Evidence map›Paper›PMID 35056750›Full record

ArticleMolecules (Basel, Switzerland)2022

Optimised Method for Short-Chain Fatty Acid Profiling of Bovine Milk and Serum.

Cheng Li, Zhiqian Liu, Carolyn Bath, Leah Marett, Jennie Pryce, Simone Rochfort

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  5. Article
  6. Study on the mechanism of SAR1B in sodium acetate promoting milk fat synthesis.In vitro cellular & developmental biology. Animal · 2025
    Article
  7. Article
  8. Review
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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

6 authors.

Cheng LiAgriculture Victoria Research, AgriBio, 5 Ring Road, Bundoora, VIC 3083, Australia.
Zhiqian LiuAgriculture Victoria Research, AgriBio, 5 Ring Road, Bundoora, VIC 3083, Australia.
Carolyn BathAgriculture Victoria Research, AgriBio, 5 Ring Road, Bundoora, VIC 3083, Australia.
Leah MarettAgriculture Victoria Research, Ellinbank Centre, Ellinbank, VIC 3821, Australia.ORCID 0000-0001-9698-8401
Jennie PryceAgriculture Victoria Research, AgriBio, 5 Ring Road, Bundoora, VIC 3083, Australia.
Simone RochfortAgriculture Victoria Research, AgriBio, 5 Ring Road, Bundoora, VIC 3083, Australia.ORCID 0000-0001-8442-6081

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Short-chain fatty acids (SCFA, C2-C5) in milk and serum are derived from rumen bacterial fermentation and, thus, have the potential to be used as biomarkers for the health status of dairy cows. Currently, there is no comprehensive and validated method that can be used to analyse all SCFAs in both bovine serum and milk. This paper reports an optimised protocol, combining 3-nitrophenylhydrazine (3-NPH) derivatisation and liquid chromatography-mass spectrometry (LC-MS) analysis for quantification of SCFA and β-hydroxybutyric acid (BHBA) in both bovine milk and bovine serum. This method is sensitive (limit of detection (LOD) ≤ 0.1 µmol/L of bovine milk and serum), accurate (recovery 84-115% for most analytes) and reproducible (relative standard deviation (RSD) for repeated analyses below 7% for most measurements) with a short sample preparation step. The application of this method to samples collected from a small cohort of animals allowed us to reveal a large variation in SCFA concentration between serum and milk and across different animals as well as the strong correlation of some SCFAs between milk and serum samples.

Indexed as

AnimalsCattleChromatography, LiquidFatty Acids, VolatileLimit of DetectionMass SpectrometryMilkReproducibility of ResultsFatty Acids, Volatilebovine milkliquid chromatography-mass spectrometryserumshort-chain fatty acids

Identifiers

PMID35056750
PMCPMC8778335

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Registered trials

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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.