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Record W2100291626 · doi:10.1093/chromsci/46.8.665

The Determination of Tertiary Dodecyl Mercaptan by Low Thermal Mass Gas Chromatography--Dual Plasma Sulfur Chemiluminescence Detection

2008· article· en· W2100291626 on OpenAlex
R. Gras, Jim Luong, Patric Eckerle, RL Shearer

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 Chromatographic Science · 2008
Typearticle
Languageen
FieldChemistry
TopicAnalytical Chemistry and Chromatography
Canadian institutionsDow Chemical (Canada)
Fundersnot available
KeywordsChemistryDetection limitChromatographyChemiluminescenceGas chromatographyRepeatabilitySulfurLinear rangeSelectivityAnalytical Chemistry (journal)Organic chemistryCatalysis

Abstract

fetched live from OpenAlex

Tertiary dodecyl mercaptan (TDM) is commonly used as a chain transfer agent in the manufacturing process of styrene/butadiene latex for use in carpet and paper industries. A gas chromatographic technique has been successfully developed for the measurement of TDM based on its sulfur content for material identification, trend analysis, or for the monitoring of un-reacted residual material in final products. The method employs low thermal mass gas chromatography (LTM-GC) and a dual-plasma sulfur chemiluminescence detector (DP-SCD) to attain a high degree of sensitivity and selectivity. Using the technique described, a detection limit in the range of 0.5 ppm (v/v) TDM and less than 1 min analysis time can be achieved. Response is linear over four orders of magnitude with high degree of repeatability of less than 5% RSD.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
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 score0.009
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0010.004
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.213
Teacher spread0.207 · 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