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Record W2093874888 · doi:10.1039/c3ay41732h

A porous layer open tubular monolith on microstructured optical fibre for microextraction and online GC-MS applications

2014· article· en· W2093874888 on OpenAlex

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

VenueAnalytical Methods · 2014
Typearticle
Languageen
FieldChemistry
TopicAnalytical chemistry methods development
Canadian institutionsMacEwan University
Fundersnot available
KeywordsSolid-phase microextractionExtraction (chemistry)MonolithMaterials sciencePolymerDivinylbenzenePorosityAnalyteFabricationFiberDetection limitStyreneChromatographyAnalytical Chemistry (journal)Gas chromatography–mass spectrometryChemistryMass spectrometryComposite materialCopolymerOrganic chemistry

Abstract

fetched live from OpenAlex

A microextraction device comprising a porous layer open tubular (PLOT) polymer housed in a microstructured optical fiber has been shown to be an attractive tool for analyte extraction and coupling to GC-MS as a cost-effective alternative to traditional SPME. This paper details the fabrication of a poly(styrene-co-divinylbenzene) PLOT optical fibre microextraction device and its use in the extraction of polyaromatic hydrocarbons (PAHs) in aqueous solution. Good linear calibrations were obtained with R2 values above 0.970 for five PAHs analyzed, with percent relative standard deviation values of 22.2 to 43.6% for PAH standards with concentrations ranging from 0.1 to 100 ppm. In addition, the robust poly(styrene-co-DVB) PLOT optical fibre porous polymer microextraction (PPME) device appears to retain its effectiveness with repeated use over an extended period of time.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.217
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.053
GPT teacher head0.408
Teacher spread0.356 · 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