Electrochemical Characterization of InN Thin Films for Biosensing Applications
Bibliographic record
Abstract
InN, a well-established optoelectronic material, is currently being considered as a promising material for sensor applications. In this study, the fundamental electrochemical properties of InN thin film and its potential for electrode chemical and bio-sensing applications are demonstrated. The cyclic voltammograms of different concentrations of dopamine solution in 1 M HClO4 were measured. Similarly, potentiostatic measurements at 1 V versus Ag/AgCl show stable responses and linear change of current density with concentrations up to 0.475 mM dopamine. The InN thin film also demonstrated repeatable positive photoresponse to cathodic currents in 1 mM Ru(NH3)63+ in 1M KCl solution under a 100 mW cm-2 808-nm laser light illumination at a constant -0.25 V (vs. Ag/AgCl) bias. The cathodic current response showed a 27% enhancement, demonstrating its potential as photocathode. This cathodic photocurrent behavior is explained through the electron accumulation of the InN material.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".