Evidence map›Paper›PMID 38231645›Full record

ArticleFoods (Basel, Switzerland)2023

The Determination of Triacylglycerols and Tocopherols Using UHPLC-CAD/FLD Methods for Assessing the Authenticity of Coffee Beans.

Lama Ismaiel, Benedetta Fanesi, Anastasiya Kuhalskaya, Laura Barp, Sabrina Moret, Deborah Pacetti, Paolo Lucci

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Lama IsmaielDepartment of Agricultural, Food and Environmental Sciences, Università Politecnica delle Marche, 60131 Ancona, Italy.ORCID 0000-0002-9079-3467
Benedetta FanesiDepartment of Agricultural, Food and Environmental Sciences, Università Politecnica delle Marche, 60131 Ancona, Italy.
Anastasiya KuhalskayaDepartment of Agricultural, Food and Environmental Sciences, Università Politecnica delle Marche, 60131 Ancona, Italy.
Laura BarpDepartment of Agri-Food, Animal and Environmental Science, Università degli Studi di Udine, 33100 Udine, Italy.ORCID 0000-0001-5481-7030
Sabrina MoretDepartment of Agri-Food, Animal and Environmental Science, Università degli Studi di Udine, 33100 Udine, Italy.
Deborah PacettiDepartment of Agricultural, Food and Environmental Sciences, Università Politecnica delle Marche, 60131 Ancona, Italy.ORCID 0000-0002-7223-4119
Paolo LucciDepartment of Agricultural, Food and Environmental Sciences, Università Politecnica delle Marche, 60131 Ancona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The authenticity of coffee beans was addressed in this study using an analytical method with minimal sample preparation to achieve simple oil extraction and through the implementation of cost-effective equipment. For this purpose, methods using UHPLC with CAD and FLD detectors were applied to detect triglycerides and tocopherols in coffee, respectively. The coffee samples included two main varieties: Arabica from Brazil, Colombia, Ethiopia, and Uganda, as well as the Robusta variety from Cambodia, Guatemala, India, and Vietnam. The samples were either in their green state or subjected to different roasting levels. The used methods successfully distinguished the Arabica and Robusta variants targeted in this study based on their tocopherols and TAG profiles, with the latter being particularly effective for discriminating the origins of the Arabica coffee, while tocopherols excelled at differentiating the origin of the Robusta coffee. TAGs and tocopherols were not affected by the type of roasting, from medium to very dark, suggesting it is possible to distinguish between coffee varieties independently from their degree of roasting. The obtained results hold valuable implications for future research regarding coffee fraud and authenticity.

Indexed as

authenticitycharged aerosol detectorcoffee adulterationtriacylglycerolsvitamin E

Identifiers

PMID38231645
PMCPMC10706131

What OpenQuestion 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 OpenQuestion graph.