Evidence map›Paper›PMID 38409341›Full record

ArticleScientific reports2024

Evaluation of physical parameters and spectral characterization of the quality of soaps containing by-products from the food industry.

Patrycja Łusiak, Renata Różyło, Jacek Mazur, Paweł Sobczak, Arkadiusz Matwijczuk

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Patrycja ŁusiakDepartment of Food Engineering and Machines, University of Life Sciences in Lublin, Akademicka 13, 20-950, Lublin, Poland.
Renata RóżyłoDepartment of Food Engineering and Machines, University of Life Sciences in Lublin, Akademicka 13, 20-950, Lublin, Poland. renata.rozylo@up.lublin.pl.
Jacek MazurDepartment of Food Engineering and Machines, University of Life Sciences in Lublin, Akademicka 13, 20-950, Lublin, Poland.
Paweł SobczakDepartment of Food Engineering and Machines, University of Life Sciences in Lublin, Akademicka 13, 20-950, Lublin, Poland.
Arkadiusz MatwijczukDepartment of Biophysics, University of Life Sciences in Lublin, Akademicka 13, 20-950, Lublin, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study investigated several properties such as friction, hardness, penetration work, and cutting forces in soaps formulated with apple and carrot pomace at varying concentrations of 5%, 10%, and 15%. To gain insights into the molecular-level alterations within the formulated soap samples, they were spectroscopically analyzed using Fourier-transform infrared spectroscopy. The sliding friction analyses revealed that the investigated extrudate additives had no significant impact on the frictional forces of the soaps. However, notable differences were observed in the cutting force, hardness, and penetration work between the control and pomace-added samples. Excluding the control samples, no statistically significant distinctions were found between the cutting force, hardness, and work of penetration of soaps containing apple pomace and carrot pomace. Moreover, the quantity of pomace incorporated did not induce any significant variations in the results. The obtained samples were characterised at the molecular level using FTIR Fourier transform infrared spectroscopy. On the other hand, alterations in band intensities suggested improved molecular packing of the compounds within the samples due to the presence of the additives.

Indexed as

MalusSoapsFood IndustrySoapsCutting forcesFourier-transform infrared spectroscopyFrictionHardnessPenetration workPomaceSoap

Identifiers

PMID38409341
PMCPMC10897409

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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.