Evidence map›Paper›PMID 39837564›Full record

ArticlePhytochemical analysis : PCA2025

Comparison of Vegetable Waste Byproducts of Selected Cultivars of Foeniculum vulgare Mill. by an Integrated LC-(HR)MS and

Maria Assunta Crescenzi, Antonietta Cerulli, Milena Masullo, Paola Montoro, Sonia Piacente

Abstract readComparative Study
In one paragraph

Article in Phytochemical analysis : PCA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. The Analysis of Fennel (International journal of analytical chemistry · 2026
    Article
  2. 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

5 authors.

Maria Assunta CrescenziDepartment of Pharmacy, University of the Study of Salerno, Fisciano, Italy.
Antonietta CerulliDepartment of Pharmacy, University of the Study of Salerno, Fisciano, Italy.
Milena MasulloDepartment of Pharmacy, University of the Study of Salerno, Fisciano, Italy.
Paola MontoroDepartment of Pharmacy, University of the Study of Salerno, Fisciano, Italy.ORCID https://orcid.org/0000-0001-9445-6006
Sonia PiacenteDepartment of Pharmacy, University of the Study of Salerno, Fisciano, Italy.ORCID https://orcid.org/0000-0002-4998-2311

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe metabolome of plants is influenced by various factors, especially environmental, as the season in which they are grown. So, distinct varieties of the identical plant might show an increase or decrease in metabolites. The diversity of content of primary and secondary metabolites can also determine the variation in their biological properties. Due to the current occurrence of various fennel varieties, the crop can now be grown for the entire year.

objectiveThis work used an integrated approach of LC/MS and NMR analysis to characterize the metabolome of fennel waste of different varieties by multivariate statistical analysis.

methodsThe extracts were investigated by NMR and LC/MS analysis to focus attention on the primary and secondary metabolites. Both LC-HRMS and NMR data were analyzed by principal component analysis (PCA).

resultsThe

conclusionThis integrated approach guarantees a precise and complete overview of the variations in the metabolic expression of the fennel varieties grown in different seasons.

Indexed as

FoeniculumMass SpectrometryMetabolomicsProton Magnetic Resonance SpectroscopyVegetablesWaste ProductsChromatography, LiquidMagnetic Resonance SpectroscopyPrincipal Component AnalysisWaste Products1H‐NMR and HRMS‐based metabolomicsFoeniculum vulgaremultivariate data analysisvegetable waste

Identifiers

PMID39837564
PMCPMC12129718

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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.