Evidence map›Paper›PMID 34184340›Full record

ArticlePhytochemical analysis : PCA2022

Comprehensive characterization of naturally occurring antioxidants from the twigs of mulberry (Morus alba) using on-line high-performance liquid chromatography coupled with chemical detection and high-resolution mass spectrometry.

Steve Thomas Pannakal, Joan Eilstein, Arpita Prasad, Prashant Ekhar, Sanketh Shetty, Zhengang Peng, Eric Bordier, Samia Boudah, Lionel Paillat, Laurent Marrot and 3 more

Abstract read
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Article in Phytochemical analysis : PCA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Ultrasound-enhanced NiMikrochimica acta · 2025
    Article
  3. Review
  4. Review
  5. Rapid Chemical Profiling ofMolecules (Basel, Switzerland) · 2023
    Article
  6. Article
  7. Review
  8. 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

13 authors.

Steve Thomas PannakalAdvanced Research, L'Oréal Research and Innovation India, Bearys Global Research Triangle, Whitefield Ashram Road, Bangalore, 560067, India.
Joan EilsteinAdvanced Research, L'Oréal Research and Innovation India, Bearys Global Research Triangle, Whitefield Ashram Road, Bangalore, 560067, India.ORCID https://orcid.org/0000-0002-9695-847X
Arpita PrasadAdvanced Research, L'Oréal Research and Innovation India, Bearys Global Research Triangle, Whitefield Ashram Road, Bangalore, 560067, India.
Prashant EkharAdvanced Research, L'Oréal Research and Innovation India, Bearys Global Research Triangle, Whitefield Ashram Road, Bangalore, 560067, India.
Sanketh ShettyAdvanced Research, L'Oréal Research and Innovation India, Bearys Global Research Triangle, Whitefield Ashram Road, Bangalore, 560067, India.
Zhengang PengAdvanced Research, L'Oréal Research and Innovation China, 550 Jinyu Road, Shanghai, 201206, China.
Eric BordierAdvanced Research, L'Oréal Research and Innovation, 1 Avenue Eugène Schueller, Aulnay-Sous-Bois, 93600, France.
Samia BoudahAdvanced Research, L'Oréal Research and Innovation, 1 Avenue Eugène Schueller, Aulnay-Sous-Bois, 93600, France.
Lionel PaillatAdvanced Research, L'Oréal Research and Innovation, 1 Avenue Eugène Schueller, Aulnay-Sous-Bois, 93600, France.
Laurent MarrotAdvanced Research, L'Oréal Research and Innovation, 1 Avenue Eugène Schueller, Aulnay-Sous-Bois, 93600, France.
Laurence GarnierAdvanced Research, L'Oréal Research and Innovation, 1 Avenue Eugène Schueller, Aulnay-Sous-Bois, 93600, France.
Laurent PavanAdvanced Research, L'Oréal Research and Innovation, 1 Avenue Eugène Schueller, Aulnay-Sous-Bois, 93600, France.
Nita RoyAdvanced Research, L'Oréal Research and Innovation India, Bearys Global Research Triangle, Whitefield Ashram Road, Bangalore, 560067, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe mulberry tree (Morus alba L.) is a prolific source of biologically active compounds. There is considerable growing interest in probing M. alba twigs as a source of disruptive antioxidant lead candidates for cosmetic skin care product development.

objectiveAn integrated approach using high-performance liquid chromatography (HPLC) coupled with either chemical detection (CD) or high-resolution mass spectrometry (HRMS) was applied to the hydroalcoholic extract of M. alba to detect and identify lead antioxidant compounds, respectively. MATERIAL AND

methodsThe twigs were weighed, powdered and homogenized using a mill and the extract was prepared using 70% aqueous ethanol. The antioxidant metabolites were detected with HPLC coupled with CD (based on the ORAC assay) and their structural identification was carried out using a Q-Exactive Orbitrap MS instrument.

resultsUsing this approach, 13 peaks were detected as overall contributors to the antioxidant activity of M. alba, i.e. mulberrosides (A & E), oxyresveratrol & its derivatives, moracin & its derivatives and a dihydroxy-octadecadienoic acid, which together accounted for >90% of the antioxidant activity, highlighting the effectiveness of the integrated approach based on HPLC-CD and HPLC-HRMS. Additionally, a (3,4-dimethoxyphenyl-1-O-β-D-apiofuranosyl-(1″ → 6')-O-β-D-glucopyranoside was also discovered for the first time from the twig extract and is presented here.

conclusionTo our knowledge, this is the first report from M. alba twigs using HPLC-CD and HPLC-HRMS that identifies key compounds responsible for the antioxidant property of this native Chinese medicinal plant.

Indexed as

MorusAntioxidantsChromatography, High Pressure LiquidMass SpectrometryPlant ExtractsPlant StemsAntioxidantsPlant ExtractsantioxidantsHPLC-CDHPLC-HRMSMorus albaphytochemical analysis

Identifiers

PMID34184340
PMCPMC9292295

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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.