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Record W1989659280 · doi:10.1021/je9902488

HPLC-Based Method for Estimating the Temperature Dependence of<i>n</i>-Octanol−Water Partition Coefficients

2000· article· en· W1989659280 on OpenAlex
Ying Duan Lei, Frank Wania, Wan Ying Shiu, D. G. B. Boocock

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Chemical & Engineering Data · 2000
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChemistryPartition coefficientOctanolEnthalpyChromatographyEnvironmental chemistryHigh-performance liquid chromatographyThermodynamics

Abstract

fetched live from OpenAlex

Retention time measurements on reversed phase HPLC-columns over a 50 K temperature range are used to estimate the enthalpy of octanol−water phase transfer Δ OW H for 38 organic compounds of environmental relevance, including selected chlorinated benzenes (CBzs), polycyclic aromatic hydrocarbons (PAHs), polychlorinated naphthalenes (PCNs) and biphenyls (PCBs). Literature K OW values as a function of temperature for CBzs served as a reference. Δ OW H for these compounds range from 13 to 32 kJ/mol, confirming a relatively minor temperature dependence of their partitioning between water and octanol. For the chlorinated aromatics a strong linear relationship between Δ OW H and molar volume was observed. The temperature-dependent retention volumes are also used to estimate K OW of selected PCNs and PAHs at 25 °C.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score0.641

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.014
GPT teacher head0.266
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it