Evidence map›Paper›PMID 37710254›Full record

ArticleBMC veterinary research2023

Multi-class/residue method for determination of veterinary drug residues, mycotoxins and pesticide in urine using LC-MS/MS technique.

Zehra Hajrulai-Musliu, Risto Uzunov, Stefan Jovanov, Dea Musliu, Elizabeta Dimitrieska-Stojkovikj, Biljana Stojanovska-Dimzoska, Aleksandra Angeleska, Velimir Stojkovski, James Jacob Sasanya

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

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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

9 authors at 2 institutions in 2 countries.

Zehra Hajrulai-MusliuFaculty of Veterinary Medicine-Skopje, "Ss. Cyril, Methodius" University in Skopje, Lazar Pop-Trajkov 5/7, Skopje, 1000, Republic of North Macedonia. zhajrulai@fvm.ukim.edu.mk.
Risto UzunovFaculty of Veterinary Medicine-Skopje, "Ss. Cyril, Methodius" University in Skopje, Lazar Pop-Trajkov 5/7, Skopje, 1000, Republic of North Macedonia.
Stefan JovanovFaculty of Veterinary Medicine-Skopje, "Ss. Cyril, Methodius" University in Skopje, Lazar Pop-Trajkov 5/7, Skopje, 1000, Republic of North Macedonia.
Dea MusliuFaculty of Pharmacy, "Ss. Cyril and Methodius" University in Skopje, Majka Tereza 47, Skopje, 1000, Republic of North Macedonia.
Elizabeta Dimitrieska-StojkovikjFaculty of Veterinary Medicine-Skopje, "Ss. Cyril, Methodius" University in Skopje, Lazar Pop-Trajkov 5/7, Skopje, 1000, Republic of North Macedonia.
Biljana Stojanovska-DimzoskaFaculty of Veterinary Medicine-Skopje, "Ss. Cyril, Methodius" University in Skopje, Lazar Pop-Trajkov 5/7, Skopje, 1000, Republic of North Macedonia.
Aleksandra AngeleskaFaculty of Veterinary Medicine-Skopje, "Ss. Cyril, Methodius" University in Skopje, Lazar Pop-Trajkov 5/7, Skopje, 1000, Republic of North Macedonia.
Velimir StojkovskiFaculty of Veterinary Medicine-Skopje, "Ss. Cyril, Methodius" University in Skopje, Lazar Pop-Trajkov 5/7, Skopje, 1000, Republic of North Macedonia.
James Jacob SasanyaInternational Atomic Energy Agency, Vienna International Centre, P. O. Box 100, Vienna, A-1400, Austria.
Saints Cyril and Methodius University of Skopje · MKInternational Atomic Energy Agency · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVeterinary drugs are widely used in animals to prevent diseases and are a complex set of drugs with very different chemical properties. Multiclass and multi-residue methods for simultaneous detection of residues from veterinary drugs and contaminants in urine are very rare or non-existent. Therefore, the aim of this study was to develop and validate a sensitive and reliable quantitative LC-MS/MS method for simultaneous determination of a wide range of veterinary drug and pesticide residues and mycotoxins in bovine urine. This involved 42 veterinary drug residues (4 thyreostats, 6 anabolic hormones, 2 lactones, 10 beta agonists, 15 antibiotics, 5 sulphonamides), 28 pesticides and 2 mycotoxins. Stable isotopically labelled internal standards were used to facilitate effective quantification of the analytes. Analysis was performed in both positive and negative ionization modes with multiple reaction monitoring transitions over a period of 12 min.

resultsThe parameters validated included linearity, limit of detection (LOD), limit of quantification (LOQ), detection capability (CCβ), decision limit (CCα), stability, accuracy and precision. The process followed guidelines of the regulation 2021/808/EC. The calibration curves were linear with coefficient of correlation (R

conclusionA new isotopic LC-MS/MS method has been developed, validated and applied for identification and quantification of 72 residues of veterinary drugs and pesticides and other contaminants such as mycotoxins in bovine urine. The most appropriated sample preparation procedures involved sodium acetate buffer, enzymatic hydrolysis using β-glucuronidase and cleanup solid phase extraction with OASIS SPE cartridges. The parameters were satisfactorily validated fulfilling requirements under Regulation 2021/808/EC. Consequently, the method could be used in routine analysis of bovine urine samples for simultaneous detection of veterinary drug and pesticide residues as well as contaminants such as mycotoxins.

Indexed as

MycotoxinsPesticide ResiduesPesticidesVeterinary DrugsAnimalsCattleChromatography, LiquidTandem Mass SpectrometryMycotoxinsPesticide ResiduesPesticidesVeterinary DrugsLC-MS/MSMethod developmentMycotoxinsPesticidesUrineVeterinary drugs

Identifiers

PMID37710254
PMCPMC10500785
OpenAlexW4386745664

What OpenQuestion holds

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LicenceCC BY
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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.