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Record W2462930808 · doi:10.1021/acs.jpca.5b04835

Moving in on the Action: An Experimental Comparison of Fluorescence Excitation and Photodissociation Action Spectroscopy

2015· article· en· W2462930808 on OpenAlexafffund
Sydney M. J. Wellman, Rebecca A. Jockusch

Bibliographic record

VenueThe Journal of Physical Chemistry A · 2015
Typearticle
Languageen
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaCanada Foundation for Innovation
KeywordsPhotodissociationLaser-induced fluorescenceSpectroscopyQuadrupole ion trapChemistryFluorescenceFluorescence spectroscopyAbsorption spectroscopyExcitationAtomic physicsAnalytical Chemistry (journal)IonPhotochemistryIon trapOpticsPhysics

Abstract

fetched live from OpenAlex

Photodissociation action spectroscopy is often used as a proxy for measuring gas-phase absorption spectra of ions in a mass spectrometer. Although the potential discrepancy between linear optical and photodissociation spectra is generally acknowledged, direct experimental comparisons are lacking. In this work, we use a quadrupole ion trap that has been modified to enable both photodissociation and laser-induced fluorescence to assess how closely the visible photodissociation action spectrum of a fluorescent dye reflects its fluorescence excitation spectrum. Our results show the photodissociation action spectrum of gaseous rhodamine 110 is both substantially narrower and slightly red-shifted (∼120 cm(-1)) compared to its fluorescence excitation spectrum. Power dependence measurements reveal that the photodissociation of rhodamine 110 requires, on average, the absorption of three photons whereas fluorescence is a single-photon process. These differing power dependences are the key to interpreting the differences in the measured spectra. The experimental results provide much-needed quantification and insight into the differences between action spectra and linear optical spectra, and emphasize the utility of fluorescence excitation spectra to provide a more reliable benchmark for comparison with theory.

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 score0.010
Threshold uncertainty score0.206

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.055
GPT teacher head0.368
Teacher spread0.313 · 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

Citations65
Published2015
Admission routes2
Has abstractyes

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