Evidence map›Paper›PMID 31324284›Full record

ArticleJournal of food and drug analysis2019

Direct injection high performance liquid chromatography coupled to data independent acquisition mass spectrometry for the screening of antibiotics in honey.

Annie von Eyken, Daniel Furlong, Samareh Arooni, Fred Butterworth, Jean-François Roy, Jerry Zweigenbaum, Stéphane Bayen

Open access · hybridAbstract read
In one paragraph

Article in Journal of food and drug analysis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.6field-weighted citation impact, top 6% 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

6 citing papers in PubMed, 38 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

7 authors at 3 institutions in 2 countries.

Annie von EykenDepartment of Food Science and Agricultural Chemistry, McGill University, Canada.
Daniel FurlongDepartment of Food Science and Agricultural Chemistry, McGill University, Canada.
Samareh ArooniDepartment of Food Science and Agricultural Chemistry, McGill University, Canada.
Fred ButterworthCalgary Laboratory, Canadian Food Inspection Agency (CFIA), Calgary, AB, Canada.
Jean-François RoyAgilent Technologies, Saint-Laurent, QC, Canada.
Jerry ZweigenbaumAgilent Technologies, Wilmington, DE, USA.
Stéphane BayenDepartment of Food Science and Agricultural Chemistry, McGill University, Canada.
McGill University · CAAgilent Technologies (United States) · USCanadian Food Inspection Agency · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The targeted analysis of veterinary drug residues in honey traditionally involves a series of extraction and purification steps prior to quantification with high performance liquid chromatography coupled to high resolution or tandem mass spectrometry. These steps, designed to separate the target analytes from interferences, are generally time-consuming and costly. In addition, traditional cleanup steps are likely to eliminate other compounds whose analysis could prove decisive in current or future assessment of the honey sample. Alternatively, direct injection without complex sample preparation steps has been introduced for the fast analysis of trace compounds in environmental and food matrices. The aim of this study was to develop a rapid method for the targeted analysis of 7 key veterinary drug residues in honey based on direct injection high performance liquid chromatography coupled to quadrupole time-of-flight, while simultaneously recording data-independent MS/MS (e.g. All Ions MS/MS data) for future re-examination of the data for other purposes. The new method allowed for the detection of the target residues at levels approximately 20-100 times lower than current regulatory limits, for a total analysis time of about 45 min. The recoveries (103-119%), the linearity (R ≥ 0.996) and the repeatability (RSD ≤ 7%) were satisfactory. The method was then applied to 35 honey samples from the Canadian market. Residues of tylosin A, tylosin B, sulfamethazine and sulfadimethoxine were detected in 6, 9, 6 and 23% of the samples respectively, at levels below the regulatory limits in Canada. The possibility of adding a hydrolysis step to study sulfonamides in honey was tested, which provided good results for this family of compounds but lead to degradation of some of the other analytes. Finally, the non-targeted identification of several compounds was demonstrated as a proof of concept of future re-examination of All Ions MS/MS data. This paper illustrates the capacity of this novel method to combine targeted and non-targeted screening of chemical residues in honey.

Indexed as

Anti-Bacterial AgentsChromatography, High Pressure LiquidDrug Evaluation, PreclinicalHoneyMass SpectrometryAnti-Bacterial AgentsDirect injectionHoneyHPLC-Q-TOF-MSVeterinary drugs

Identifiers

PMID31324284
PMCPMC9307035
OpenAlexW2913465167

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.