Fluorescently Active Carbon Nanostructures from Neurotransmitter Family Precursors
Bibliographic record
Abstract
Three biologically significant molecules – dopamine, epinephrine and norepinephrine, all fall under the neurotransmitter category of molecules, upon liquid-phase polymerization gave rise to sphere, petal and nanodot shapes in a water-alcohol mixture under basic conditions. The size and uniformity of these nanostructures can be controlled by varying the reaction solvents. An extrapolation of size control in the case of dopamine nanospheres showed a minimum achievable diameter of 30 nm. Zetapotential measurements of the resulting nanostructure suspensions showed -40 mV, -18 mV and -11 mV respectively for dopamine, epinephrine and norepinephrine nanostructures. The current consensus on the formation mechanism of dopamine nanospheres in alkaline water-alcohol mixture cannot explain the nanostructures formed from epinephrine and norepinephrine. All three nanostructures showed inherent fluorescence, which makes them interesting candidates for shape and size controlled carbon nanostructures that can be employed for imaging structures in complex fluids. The resulted nanostructures were tested as precursor for carbon nanostructures, and characterized for structure integrity and fluorescence properties. The presentation will discuss the results of synthesis and characterization of basic properties.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".