Evidence map›Paper›PMID 34233377›Full record

ArticleRapid communications in mass spectrometry : RCM2021

Isotope partitioning between cow milk and farm water: A tool for verification of milk provenance.

Marta Boito, Paola Iacumin, Mattia Rossi, Nives Ogrinc, Giampiero Venturelli

Abstract read
In one paragraph

Article in Rapid communications in mass spectrometry : RCM, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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.

Marta BoitoDepartment of Chemistry, Life Sciences, and Environmental Sustainability, Parco area delle Scienze 157/A, University of Parma, Parma, Italy.
Paola IacuminDepartment of Chemistry, Life Sciences, and Environmental Sustainability, Parco area delle Scienze 157/A, University of Parma, Parma, Italy.ORCID https://orcid.org/0000-0001-6944-1814
Mattia RossiDepartment of Chemistry, Life Sciences, and Environmental Sustainability, Parco area delle Scienze 157/A, University of Parma, Parma, Italy.
Nives OgrincDepartment of Environmental Sciences, Jožef Stefan Institute, Ljubljana, Slovenia.
Giampiero VenturelliDepartment of Chemistry, Life Sciences, and Environmental Sustainability, Parco area delle Scienze 157/A, University of Parma, Parma, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleThe oxygen and hydrogen isotope compositions of the water component of the milk from nine Italian dairy farms were studied together with the farm water for one year. The aim was to verify the importance of farm water and seasonal temperature variation on milk isotope values and propose mathematical relations as new tools to identify the milk origin.

methodsMilk was centrifuged to separate the solids and then distilled under vacuum to separate water. δ(

resultsThe average annual isotope value of milk at the different cattle sheds is mostly related to the farm water suggesting that the drinking water is the most important factor influencing the isotopic values of the milk water. The milk/water fractionation factor correlates with the milking time and, thus, the seasonal temperature is best described by a 4

conclusionsThis study shows that it is essential to analyze both milk and farm water to indicate provenance. A two-step verification tool, based on the difference between the measured and calculated δ(

Indexed as

AnimalsCattleDeuteriumDiscriminant AnalysisFarmsFemaleFresh WaterItalyMass SpectrometryMilkOxygen IsotopesQuality ControlSeasonsDeuteriumOxygen Isotopes

Identifiers

PMID34233377
PMCPMC8519040

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.