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Record W7120607666

Depletion study of fluoroquinolones and tetracyclines in broiler chickens using LC-MS/MS

2016· dissertation· pt· W7120607666 on OpenAlexaboutno aff

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2016
Typedissertation
Languagept
FieldAgricultural and Biological Sciences
TopicPesticide Residue Analysis and Safety
Canadian institutionsnot available
Fundersnot available
KeywordsEnrofloxacinBroilerFlumequineOxytetracyclineAntibioticsEuropean unionCiprofloxacinMaximum Residue LimitChlortetracycline
DOInot available

Abstract

fetched live from OpenAlex

Antibiotics have been widely used for prophylactic and therapeutic treatment within the broiler supply chain in order to improve animal production performance. The indiscriminate use of these drugs can, however, lead to the presence of residues in the meat and thus be a risk to the health of consumers. Fluoroquinolones and tetracyclines are two antibiotic classes that are commonly used in poultry. In this study, a liquid chromatography-based analytical method coupled with mass spectrometry was developed and validated in order to analyze residues of 7 antibiotics from the aforementioned classes in chicken muscle. Furthermore, antibiotic depletion studies were performed in broiler chickens in order to quantify the residues in the meat. The results were compared to maximum residue limits (MRLs) established by Brazilian and international laws. A procedure that employs acidified acetonitrile and purification by centrifugation and low temperature precipitation was used as the extraction method, with no need to perform a solid phase extraction (SPE) step. The method was validated in accordance with the Directive 2002/657/EC from the European Union by assessing selectivity, linearity and specificity parameters, detection and quantification limits, accuracy, precision, matrix effect, decision limit (CCα), detection capability (CCβ), robustness and applicability of the technique. For depletion studies, chlortetracycline (CTC), doxycycline (DOX) and oxytetracycline (OTC) were administered orally for 5 consecutive days and ciprofloxacin (CIP), enrofloxacin (ENR) and norfloxacin (NOR) for 3 days. After 6, 12, 24, 48, 72, 96, 120, 144, 168, 192, 216 and 240 h after the last dose, muscle samples (chest) were collected from 4 animals from each treated group and from 2 from the control group in order to assess the residual concentration of the drugs. The validated method presented values within acceptable parameters according to Directive 2002/657/EC. From 65 chicken muscle samples evaluated for the applicability parameter, 3 presented residues of ENR. In the tetracyclines depletion studies, results showed that residues were under the MRLs considering Brazilian and European laws after 1 day for CTC and after 3 days for DOX. For OCT, this period was of 2 and 3 days according to Brazilian and European laws respectively. According to Japanese law, withdrawal time of 1, 5 and 2 days would be needed for CTC, DOX and OCT respectively. In the fluoroquinolones study, it was possible to detect traces of ENR even 9 days after treatment, which would make the export of meat to the United States and Canada infeasible. After 1 day at the last dose administrated, CIP residues were under MRLs established by Brazilian, European and Japanese laws, and after 4 days they were under limits determined by the Unites States and Canada. In the case of NOR, the withdrawal time would be of 1 day for all countries mentioned here. The results presented cooperate with the pursuit of food safety to consumers, as well as with the employment of analytical methods capable of determining drugs to comprise residue depletion studies in broilers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.266
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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