Dual Fluorescence and Electrochemical Detection on an Electrophoresis Microchip
Bibliographic record
Abstract
Simultaneous amperometric and fluorescence detection in a microfabricated electrophoresis chip is reported. Detection limits of 448 nM and 1.52, 16, and 28 microM have been achieved for dopamine, catechol, NBD-arginine, and NBD-phenylalanine, respectively. These two orthogonal detection schemes allow analysis of a wider spectrum of compounds per separation, leading to higher throughput and enabling resolution of two neutral analytes, NBD-arginine and catechol. In addition, insight into the detection and separation mechanisms is realized. Differences in migration time and peak widths between the two detectors are compared, providing a better understanding of detector alignment. A common problem encountered in electrophoresis is run-to-run migration time irreproducibility for certain samples. This novel microchip dual detection system has been utilized to reduce this irreproducibility. An unknown sample is monitored with one detector while a standard (i.e., ladder) is added to the sample and monitored simultaneously with the other detector. This dual detection method is demonstrated to normalize unknown peak mobilities in a cerebral spinal fluid sample.
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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 | 0.000 |
| 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".