Evidence map›Paper›PMID 37507956›Full record

ArticleAntioxidants (Basel, Switzerland)2023

Counteracting Roles of Lipidic Aldehydes and Phenolic Antioxidants on Soy Protein Oxidation Defined by a Chemometric Survey of Solvent and Mechanically Extracted Soybean Meals.

Junwei Zhang, Pedro E Urriola, Seth L Naeve, Gerald C Shurson, Chi Chen

Open access · goldAbstract read
In one paragraph

Article in Antioxidants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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, 7 citations in OpenAlex.

  1. Article
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 at 1 institution in 1 country.

Junwei ZhangDepartment of Food Science and Nutrition, University of Minnesota, St. Paul, MN 55108, USA.ORCID 0009-0008-1382-4160
Pedro E UrriolaDepartment of Animal Science, University of Minnesota, St. Paul, MN 55108, USA.ORCID 0000-0003-4090-6627
Seth L NaeveDepartment of Agronomy and Plant Genetics, University of Minnesota, St. Paul, MN 55108, USA.
Gerald C ShursonDepartment of Animal Science, University of Minnesota, St. Paul, MN 55108, USA.ORCID 0000-0001-7095-4799
Chi ChenDepartment of Food Science and Nutrition, University of Minnesota, St. Paul, MN 55108, USA.ORCID 0000-0001-9703-604X
University of Minnesota · US

Funding

United Soybean Board USB #2240-352-0504
6 · The paper itself

Abstract

Soybean meal (SBM) is a premier source of protein for feeding food-producing animals. However, its nutritional value can be compromised by protein oxidation. In this study, a total of 54 sources of solvent extracted SBM (SSBM) and eight sources of mechanically extracted SBM (MSBM), collected from different commercial producers and geographic locations in the United States during the years 2020 and 2021, were examined by chemometric analysis to determine the extent of protein oxidation and its correlation with soybean oil extraction methods and non-protein components. The results showed substantial differences between SSBM and MSBM in the proximate analysis composition, protein carbonyl content, lipidic aldehydes, and antioxidants, as well as subtle differences between 2020 SSBM and 2021 SSBM samples in protein oxidation and moisture content. Correlation analysis further showed positive correlations between protein carbonyl content and multiple lipid parameters, including the ether extract,

Indexed as

aldehydesantioxidantisoflavoneslipid oxidationprotein oxidationsoybean meal

Identifiers

PMID37507956
PMCPMC10376880
OpenAlexW4384300525

What OpenQuestion 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 OpenQuestion graph.