Simultaneous Double-Pass Absorption and Fluorescence Excitation–Emission Matrix Spectroscopy for Measurements of Reaction Kinetics
Bibliographic record
Abstract
A novel Hadamard-transform excitation–emission matrix (EEM) spectrometer generates two-dimensional (2D) fluorescence matrices at a data acquisition rate of over 6 EEMs per minute and with a spectral resolution of 5.3 nm. Using Fresnel reflections from the sample cell, we could record optical transmission spectra synchronously with the 2D EEMs. The spectrometer was integrated into a custom-designed stopped-flow injection device to collect visible absorption and fluorescence EEM spectra of reacting solutions. Two different kinetic studies on two rapidly evolving chemical reactions with multiple overlapping spectral components were conducted by collecting over 8400 absorption spectra and EEMs. The third-order rate constant for the demetalation of chlorophyll-a to pheophytin-a was experimentally determined to be 450 ± 20 M–2·s–1 as derived from a parallel factor (PARAFAC) analysis where absorption and fluorescence data were combined. A PARAFAC analysis of data collected from the insertion of a copper atom into pheophytin-a resulted in several absorbing components and only a single fluorescing component. A reaction model with an association complex and a sitting-a-top (SAT) complex as intermediates explained the absorption data, resulting in a sequence of second-order reactions with rate constants of 4.0 ± 0.4, 2.7 ± 0.3, and 0.28 ± 0.02 M–1·s–1, respectively. The rate constant of the fluorescence decrease was determined to be 1.7 ± 0.2 M–1·s–1, which is consistent with the fluorescence component being attributed to both the pheophytin-a and the association complex.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".