A Reliable and Cost-Effective Method for Determination of Endocrine-Disrupting Compounds in Coastal Waters, Suspended Particulate Matter, and Sediments by Ultrafast Liquid Chromatography Coupled to Photodiode Array and Fluorescence Detectors
Bibliographic record
Abstract
Analytical methods for determining 14 endocrine-disrupting compounds (EDCs) in coastal waters, suspended particles, and sediment samples were successfully performed by ultrafast liquid chromatography with photodiode array and fluorescence detections (UFLC-PDA-FLD). Solid‑phase extraction (SPE) and ultrasound-assisted extraction (USE) were used for sample preparation. Two chromatographic methods have been developed. An isocratic separation method was used to separate bisphenol A (BPA) and steroids and another gradient elution method to separate phthalates and alkylphenols. The detection by fluorescence was used for alkylphenols, BPA, and steroids and photodiode array (PDA) for phthalates. Limits of detection (LOD) ranged from 0.41 (4-tert-octylphenol (4tOP)) to 63 ng L-1 (dibutylphthalate (DBP)), 0.41 (4tOP) to 63.2 ng g-1 dried weight (dw) coastal waters, and solid samples (suspended particulate matter (SPM) and sediment samples), respectively. Recoveries ranged from 52 (diethylphthalate (DEP)) to 116% (DBP) for water, from 54 (DEP) to 108% (estrone (E1)) for SPM, and from 62 (4-n-nonylphenol (4nNP)) to 117% (4-n-octylphenol (4nOP)) for sediment samples. Finally, with the minimization of reagents and energy, the proposed methods were applied to samples collected from Todos os Santos Bay (BTS), Bahia, Northeastern Brazil.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".