Evidence map›Paper›PMID 33530548›Full record

ArticleMetabolites2021

Mass Spectrometry-Based Flavor Monitoring of Peruvian Chocolate Fabrication Process.

Stephanie Michel, Luka Franco Baraka, Alfredo J Ibañez, Madina Mansurova

Abstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

4 authors.

Stephanie MichelInstitute of Omics Research and Applied Biotechnology (Instituto de Ciencias Ómicas y Biotecnología Aplicada, ICOBA), Pontificia Universidad Católica del Perú, Lima 15088, Peru.
Luka Franco BarakaInstitute of Omics Research and Applied Biotechnology (Instituto de Ciencias Ómicas y Biotecnología Aplicada, ICOBA), Pontificia Universidad Católica del Perú, Lima 15088, Peru.
Alfredo J IbañezInstitute of Omics Research and Applied Biotechnology (Instituto de Ciencias Ómicas y Biotecnología Aplicada, ICOBA), Pontificia Universidad Católica del Perú, Lima 15088, Peru.ORCID 0000-0001-9206-1537
Madina MansurovaInstitute of Omics Research and Applied Biotechnology (Instituto de Ciencias Ómicas y Biotecnología Aplicada, ICOBA), Pontificia Universidad Católica del Perú, Lima 15088, Peru.ORCID 0000-0001-6284-8283

Funding

Max Planck Society - Partner group Max Planck Partner group - MPI Chemical Ecology - PUCPPrograma Nacional de Innovación Agraria (Peru) Nº 020-2016-INIA-PNIA/UPMSI/I
6 · The paper itself

Abstract

Flavor is one of the most prominent characteristics of chocolate and is crucial in determining the price the consumer is willing to pay. At present, two types of cocoa beans have been characterized according to their flavor and aroma profile, i.e., (1) the bulk (or ordinary) and (2) the fine flavor cocoa (FFC). The FFC has been distinguished from bulk cocoa for having a great variety of flavors. Aiming to differentiate the FFC bean origin of Peruvian chocolate, an analytical methodology using gas chromatography coupled to mass spectrometry (GC-MS) was developed. This methodology allows us to characterize eleven volatile organic compounds correlated to the aromatic profile of FFC chocolate from this geographical region (based on buttery, fruity, floral, ethereal sweet, and roasted flavors). Monitoring these 11 flavor compounds during the chain of industrial processes in a retrospective way, starting from the final chocolate bar towards pre-roasted cocoa beans, allows us to better understand the cocoa flavor development involved during each stage. Hence, this methodology was useful to distinguish chocolates from different regions, north and south of Peru, and production lines. This research can benefit the chocolate industry as a quality control protocol, from the raw material to the final product.

Indexed as

flavor VOCsGC-MSHS-SPMEmonitoring manufacturing processsensory analysis

Identifiers

PMID33530548
PMCPMC7911988

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.