Estrogenic compounds in seawater and sediment from Halifax Harbour, Nova Scotia, Canada
Bibliographic record
Abstract
Abstract-Samples of seawater and surface sediment were collected from seven locations around Halifax Harbour, Nova Scotia, Canada, and analyzed for the presence of the organic estrogenic contaminants, bisphenol A (BPA), 17beta-estradiol (E2), and 17alpha-ethinylestradiol (EE2). Samples were extracted using solid phase extraction (seawater) or sonication (sediments), followed by fractionation on a two-layer alumina/silica gel column prior to analysis by liquid chromatography-tandem mass spectrometry (LCMS/MS) with negative-ion electrospray ionization. Levels of the three compounds consistently ranked as BPA > E2 > EE2. The least potent compound and plasticizer BPA reached levels of up to 2.6 ng/L in seawater and 9.5 ng/g in sediments; the natural product E2 was detected at concentrations up to 0.57 ng/L and 0.86 ng/g; while the synthetic estrogen EE2 was in most cases below the method detection limit (0.14 ng/L and 0.28 ng/g). The highest levels were observed in the influent of a secondary treatment plant that discharges into the harbor, with concentrations of 32.4 ng/L for BPA and 5.3 ng/L for E2. Overall, the results indicate that these compounds readily associate with suspended particles rather than remaining in the soluble phase. Measurement of the octanol-water partition coefficient (log K(OW)) confirmed these results, with values of 3.41, 3.89, and 4.16 for BPA, E2, and EE2, respectively. Partitioning experiments using spiked field samples further confirmed these findings, with sorption directly related to sediment total organic content and following the order EE2 > E2 > BPA.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".