Evidence map›Paper›PMID 37959042›Full record

ArticleFoods (Basel, Switzerland)2023

Raman Spectroscopic and Sensory Evaluation of Cocoa Liquor Prepared with Ecuadorian Cocoa Beans Treated with Gamma Irradiation or Induced Electromagnetic Field Fermentation.

Tania María Guzmán-Armenteros, Jenny Ruales, Cristina Cuesta-Plúa, Juan Bravo, Marco Sinche, Edwin Vera, Edison Vera, Paul Vargas-Jentzsch, Valerian Ciobotă, Fernando E Ortega-Ojeda and 3 more

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 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. Article
  2. 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

13 authors.

Tania María Guzmán-ArmenterosDepartamento de Ciencia de Alimentos y Biotecnología, Facultad de Ingeniería Química y Agroindustria, Escuela Politécnica Nacional (EPN), Quito 170525, Ecuador.ORCID 0000-0002-2974-6610
Jenny RualesDepartamento de Ciencia de Alimentos y Biotecnología, Facultad de Ingeniería Química y Agroindustria, Escuela Politécnica Nacional (EPN), Quito 170525, Ecuador.
Cristina Cuesta-PlúaAgencia de Regulación y Control Fito y Zoosanitario (AGROCALIDAD), Av. Interoceánica km 14 ½, Tumbaco 170184, Ecuador.ORCID 0009-0002-8034-8295
Juan BravoAgencia de Regulación y Control Fito y Zoosanitario (AGROCALIDAD), Av. Interoceánica km 14 ½, Tumbaco 170184, Ecuador.ORCID 0000-0001-5590-9922
Marco SincheDepartamento de Ciencias Nucleares, Facultad de Ingeniería Química y Agroindustria, Escuela Politécnica Nacional, Ladrón de Guevara E11-253, Quito 170525, Ecuador.ORCID 0000-0003-1367-682X
Edwin VeraDepartamento de Ciencia de Alimentos y Biotecnología, Facultad de Ingeniería Química y Agroindustria, Escuela Politécnica Nacional (EPN), Quito 170525, Ecuador.ORCID 0000-0002-3335-3537
Edison VeraDepartamento de Ciencias Nucleares, Facultad de Ingeniería Química y Agroindustria, Escuela Politécnica Nacional, Ladrón de Guevara E11-253, Quito 170525, Ecuador.
Paul Vargas-JentzschDepartamento de Ciencias Nucleares, Facultad de Ingeniería Química y Agroindustria, Escuela Politécnica Nacional, Ladrón de Guevara E11-253, Quito 170525, Ecuador.ORCID 0000-0002-2983-5824
Valerian CiobotăRigaku Analytical Devices, Inc., 30 Upton Drive, Suite 2, Wilmington, MA 01887, USA.
Fernando E Ortega-OjedaDepartamento de Ciencias de la Computación, Universidad de Alcalá, Ctra. Madrid-Barcelona Km. 33.6, 28871 Alcalá de Henares, Madrid, Spain.
Andrés ProañoPrograma de Reactivación de Café y Cacao, Ministerio de Agricultura y Ganadería, Av. Eloy Alfaro y Av. Amazonas, Quito 170518, Ecuador.
Armando EcheverríaFacultad de Ciencias Técnicas, Universidad Internacional del Ecuador, Quito 170411, Ecuador.
Luis Ramos-GuerreroGrupo de Investigación Bio-Quimioinformática, Carrera de Ingeniería Agroindustrial, Facultad de Ingeniería y Ciencias Aplicadas, Universidad de Las Américas (UDLA), Quito 170503, Ecuador.ORCID 0000-0003-2654-3989

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cocoa liquor is the primary precursor of the worldwide highly appreciated commodity chocolate. Its quality depends on several factors, such as the type of cocoa, the fermentation process, and the control of the contaminants in the fermented beans. This study aims to evaluate whether the induced magnetic field treatment during the fermentation process or the pathogen reduction with gamma irradiation after the fermentation affect the characteristics of the cocoa liquor obtained from Ecuadorian cocoa beans. For this purpose, liquor samples from controls (standard process), from beans treated with an induced magnetic field up to 80 mT, and from beans irradiated with nominal doses up to 3 kGy were characterized through Raman spectroscopic analysis and sensorial evaluation. The most relevant bands of the cocoa liquor were assigned according to reports from the literature, spectroscopic data, and chemometrics. The spectra corresponding to different treatments and doses were visually very similar, but they could be discriminated using OPLS-DA models, where the most intense Raman signals were attributed to the lipid components. The sensorial evaluation rated the presence of floral, fruity, almondy, acid, and bitter flavors, along with astringency and intense aroma, and these attributes exhibited variable behavior depending on the dose of the irradiation or magnetic treatment. Therefore, both treatments may exert an influence on cocoa beans and, therefore, on the cocoa liquor quality.

Indexed as

chocolatecocoa beanscocoa liquorfermentationmagnetic fieldRaman spectroscopy

Identifiers

PMID37959042
PMCPMC10647436

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.