Salting-out effects on the characterization of naphthenic acids from Athabasca oil sands using electrospray ionization
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Bibliographic record
Abstract
There is growing interest in the mass spectrometric characterization of oil sands acids present in natural waters and contaminated soils. This interest stems from efforts to isolate the principal toxic components of oil sands acid extractable organics in aquatic environment. Salting-out effects are demonstrated for nanospray ionization mass spectra of Athabasca oil sands acid extractable organics (naphthenic acids), using Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometry. The differences in spectra obtained for the sodium naphthenates in dichloromethane/acetonitrile cosolvents compared to spectra obtained in the absence of saturated sodium chloride salts, are used here as a surrogate to indicate the more bioavailable or toxic components in natural waters. Whereas, monocarboxylic compounds (C(n)H(2n+Z)O(2)) were prevalent in the Z =-4, -6, and -12 (2, 3 and 6-ring naphthenic acids respectively) family in the carbon number range of 13 to 19 in the dichloromethane/acetonitrile cosolvent systems, salting-out effects resulted in a general enhancement of Z =-4 species, relative to others. Likewise, the shift in relative intensities of species containing O(1), O(3), O(4), O(2)S and O(3)S was dramatic for systems with and without saturated salts present. The O(4) and O(3)S species for example, were prevalent in the dichloromethane/acetonitrile cosolvent but were non-detected in the presence of saturated salts. Interactions of oil sands acids with salts are expected to occur in oil sands processed waters and natural saline waters. As evident by the distribution of species observed, salting-out effects will play a major role in limiting the bioavailability of oil sands acids in aquatic systems.
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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 | 0.001 | 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 it