Evidence map›Paper›PMID 39503999›Full record

ArticleJournal of natural products2025

Combining the Strengths of MS and NMR in Biochemometrics: A Case Study on

Andreas Wasilewicz, Alexander Areesanan, Benjamin Kirchweger, Sven Nicolay, Eva Waltenberger, Mehdi A Beniddir, Carsten Gründemann, Judith M Rollinger, Ulrike Grienke

Abstract read
In one paragraph

Article in Journal of natural products, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Miquelianin and spiraeoside fromFrontiers in pharmacology · 2025
    Article
  6. NMR-based metabolomics: Where are we now and where are we going?Progress in nuclear magnetic resonance spectroscopy
    Review
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

9 authors.

Andreas WasilewiczDivision of Pharmacognosy, Department of Pharmaceutical Sciences, Faculty of Life Sciences, University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria.ORCID 0000-0003-3396-5071
Alexander AreesananTranslational Complementary Medicine, Department of Pharmaceutical Sciences, University of Basel, Campus Rosental, Mattenstrasse 22, 4058 Basel, Switzerland.
Benjamin KirchwegerDivision of Pharmacognosy, Department of Pharmaceutical Sciences, Faculty of Life Sciences, University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria.
Sven NicolayTranslational Complementary Medicine, Department of Pharmaceutical Sciences, University of Basel, Campus Rosental, Mattenstrasse 22, 4058 Basel, Switzerland.
Eva WaltenbergerDivision of Pharmacognosy, Department of Pharmaceutical Sciences, Faculty of Life Sciences, University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria.
Mehdi A BeniddirÉquipe Chimie des Substances Naturelles, BioCIS, CNRS, Université Paris-Saclay, 17 Avenue des Sciences, 91400 Orsay, France.ORCID 0000-0003-2153-4290
Carsten GründemannTranslational Complementary Medicine, Department of Pharmaceutical Sciences, University of Basel, Campus Rosental, Mattenstrasse 22, 4058 Basel, Switzerland.
Judith M RollingerDivision of Pharmacognosy, Department of Pharmaceutical Sciences, Faculty of Life Sciences, University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria.ORCID 0000-0001-6581-0774
Ulrike GrienkeDivision of Pharmacognosy, Department of Pharmaceutical Sciences, Faculty of Life Sciences, University of Vienna, Josef-Holaubek-Platz 2, 1090 Vienna, Austria.ORCID 0000-0003-0305-9270

Funding

Austrian Science Fund FWF P 34028
6 · The paper itself

Abstract

Biochemometrics has emerged as promising strategy for the targeted identification of bioactive constituents from natural sources. It is based on the correlation of bioactivity data with chemical data to reveal constituents contributing to activity. Providing complementary data and structural information, MS- and NMR-based biochemometric approaches have both been separately applied in the past. The herein presented study is dedicated to the evaluation of a combined MS- and NMR-based biochemometric workflow for the unambiguous identification of bioactives. As an example, a flower extract of

Indexed as

BuddlejaAntioxidantsFlowersGlycosidesMagnetic Resonance SpectroscopyMass SpectrometryMolecular StructureNuclear Magnetic Resonance, BiomolecularPlant ExtractsTriterpenesAntioxidantsGlycosidesPlant ExtractsTriterpenes

Identifiers

PMID39503999
PMCPMC12105003

What Socratic holds

Textmetadata
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 Socratic graph.