Synergistic Polydopamine/Graphene Oxide Hybrids: Elevating Electrochemical Performance
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide Melanin, a natural biopolymer with a conjugated backbone, stands out as a promising candidate for bioelectronics owing to its redox activity, metal ion chelation, hydration-dependent electrical response, wet adhesion, potential electronic transport, anti-inflammatory properties, and excellent thermal stability. In this study, we explore the impact of hybridizing liquid crystalline graphene oxide (LCGO) into the conductive melanin-like polymer polydopamine (PDA) on the morphology, stability, and synergistic electrochemical performance. Our findings reveal that the gold electrode coated with PDA:LCGO composites exhibit more than two orders of magnitude lower impedance and more than 100 times higher charge storage capacity compared to both bare gold electrodes and those coated with pure PDA. Furthermore, we demonstrate that the morphology and the electrode performance could be tuned by adjusting the synthesis parameters in the PDA:LCGO electrochemical deposition. This PDA:LCGO composite, with its superior electrochemical performance, holds promise for diverse bioelectronics applications ranging from biosensors to implantable bionic interfaces.
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 | 0.000 | 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 | 0.001 | 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".