Evidence map›Paper›PMID 37685173›Full record

ReviewFoods (Basel, Switzerland)2023

Applications of Solution NMR Spectroscopy in Quality Assessment and Authentication of Bovine Milk.

Dilek Eltemur, Peter Robatscher, Michael Oberhuber, Matteo Scampicchio, Alberto Ceccon

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Dilek EltemurLaimburg Research Centre, Laimburg 6-Pfatten (Vadena), 39040 Auer, Italy.
Peter RobatscherLaimburg Research Centre, Laimburg 6-Pfatten (Vadena), 39040 Auer, Italy.ORCID 0000-0002-3376-0562
Michael OberhuberLaimburg Research Centre, Laimburg 6-Pfatten (Vadena), 39040 Auer, Italy.ORCID 0000-0002-9989-7297
Matteo ScampicchioFaculty of Agricultural, Environmental and Food Sciences, Free University of Bozen-Bolzano, Piazza Unversità 5, 39100 Bolzano, Italy.ORCID 0000-0002-5327-3008
Alberto CecconLaimburg Research Centre, Laimburg 6-Pfatten (Vadena), 39040 Auer, Italy.ORCID 0000-0002-2808-7262

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nuclear magnetic resonance (NMR) spectroscopy is emerging as a promising technique for the analysis of bovine milk, primarily due to its non-destructive nature, minimal sample preparation requirements, and comprehensive approach to untargeted milk analysis. These inherent strengths of NMR make it a formidable complementary tool to mass spectrometry-based techniques in milk metabolomic studies. This review aims to provide a comprehensive overview of the applications of NMR techniques in the quality assessment and authentication of bovine milk. It will focus on the experimental setup and data processing techniques that contribute to achieving accurate and highly reproducible results. The review will also highlight key studies that have utilized commonly used NMR methodologies in milk analysis, covering a wide range of application fields. These applications include determining milk animal species and feeding regimes, as well as assessing milk nutritional quality and authenticity. By providing an overview of the diverse applications of NMR in milk analysis, this review aims to demonstrate the versatility and significance of NMR spectroscopy as an invaluable tool for milk and dairy metabolomics research and hence, for assessing the quality and authenticity of bovine milk.

Indexed as

chemometricsmetabolomicsmilknuclear magnetic resonance

Identifiers

PMID37685173
PMCPMC10486658

What OpenQuestion holds

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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.