Evidence mapPaperPMID 39846348Full record

ArticleJournal of separation science2025

A Cost-Effective Nonaqueous Reversed-Phase High-Performance Liquid Chromatography Method to Measure Vitamin D3 in Hen's Egg Yolk.

Ina Varfaj, Alice Cartoni Mancinelli, Anna Migni, Laura Mercolini, Cesare Castellini, Francesco Galli, Desirée Bartolini, Roccaldo Sardella

Abstract read
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Article in Journal of separation science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Ina VarfajDepartment of Pharmaceutical Sciences, University of Perugia, Perugia, Italy.ORCID https://orcid.org/0000-0003-4905-7115
Alice Cartoni MancinelliDepartment of Agricultural, Food and Environmental Sciences, University of Perugia, Perugia, Italy.
Anna MigniDepartment of Pharmaceutical Sciences, University of Perugia, Perugia, Italy.
Laura MercoliniDepartment of Pharmacy and Biotechnology (FaBiT), Alma Mater Studiorum-University of Bologna, Bologna, Italy.ORCID https://orcid.org/0000-0002-0644-9461
Cesare CastelliniDepartment of Agricultural, Food and Environmental Sciences, University of Perugia, Perugia, Italy.
Francesco GalliDepartment of Pharmaceutical Sciences, University of Perugia, Perugia, Italy.
Desirée BartoliniDepartment of Pharmaceutical Sciences, University of Perugia, Perugia, Italy.
Roccaldo SardellaDepartment of Pharmaceutical Sciences, University of Perugia, Perugia, Italy.ORCID https://orcid.org/0000-0001-9856-0230

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study is to develop an HPLC-UV method for the cost-effective and quantitative determination of vitamin D3 in food, even in the presence of vitamin D2, with a specific focus on egg yolk. During method development, the performance of three stationary phases in resolving the peak of vitamin D2 from that of vitamin D3 was investigated. The physicochemical properties of these phases differed particularly in the extent of hydrophobicity and silanophilic activity, including a GraceSmart RP C18 column without silanol endcapping, a Robusta RP C18 column with silanol endcapping, and a Waters Xbridge RP C18 column with ethylene-bridged hybrid (BEH) particle technology. The Xbridge C18 stationary phase exhibited the most favorable performance, leading to an R

Indexed as

CholecalciferolChromatography, Reverse-PhaseEgg YolkAnimalsChickensChromatography, High Pressure LiquidCost-Benefit AnalysisCholecalciferolHPLC column screeningmethod validationquantitative analysissilanol activityspectrophotometric detection

Identifiers

PMID39846348
PMCPMC11755696

What Socratic holds

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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 Socratic graph.