Evidence map›Paper›PMID 38472880›Full record

ArticleFoods (Basel, Switzerland)2024

Electronic Prediction of Chemical Contaminants in Aroma of Brewed Roasted Coffee and Quantification of Acrylamide Levels.

Gema Cascos, Ismael Montero-Fernández, Jhunior Abrahan Marcía-Fuentes, Ricardo S Aleman, Antonio Ruiz-Canales, Daniel Martín-Vertedor

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
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

6 citing papers in PubMed, 17 citations in OpenAlex.

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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 at 5 institutions in 3 countries.

Gema CascosTechnological Institute of Food and Agriculture (CICYTEX-INTAEX), Junta of Extremadura, Avda. Adolfo Suárez, s/n, 06007 Badajoz, Spain.
Ismael Montero-FernándezDepartment of Chemical Engineering and Physical Chemistry, Area of Chemical Engineering, Faculty of Sciences, University of Extremadura, Avda. de Elvas, s/n, 06006 Badajoz, Spain.ORCID 0000-0003-4438-9372
Jhunior Abrahan Marcía-FuentesFaculty of Technological Sciences, Universidad Nacional de Agricultura, Catacamas 16201, Olancho, Honduras.ORCID 0000-0001-8169-4523
Ricardo S AlemanSchool of Nutrition and Food Sciences, Louisiana State University Agricultural Center, Baton Rouge, LA 70803, USA.
Antonio Ruiz-CanalesEngineering Department, Polytechnic High School of Orihuela, Miguel Hernández University of Elche, 03312 Orihuela, Spain.ORCID 0000-0002-7676-1661
Daniel Martín-VertedorTechnological Institute of Food and Agriculture (CICYTEX-INTAEX), Junta of Extremadura, Avda. Adolfo Suárez, s/n, 06007 Badajoz, Spain.
Government of Extremadura · ESLouisiana State University Agricultural Center · USUniversidad de Extremadura · ESUniversidad Nacional de Agricultura · HNUniversitat de Miguel Hernández d'Elx · ES

Funding

Government of Extremadura GR21121-AGA008National Autonomous University of Honduras Ref. C-DSIP-008-2023-UNAG
6 · The paper itself

Abstract

The aim of this research was to apply an electronic device as indirect predictive technology to evaluate toxic chemical compounds in roasted espresso coffee. Fresh coffee beans were subjected to different thermal treatments and analyzed to determine volatile organic compounds, content of acrylamide and 5-hydroxymethylfurfural, sensory characteristics and electronic nose data. In total, 70 different volatile compounds were detected and grouped into 15 chemical families. The greatest percentage of these compounds were furans, pyrazines, pyridines and aldehydes. The positive aroma detected had the intensity of coffee odor and a roasted aroma, whereas the negative aroma was related to a burnt smell. A linear relationship between the toxic substances and the sensory defect was established. A high sensory defect implied a lower content of acrylamide and a higher content of 5-hydroxymethylfurfural. Finally, electronic signals were also correlated with the sensory defect. This relationship allowed us to predict the presence of these contaminants in the roasted coffee beverage with an indirect method by using this electronic device. Thus, this device may be useful to indirectly evaluate the chemical contaminants in coffee beverages according to their sensory characteristics.

Indexed as

5-hydroxymethylfurfuralacrylamideelectronic noseroasted coffeesensory analysisvolatile compounds

Identifiers

PMID38472880
PMCPMC10931032
OpenAlexW4392387128

What OpenQuestion holds

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LicenceCC BY
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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.