Evidence map›Paper›PMID 39941937›Full record

ArticleFoods (Basel, Switzerland)2025

The Use of High-Protein Preparations in Ice Cream Production.

Katarzyna Kiełczewska, Michał Smoczyński, Marta Gutkowska

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. 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

3 authors.

Katarzyna KiełczewskaDairy Science and Quality Management, Warmia and Mazury University, Oczapowskiego 7, 10-719 Olsztyn, Poland.ORCID 0000-0002-5267-925X
Michał SmoczyńskiDairy Science and Quality Management, Warmia and Mazury University, Oczapowskiego 7, 10-719 Olsztyn, Poland.
Marta GutkowskaDairy Science and Quality Management, Warmia and Mazury University, Oczapowskiego 7, 10-719 Olsztyn, Poland.

Funding

Minister of Science Republic of Poland MEiN/2023/DPI/2875
6 · The paper itself

Abstract

The aim of this study was to evaluate the applicability of high-protein preparations in the production of ice cream. Ice cream for the experiment was produced with the addition of the following high-protein preparations: micellar casein concentrate (CN) obtained from skimmed milk, buttermilk protein concentrate (BMP), whey protein concentrate (WPC) with 80% protein content, and skimmed milk powder (SMP) as the control sample. The ice cream mix (composition, colour, and consistency index) and the ice cream (overrun, melting rate, hardness, and sensory attributes) were analysed in this study. The addition of high-protein preparations increased the protein content of the ice cream mix, thus modifying selected properties of the mix and the produced ice cream. Mixes fortified with high-protein preparations were characterised by a higher consistency index (maximum values for WPC) and larger particle size (maximum values for CN) than those of the control sample. The whiteness index was lower in high-protein ice cream mixes than in the control sample. Depending on the type of preparation added to the ice cream mix, the resulting ice cream differed in hardness (hardness was highest in samples containing WPC, 276.54 N), overrun (lowest in samples containing WPC, 52.40%), and melting rate (lowest in samples containing BMP and highest in samples containing WPC, 0.24 g/min). High-protein preparations did not induce significant changes in ice cream palatability, except for ice cream fortified with WPC, which scored lower in the sensory analysis due to lower fluffiness, higher brittleness, and sour aroma and taste.

Indexed as

colourhigh-protein preparationsice creamice cream mixrheologysensory attributes

Identifiers

PMID39941937
PMCPMC11816911

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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.