all the parameters. Antimicrobial potential was determined against gram positive and gram-negative bacteria. 20 µg/ml MBP was found appropriate with 12 h incubation period against Escherichia coli and Bacillus subtilis bacteria. We conclude that polysaccharides from M. bealei possess potential ability of biological importance; however, more studies are required for elucidation of their structure and useful activities.

Indexed as

BerberisMahoniaAntioxidantsFree Radical ScavengersPolysaccharidesSpectroscopy, Fourier Transform InfraredWaterAntioxidantsFree Radical ScavengersPolysaccharidesWater

Identifiers

PMID35581215
PMCPMC9114413
OpenAlexW4280512383

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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.