Evidence map›Paper›PMID 21886093›Full record

ArticleMolecules (Basel, Switzerland)2011

Mathematical evaluation of the amino acid and polyphenol content and antioxidant activities of fruits from different apricot cultivars.

Jiri Sochor, Helena Skutkova, Petr Babula, Ondrej Zitka, Natalia Cernei, Otakar Rop, Boris Krska, Vojtech Adam, Ivo Provazník, Rene Kizek

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 48 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Nutraceutical Profile Characterization in Apricot (Plants (Basel, Switzerland) · 2025
    Article
  6. Foods (Basel, Switzerland) · 2023
    Article
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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

10 authors at 3 institutions in 1 country.

Jiri SochorDepartment of Chemistry and Biochemistry, Faculty of Agronomy, Mendel University in Brno, Zemedelska 1, CZ-613 00 Brno, Czech Republic.
Helena Skutkova
Petr Babula
Ondrej Zitka
Natalia Cernei
Otakar Rop
Boris Krska
Vojtech Adam
Ivo Provazník
Rene Kizek
Mendel University in Brno · CZBrno University of Technology · CZTomas Bata University in Zlín · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Functional foods are of interest because of their significant effects on human health, which can be connected with the presence of some biologically important compounds. In this study, we carried out complex analysis of 239 apricot cultivars (Prunus armeniaca L.) cultivated in Lednice (climatic area T4), South Moravia, Czech Republic. Almost all previously published studies have focused only on analysis of certain parameters. However, we focused on detection both primary and secondary metabolites in a selection of apricot cultivars with respect to their biological activity. The contents of thirteen biogenic alpha-L-amino acids (arginine, asparagine, isoleucine, lysine, serine, threonine, valine, leucine, phenylalanine, tryptophan, tyrosine, proline and alanine) were determined using ion exchange chromatography with UV-Vis spectrometry detection. Profile of polyphenols, measured as content of ten polyphenols with significant antioxidant properties (gallic acid, procatechinic acid, p-aminobenzoic acid, chlorogenic acid, caffeic acid, vanillin, p-coumaric acid, rutin, ferrulic acid and quercetrin), was determined by high performance liquid chromatography with spectrometric/electrochemical detection. Moreover, content of total phenolics was determined spectrophotometrically using the Folin-Ciocalteu method. Antioxidant activity was determined using five independent spectrophotometric methods: DPPH assay, DMPD method, ABTS method, FRAP and Free Radicals methods. Considering the complexity of the obtained data, they were processed and correlated using bioinformatics techniques (cluster analysis, principal component analysis). The studied apricot cultivars were clustered according to their common biochemical properties, which has not been done before. The observed similarities and differences were discussed.

Indexed as

Principal Component AnalysisAlgorithmsAmino AcidsAntioxidantsBenzothiazolesBiphenyl CompoundsCluster AnalysisComputational BiologyFree RadicalsFruitGene PoolPicratesPlant ExtractsPolyphenolsPrunusSulfonic Acids1,1-diphenyl-2-picrylhydrazyl2,2'-azino-di-(3-ethylbenzothiazoline)-6-sulfonic acidAmino AcidsAntioxidantsBenzothiazolesBiphenyl CompoundsFree RadicalsPicratesPlant ExtractsPolyphenolsSulfonic Acids

Identifiers

PMID21886093
PMCPMC6264707
OpenAlexW2133802061

What OpenQuestion holds

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LicenceCC BY
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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.