Simultaneous Characterization of Perfluoroalkyl Carboxylate, Sulfonate, and Sulfonamide Isomers by Liquid Chromatography−Tandem Mass Spectrometry
Bibliographic record
Abstract
A comprehensive method was developed to simultaneously separate and detect perfluorinated acid (PFA) and PFA-precursor isomers using liquid chromatography-tandem mass spectrometry (LC-MS/MS). A linear perfluorooctyl stationary phase and acidified mobile phase increased separation efficiency, relative to alkyl stationary phases, for the many perfluoroalkyl carboxylate (PFCA), perfluoroalkyl sulfonate (PFSA), and perfluorooctyl sulfonamide (PFOSA) isomers and in combination with their distinct MS/MS transitions allowed full resolution of most isomers in standards. Utilizing the absence of the "9-series" and "0-series" product ions, several perfluorooctane sulfonate (C8F17SO3-, PFOS) isomers were structurally elucidated. In human serum, only perfluorooctane sulfonamide (C8F17SO2NH2, FOSA) and PFOS consisted of significant quantities of branched isomers, whereas PFCAs were predominantly linear. Interferences that coelute with the m/z 499 --> 80 transition of PFOS on alkyl stationary phases were simultaneously separated and identified as taurodeoxycholate isomers, removal of which permitted the use of the more sensitive m/z 80 product ion and a resulting 20-fold decrease in PFOS detection limits compared to the m/z 499 --> 99 transition (0.8 pg versus 20 pg using m/z 80 and 99, respectively). Interferences in human serum which caused a 10-20-fold over-reporting of perfluorohexane sulfonate (C6F13SO3-, PFHxS) concentrations on alkyl stationary phases were also simultaneously separated from linear PFHxS and identified as endogenous steroid sulfates. PFOSA isomers, generated with human microsomes, had different rates of metabolism, suggesting that the perfluoroalkyl branching pattern may affect the biological properties of individual isomers. This fact, and for reasons of improved accuracy and sensitivity, investigators are urged to utilize more efficient separation methods capable of isomer characterization in perfluoroalkyl research.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".