Applying the Ionic Field-Effect Photoluminescence of Semiconducting Carbon Nanotubes for Circuit-Free Electroanalytics
Bibliographic record
Abstract
Semiconducting single-walled carbon nanotubes (SWCNTs) exhibit unique photophysical processes from the visible to near-infrared that are ascribed to excitation and decay of excitonic transitions. Here we show that polyelectrolytic dispersants and aqueous electrolytes interact directly with charge carriers in the semiconducting nanotubes, resulting in carrier modulation that can be probed through photoluminescence (PL) intensity and frequency changes. Laser photocarrier generation may therefore induce a potential on the nanotube which interacts, through screening and adsorption, with solvent ions, described by ionic activity in the environment. A systematic exploration of various environmental parameters such as the type of polyelectrolyte dispersant and amphoteric surface is investigated to gain increased sensitivity for eventual use in modern potentiometry. Based upon the nanotube’s demonstrated role in double-layer and pseudo-capacitors, we developed models to explain observed phenomena and propose nanotubes can serve as circuit-free optical electrodes for electroanalytical applications on surfaces and cell membranes. SVR was partially supported by National Science Foundation (ECCS-1509786)
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".