Evidence map›Paper›PMID 42196003›Full record

ArticleFoods (Basel, Switzerland)2026

Physical-Chemical and Microbiological Characterisation of Blueberry By-Products (

Miriam Ortega-Heras, Mª Luisa González-Sanjosé, Ruth Hortigüela-Delgado, Ángela Fernández-Varona, Verónica Rodríguez, Beatriz Melero

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Miriam Ortega-HerasDepartment of Biotechnology and Food Science, University of Burgos, Plaza Misael Bañuelos, 09001 Burgos, Spain.ORCID 0000-0001-9626-4809
Mª Luisa González-SanjoséDepartment of Biotechnology and Food Science, University of Burgos, Plaza Misael Bañuelos, 09001 Burgos, Spain.ORCID 0000-0003-2973-7287
Ruth Hortigüela-DelgadoDepartment of Biotechnology and Food Science, University of Burgos, Plaza Misael Bañuelos, 09001 Burgos, Spain.
Ángela Fernández-VaronaDepartment of Biotechnology and Food Science, University of Burgos, Plaza Misael Bañuelos, 09001 Burgos, Spain.
Verónica RodríguezDepartment of Biotechnology and Food Science, University of Burgos, Plaza Misael Bañuelos, 09001 Burgos, Spain.
Beatriz MeleroDepartment of Biotechnology and Food Science, University of Burgos, Plaza Misael Bañuelos, 09001 Burgos, Spain.ORCID 0000-0001-8982-8186

Funding

Spanish Ministry of Science and Innovation with the help of European Funds PID2021-125400OB-I00
6 · The paper itself

Abstract

The production of blueberry juice generates large quantities of waste products such as skins, pulp and seeds. These by-products contain high levels of bioactive compounds and are suitable for use as functional ingredients in food systems. In this study three powdered products obtained from blueberry pomace-with skins and seeds, seedless, and with seeds-have been physically-chemically and microbiologically characterised as being the individual anthocyanins and phenolic compounds identified by HPLC-QTOF. Furthermore, to ensure product safety, the effect of a heat treatment at 90 °C for 30, 60, 90 and 120 min was also studied. The three products showed high concentrations of fibre, phosphorus, calcium and potassium. The two products with skins also showed high levels of anthocyanins, phenolic compounds and antioxidant activity. The product from seeds had the highest load of Aerobic Mesophilic Bacteria and

Indexed as

anthocyaninsblueberry pomaceheat treatmentphenolic compoundsproduct safetyVaccinium myrtillus L.

Identifiers

PMID42196003
PMCPMC13206334

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.