Evidence map›Paper›PMID 35807399›Full record

ArticleMolecules (Basel, Switzerland)2022

Determination of Free Amino Acids in Milk, Colostrum and Plasma of Swine via Liquid Chromatography with Fluorescence and UV Detection.

Roberto Gotti, Erika Esposito, Diana Luise, Stefano Tullio, Nicolò Interino, Paolo Trevisi, Jessica Fiori

Open access · goldAbstract 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 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. 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

7 authors at 1 institution in 1 country.

Roberto GottiDepartment of Pharmacy and Biotechnology FaBit, Alma Mater Studiorum, University of Bologna, Via Belmeloro 6, 40126 Bologna, Italy.ORCID 0000-0003-0622-2248
Erika EspositoDepartment of Chemistry "G. Ciamician", Alma Mater Studiorum, University of Bologna, Via F. Selmi 2, 40126 Bologna, Italy.
Diana LuiseDepartment of Agricultural and Food Sciences, Alma Mater Studiorum, University of Bologna, Viale G. Fanin, 40127 Bologna, Italy.ORCID 0000-0001-7864-7822
Stefano TullioDepartment of Chemistry "G. Ciamician", Alma Mater Studiorum, University of Bologna, Via F. Selmi 2, 40126 Bologna, Italy.
Nicolò InterinoDepartment of Chemistry "G. Ciamician", Alma Mater Studiorum, University of Bologna, Via F. Selmi 2, 40126 Bologna, Italy.
Paolo TrevisiDepartment of Agricultural and Food Sciences, Alma Mater Studiorum, University of Bologna, Viale G. Fanin, 40127 Bologna, Italy.ORCID 0000-0001-7019-6828
Jessica FioriDepartment of Chemistry "G. Ciamician", Alma Mater Studiorum, University of Bologna, Via F. Selmi 2, 40126 Bologna, Italy.
University of Bologna · IT

Funding

University of Bologna RFO 2021
6 · The paper itself

Abstract

Amino acids are ubiquitous components of mammalian milk and greatly contribute to its nutritional value. The compositional analysis of free amino acids is poorly reported in the literature even though their determination in the biological fluids of livestock animals is necessary to establish possible nutritional interventions. In the present study, the free amino acid profiles in mature swine milk, colostrum and plasma were assessed using a targeted metabolomics approach. In particular, 20 amino acids were identified and quantified via two alternative and complementary reversed-phase HPLC methods, involving two stationary phases based on core-shell technology, i.e., Kinetex C18 and Kinetex F5, and two detection systems, i.e., a diode array detector (DAD) and a fluorescence detector (FLD). The sample preparation involved a de-proteinization step, followed by pre-chromatographic derivatization with 9-fluorenylmethylchloroformate (FMOC-Cl). The two optimized methods were validated for specificity, linearity, sensitivity, matrix effect, accuracy and precision and the analytical performances were compared. The analytical methods proved to be suitable for free amino acid profiling in different matrices with high sensitivity and specificity. The correlations among amino acid levels in different biological fluids can be useful for the evaluation of physio-pathological status and to monitor the effects of therapeutic or nutritional interventions in humans and animals.

Indexed as

Amino AcidsMilkAnimalsChromatography, High Pressure LiquidChromatography, LiquidColostrumFemaleMammalsPregnancySwineAmino Acidscolostrumderivatizationfree amino acidsliquid chromatographymilkplasmaswine

Identifiers

PMID35807399
PMCPMC9268350
OpenAlexW4283704703

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.