Evidence map›Paper›PMID 35267349›Full record

ArticleFoods (Basel, Switzerland)2022

Coffee Silverskin as a Functional Ingredient in Vegan Biscuits: Physicochemical and Sensory Properties and In Vitro Bioaccessibility of Bioactive Compounds.

Carolina Cantele, Martina Tedesco, Daniela Ghirardello, Giuseppe Zeppa, Marta Bertolino

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Carolina CanteleDepartment of Agricultural, Forest and Food Sciences (DISAFA), University of Turin, 10095 Grugliasco, Italy.ORCID 0000-0002-2207-8082
Martina TedescoDepartment of Agricultural, Forest and Food Sciences (DISAFA), University of Turin, 10095 Grugliasco, Italy.
Daniela GhirardelloDepartment of Agricultural, Forest and Food Sciences (DISAFA), University of Turin, 10095 Grugliasco, Italy.ORCID 0000-0002-7127-3300
Giuseppe ZeppaDepartment of Agricultural, Forest and Food Sciences (DISAFA), University of Turin, 10095 Grugliasco, Italy.ORCID 0000-0002-0397-6880
Marta BertolinoDepartment of Agricultural, Forest and Food Sciences (DISAFA), University of Turin, 10095 Grugliasco, Italy.ORCID 0000-0002-1927-9932

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coffee silverskin (CS), a by-product obtained by the coffee industry after the roasting process, is scientifically known to be a source of fiber and polyphenols, which could contribute to human health. In this work, the production of CS-enriched biscuits is proposed, where the CS from Arabica and Robusta type and a decaffeinated blend of the two were used at three different levels as a replacement for wheat flour. The biscuits were analyzed for their physicochemical properties, consumer acceptability, and the bioaccessibility of polyphenols after in vitro digestion was estimated in order to identify the formulation most appreciated by consumers and most promising in terms of nutritional and biofunctional potential. From the results, CS-based biscuits represent an interesting possibility to create a more sustainable coffee chain, thanks to the valorization of the silverskin, especially if a decaffeinated CS is considered. In fact, a 4% replacement of the wheat flour with decaffeinated CS is able to give a final product with a high content of accessible polyphenols and a biscuit appreciated by the consumer.

Indexed as

antiradical activitybioaccessibilityby-productscoffee silverskindecaffeinationin vitro digestionpolyphenols

Identifiers

PMID35267349
PMCPMC8909313

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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.