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Record W7054575235

Análisis de fármacos y disruptores endocrinos en peces y moluscos destinados al consumo humano

2016· dissertation· en· W7054575235 on OpenAlexfundno aff

Bibliographic record

VenueRECERCAT (Consorci de Serveis Universitaris de Catalunya) · 2016
Typedissertation
Languageen
FieldEngineering
TopicMagneto-Optical Properties and Applications
Canadian institutionsnot available
FundersCanadian Institute for Advanced Research
KeywordsQuechersAquatic environmentShellfishMackerelTriclosanFish <Actinopterygii>Extraction (chemistry)Bisphenol AEuropean union
DOInot available

Abstract

fetched live from OpenAlex

In recent years it has detected the presence of pharmaceuticals and endocrine disruptors in aquatic environments. These compounds may accumulate in marine organisms such as fish and shellfish if longZterm exposure and consumption of these organisms occurs could cause a risk to human health. With the main objective to assess this risk arises the European project "Priority environmental contaminants in seafood: safety assessment, impact and public perception" (ECsafeSEAFOOD) within which development has this work. It has analyzed samples of fish and shellfish for human consumption, mainly from different European regions, but have also included some samples of imported organisms. The compounds under study were diruptores endocrine compounds (EDCs) particularly triclosan, methylparaben, bisphenol A and TBEP and pharmacologically active compounds (PHACS) such as diazepam, sotalol, azithromycin, carbamazepine, diclofenac, citalopram, venlafaxine and sulfamethoxazole. Two samplings were conducted at different times of year and also the second one of the samples were steamed. The analysis of samples was performed using two analytical methods multiresidue. The protocol followed for EDCs is based on the use of QuEChERS (Quick, Easy, Cheap, Effective, Rugged and Safe [fast, easy, economical, efficient, robust and secure]). for extraction and purification sample, while for PHACS pressurized extraction with solvents (PLE) followed by a purification step with gel chromatography (GPC) was use. In both cases the detection and quantification of samples end was performed by chromatography coupled to mass spectrometry (UHPLCZMS) liquid. The results show concentrations of triclosan reaching 183.8 ng/g d.w in North Sea mackerel, and 36.4 ng/g d.w of bisphenol A in canned mackerel from Portugal. Furthermore, there has been an increasing concentration of EDCs when samples were steamed until reaching 75.4 ng/g d.w of bisphenol A in gold. Regarding levels PHACS the highest value was 11.72 ng/g d.w sulfamethoxazole of mussels from Holland. Although the levels detected in some cases are considerable not exceed the maximum levels permitted by the EU. To EDCs measured levels would not present any risk to public health in\n \n\n\n\naccordance with the tolerable daily maximum values recommended by the World Health Organization (WHO)

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.407
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.222
Teacher spread0.217 · 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 teacher head, not a consensus.

Study designNot applicable
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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