A fluorous porous polymer monolith photo‐patterned chromatographic column for the separation of a flourous/fluorescently labeled peptide within a microchip
Bibliographic record
Abstract
A fluorous porous polymer stationary phase is photo-patterned within a glass microfluidic chip to conduct CEC. During free radical-initiated polymerization, extraneous polymer forms and contributes to excessive microfluidic channel clogging. Nitrobenzene is explored as free radical quencher to limit clogging by minimizing extraneous polymer formation and a number of initiator to quencher ratios are explored with a 0.5:1 quencher (nitrobenzene): initiator (benzoin methyl ether) molar ratio shown to be optimal. The microchip patterned with a fluorous monolith was used to carry out the electrochromatographic analysis of a mixture containing fluorescent and fluorous labeling products. The fluorous monolithic column shows fluorous selectivity for compounds labeled with perfluoromethylene tags and a custom peptide is synthesized that possesses functional groups that can be both fluorescently and fluorously labeled. MALDI MS was used to identify the labeled fragments and microchip based electrochromatography was used to analyze the resulting labeling mixture. This is the first report to our knowledge that uses fluorous porous polymer monolith within a microchip to separate analytes using fluorous-fluorous interactions.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".