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Record W4313404783 · doi:10.1002/slct.202202897

Pyrolysis of Trifluoroacetic Acid and Trifluoroacetic Anhydride Studied with Mass Spectrometry and Synchrotron Radiation: Decomposition and Free Radical Formation

2023· article· en· W4313404783 on OpenAlexafffund
Alejandro L. Cardona, Juana Salas, Lukas Lesniak, Alex Mommers, P. Mayer, Maxi A. Burgos Paci

Bibliographic record

VenueChemistrySelect · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicPer- and polyfluoroalkyl substances research
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaConsejo Nacional de Investigaciones Científicas y Técnicas
KeywordsTrifluoroacetic anhydrideTrifluoroacetic acidPyrolysisChemistryDissociation (chemistry)Thermal decompositionMass spectrometryDecompositionMoleculePhotochemistryComputational chemistryOrganic chemistryChromatography

Abstract

fetched live from OpenAlex

Abstract The remediation strategies for accumulated polyfluoroalkyl substances (PFAS) are a subject of great concern in environmental science. In this study, the thermal decomposition of trifluoroacetic acid (TFA) and trifluoroacetic anhydride (TFAN), taken as models of PFAS, were explored. Imaging photoelectron photoion coincidence (iPEPICO) spectroscopy was used to detect pyrolysis products from room temperature to 1000 °C under dilute conditions. The observed pyrolysis products of each molecule were CO, CO 2 , CF 2 , and CF 2 O (and CF 3 for TFAN), with some species reflecting unimolecular rearrangement prior to dissociation. Electronic structure calculations using density functional theory and the SVECV‐F12 composite method were employed to evaluate the energy of the different decomposition channels. The results show the advantage of exploring the pyrolysis under dilute conditions to catch the first stages of unimolecular dissociation of these molecules for the first 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.

How this classification was reachedexpand

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)0.000
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 score0.048
Threshold uncertainty score0.629

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.244
Teacher spread0.236 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes2
Has abstractyes

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