Evidence map›Paper›PMID 26891323›Full record

ArticleNutrients2016

Automatic ¹H-NMR Screening of Fatty Acid Composition in Edible Oils.

David Castejón, Pascal Fricke, María Isabel Cambero, Antonio Herrera

Abstract readEvaluation Study
In one paragraph

Article in Nutrients, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

4 authors.

David CastejónCentro de Asistencia a la Investigación de Resonancia Magnética Nuclear y de Resonancia de Spin Electrónico (CAI de RMN y RSE), Universidad Complutense de Madrid, 28040 Madrid, Spain. dcastejon@pluri.ucm.es.
Pascal FrickeDepartment of Molecular Biophysics, Leibniz-Institut für Molekulare Pharmakologie, 13125 Berlin, Germany. fricke@fmp-berlin.de.
María Isabel CamberoDepartment of Nutrition, Bromatology and Food Technology, Veterinary Faculty, Universidad Complutense de Madrid, 28040 Madrid, Spain. icambero@ucm.es.
Antonio HerreraDepartment of Organic Chemistry, Chemistry Faculty, Universidad Complutense de Madrid, 28040 Madrid, Spain. aherrera@ucm.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we introduce an NMR-based screening method for the fatty acid composition analysis of edible oils. We describe the evaluation and optimization needed for the automated analysis of vegetable oils by low-field NMR to obtain the fatty acid composition (FAC). To achieve this, two scripts, which automatically analyze and interpret the spectral data, were developed. The objective of this work was to drive forward the automated analysis of the FAC by NMR. Due to the fact that this protocol can be carried out at low field and that the complete process from sample preparation to printing the report only takes about 3 min, this approach is promising to become a fundamental technique for high-throughput screening. To demonstrate the applicability of this method, the fatty acid composition of extra virgin olive oils from various Spanish olive varieties (arbequina, cornicabra, hojiblanca, manzanilla, and picual) was determined by ¹H-NMR spectroscopy according to this protocol.

Indexed as

Fatty AcidsHumansOleaOlive OilPlant OilsProton Magnetic Resonance SpectroscopyFatty AcidsOlive OilPlant Oilsautomatic analysisedible oilfatty acid compositioniodine valueMestreNovaNMR spectroscopyTopSpin

Identifiers

PMID26891323
PMCPMC4772056

What OpenQuestion holds

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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.