High-Sensitivity Method for Determination of Tetrabromobisphenol-S and Tetrabromobisphenol-A Derivative Flame Retardants in Great Lakes Herring Gull Eggs by Liquid Chromatography−Atmospheric Pressure Photoionization−Tandem Mass Spectrometry
Bibliographic record
Abstract
Tetrabromobisphenol-A-bis(2,3-dibromopylether) (TBBP-A-dbpe), tetrabromobisphenol-A-bis(allyl ether) (TBBP-A-ae), and tetrabromobisphenol-S-bis(2,3-dibromopropyl ether) (TBBP-S-dbpe) are derivatives of tetrabromobisphenol-A (TBBP-A), and are all used as brominated flame retardants (BFRs). Using high-performance liquid chromatography-quadrupole-time-of-flight-mass spectrometry with atmospheric pressure photoionization (APPI) in the negative mode (LC-APPI(-)-Q-TOF-MS) and the novel use of pure acetone as dopant and LC mobile phase, full scan mass spectra showed that for these BFRs the dominant isotopic ion cluster was [M + O₂](-), and with other lesser abundant [M + O₂ - HBr](-), and [M - H](-) fragment ions. Subsequently, highly sensitive quantification of TBBP-A-dbpe, TBBP-A-ae, and TBBP-S-dbpe was accomplished via LC-triple quadrupole mass spectrometry with APPI(-) (LC-APPI(-)-MS/MS) via multiple ion monitoring based on the [M + O₂](-) > [Br](-) transition. Low to sub ng/g (wet weight (w.w.)) method limits of detection (LODs) were achieved, i.e., 0.07, 0.03, and 1.28 ng/g w.w. for TBBP-A-dbpe, TBBP-A-ae, and TBBP-S-dbpe, respectively. A variety of herring gull eggs were screened for these BFRs. The eggs were collected during 2008-2009 from several colony sites in the eastern Laurentian Great Lakes (Ontario) and in the St. Lawrence River (Québec). All egg samples had TBBP-S-dbpe concentrations below the LOD, and TBBP-A-ae and TBBP-A-dbpe were quantifiable in 67%-83% of the samples at concentrations up to 0.56 ng/g wet weight. Thus, TBBP-A-ae and TBBP-A-dbpe are present in herring gull eggs from these populations, bioaccumulate in the herring gull food chain, and are transferred from gull to egg.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".