Evidence map›Paper›PMID 35889280›Full record

ArticleMolecules (Basel, Switzerland)2022

Development and Validation of the UPLC-DAD Methodology for the Detection of Triterpenoids and Phytosterols in Fruit Samples of

Rima Sedbare, Lina Raudone, Vaidotas Zvikas, Jonas Viskelis, Mindaugas Liaudanskas, Valdimaras Janulis

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Variation in the Chemical Composition of Small Cranberry (International journal of molecular sciences · 2025
    Article
  6. Article
  7. Metabolic Response ofMicroorganisms · 2025
    Article
  8. Calcium-Induced Regulation ofJournal of fungi (Basel, Switzerland) · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Phytochemical Composition of Cranberry (Plants (Basel, Switzerland) · 2023
    Article
  16. Review
  17. Review
  18. Fractionation and Characterization of Triterpenoids fromAntioxidants (Basel, Switzerland) · 2023
    Article
  19. Article
  20. Molecules (Basel, Switzerland) · 2023
    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

6 authors.

Rima SedbareDepartment of Pharmacognosy, Faculty of Pharmacy, Lithuanian University of Health Sciences, 50166 Kaunas, Lithuania.
Lina RaudoneDepartment of Pharmacognosy, Faculty of Pharmacy, Lithuanian University of Health Sciences, 50166 Kaunas, Lithuania.ORCID 0000-0002-7324-0043
Vaidotas ZvikasLaboratory of Biopharmaceutical Research, Institute of Pharmaceutical Technologies, Lithuanian University of Health Sciences, 50166 Kaunas, Lithuania.
Jonas ViskelisInstitute of Horticulture, Lithuanian Research Centre for Agriculture and Forestry, 54333 Kaunas, Lithuania.ORCID 0000-0002-1074-8384
Mindaugas LiaudanskasDepartment of Pharmacognosy, Faculty of Pharmacy, Lithuanian University of Health Sciences, 50166 Kaunas, Lithuania.
Valdimaras JanulisDepartment of Pharmacognosy, Faculty of Pharmacy, Lithuanian University of Health Sciences, 50166 Kaunas, Lithuania.ORCID 0000-0003-1910-964X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cranberries are used in the production of medicinal preparations and food supplements, which highlights the importance of triterpene compounds determination in cranberry fruit raw material. The aim of our study was to develop and validate for routine testing suitable UPLC-DAD methodology for the evaluation of triterpene acids, neutral triterpenoids, phytosterols, and squalene content in cranberry samples. The developed and optimized UPLC-DAD methodology was validated according to the guidelines of the International Council for Harmonization (ICH), evaluating the following parameters: range, specificity, linearity (R2 > 0.999), precision, LOD (0.27−1.86 µg/mL), LOQ (0.90−6.18 µg/mL), and recovery (80−110%). The developed and validated technique was used for the evaluation of triterpenic compounds in samples of Vaccinium macrocarpon and Vaccinium oxycoccos fruits, and their peels, pulp and seeds. The studied chromatogram profiles of Vaccinium macrocarpon and Vaccinium oxycoccos were identical but differed in the areas of the analytical peaks. Ursolic acid was the dominant compound in fruit samples of Vaccinium macrocarpon and Vaccinium oxycoccos. The highest amounts of triterpenic compounds were detected in the cranberry peels samples. The developed method for the detection of triterpene compounds can be applied in further studies for routine testing on the qualitative and quantitative composition of fruit samples of Vaccinium macrocarpon and Vaccinium oxycoccos species and cultivars.

Indexed as

PhytosterolsTriterpenesVacciniumVaccinium macrocarponFruitPlant ExtractsPhytosterolsPlant ExtractsTriterpenesphytosteroltriterpenoidsUPLC-DADVaccinium macrocarponVaccinium oxycoccosvalidation

Identifiers

PMID35889280
PMCPMC9323694

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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.