Gas-phase fluorescence excitation and emission spectroscopy of mass-selected trapped molecular ions
Bibliographic record
Abstract
A flexible interface to perform optical spectroscopic measurements on gaseous ions stored in a modified commercial quadrupole ion trap (QIT) mass spectrometer is described. The modifications made to the mass spectrometer did not adversely affect its operating characteristics. Gas-phase ions are produced using electrospray ionization, mass isolated and stored in the trapping mass spectrometer. The ions are subsequently irradiated with visible light from a tunable laser and dispersed fluorescence spectra are recorded simultaneously. Mass spectra are recorded after the irradiation period. This set-up allows us to track a range of possible outcomes upon photoexcitation of selected ions including fluorescence, photofragmentation and photodetachment of electrons. The experimental set-up is characterized using rhodamine 590, which is a methyl ester variant of rhodamine 6G. Fluorescence excitation and emission spectra of gaseous rhodamine 590 are measured and compared with solution-phase spectra. Excitation and emission maxima for the gaseous ions are found to lie at higher energy than for the solvated rhodamine 590. In addition, the gas-phase Stokes shift is significantly smaller than the solution-phase Stokes shift. The effects of several experimental parameters on the observed fluorescence signal are investigated, including laser power, relative number of ions, q(z) trapping parameter and buffer gas pressure. In addition to its use for the photophysical characterization of the intrinsic properties of ionic chromophores, this set-up may be used to investigate the properties of mass-selected, dye-labeled biomolecules, both alone and in well-defined complexes and clusters.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".