Elevated PFAS Precursors in Septage and Residential Pump Stations
Bibliographic record
Abstract
Residential wastewater, with no industrial inputs, is an underrecognized source of per- and polyfluoroalkyl substances (PFAS). This study provides the first direct comparison of PFAS in septage and pump stations, targeting 70 PFAS compounds and employing the total oxidizable precursor (TOP) assay. Septage exhibited markedly higher PFAS and precursors concentrations than pump stations, with median post-TOP levels of 687.5 ng/L vs 84.2 ng/L, respectively. FTCAs were fully oxidized, while diPAPs showed incomplete oxidation due to high organic loads. Septic systems function as PFAS reservoirs, increasing risks of groundwater contamination, particularly in areas with shallow aquifers. Pump stations contributed to episodic PFAS spikes, likely affecting downstream wastewater treatment. The detection of 27 PFAS compounds, including short-chain alternatives, highlights shifting contamination patterns. Findings emphasize the need for tailored analytical frameworks and pretreatment technologies to mitigate PFAS risks across decentralized and centralized wastewater systems. Integrating precursor analysis is critical for accurate risk assessment, as targeted PFAS measurements underestimate contamination. These results provide new insights into PFAS behavior in residential wastewater, guiding future mitigation efforts.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".