Evidence map›Paper›PMID 23429347›Full record

ReviewMolecules (Basel, Switzerland)2013

Techniques for analysis of plant phenolic compounds.

Ali Khoddami, Meredith A Wilkes, Thomas H Roberts

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 249 papers.

0numbers the graph read from it
0cells of the map it votes in
249citing 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

249 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Phytochemical Diversity and Antioxidant Potential ofAntioxidants (Basel, Switzerland) · 2026
    Review
  10. Matrix-Driven Modulation of Phenolic Profiles fromMolecules (Basel, Switzerland) · 2026
    Article
  11. Article
  12. Phytochemical Profile and Antioxidant Potential ofAntioxidants (Basel, Switzerland) · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Chemopreventive Effects ofBiomedicines · 2026
    Article
  18. Potency ofThe Kobe journal of medical sciences · 2026
    Article
  19. In vitro bioactivities and molecular docking analysis of methanolic extract from Phoenix dactylifera L. (cv. Ghars) seeds.International microbiology : the official journal of the Spanish Society for Microbiology · 2026
    Article
  20. Article

189 more citing papers are in PubMed but not listed here.

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

3 authors.

Ali KhoddamiDepartment of Plant and Food Sciences, University of Sydney, Sydney NSW 2006, Australia.
Meredith A Wilkes
Thomas H Roberts

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phenolic compounds are well-known phytochemicals found in all plants. They consist of simple phenols, benzoic and cinnamic acid, coumarins, tannins, lignins, lignans and flavonoids. Substantial developments in research focused on the extraction, identification and quantification of phenolic compounds as medicinal and/or dietary molecules have occurred over the last 25 years. Organic solvent extraction is the main method used to extract phenolics. Chemical procedures are used to detect the presence of total phenolics, while spectrophotometric and chromatographic techniques are utilized to identify and quantify individual phenolic compounds. This review addresses the application of different methodologies utilized in the analysis of phenolic compounds in plant-based products, including recent technical developments in the quantification of phenolics.

Indexed as

Analytic Sample Preparation MethodsChemistry Techniques, AnalyticalPhenolsPlantsPhenols

Identifiers

PMID23429347
PMCPMC6270361

What OpenQuestion 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 OpenQuestion graph.