Evidence map›Paper›PMID 31703250›Full record

ArticleFoods (Basel, Switzerland)2019

Compositional Analysis of Non-Polar and Polar Metabolites in 14 Soybeans Using Spectroscopy and Chromatography Tools.

Raghavendhar R Kotha, Savithiry Natarajan, Dechun Wang, Devanand L Luthria

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2019. 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
1.2field-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, 9 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

4 authors at 3 institutions in 1 country.

Raghavendhar R KothaUSDA-ARS, Beltsville Human Nutrition Research Center, Beltsville, MD 20705, USA.
Savithiry NatarajanUSDA-ARS, Soybean Genomics and Improvement Laboratory, Beltsville, MD 20705, USA.
Dechun WangDepartment of Plant, Soil, and Microbial Sciences, Michigan State University, East Lansing, MI 48824, USA.
Devanand L LuthriaUSDA-ARS, Beltsville Human Nutrition Research Center, Beltsville, MD 20705, USA.
Beltsville Human Nutrition Research Center · USAgricultural Research Service · USMichigan State University · US

Funding

Agricultural Research Service 1235-52000-060-00D
6 · The paper itself

Abstract

There has been significant interest in soybean oil, fatty acid, and sugar composition to develop new value-added soybean products. Thus, compositional analysis is critical for developing value-added soybeans. In the present study, we showed simple screening tools (near infrared spectroscopy (NIR) and high-performance thin layer chromatography (HPTLC)) coupled with multivariate analysis for the sample classification of 14 soybeans as a proof-of-concept. We further determined major non-polar and polar metabolites responsible for differences between different soybeans using gas and ion chromatography. These differences in soybean profiles were attributed to lower levels of total oil content in wild soybeans (~9%) versus cultivated soybeans (16%-22%). In addition, higher levels of linolenic acid (~17%) and stachyose (~53%) were determined in wild type, whereas higher levels of oleic acid (~19%) and sucrose (~59%) were detected in cultivated soybeans. Interestingly, one cultivated soybean had a desirable sugar profile with a high amount of sucrose (86%) and a low abundance of stachyose (9%). The correlation studies showed a positive correlation between oil and soluble sugars (R

Indexed as

correlation studiesion and gas chromatographic separationsmultivariate analysisnon-polar and polar metabolitessoybeans

Identifiers

PMID31703250
PMCPMC6915420
OpenAlexW2985084753

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.