Tuning the d<sub>xy</sub> Orbital Energy Level in 2D Cobalt‐Organic‐Framework via in‐Plane Conjugated Phthalocyanine for Self‐Powered Sensing
Bibliographic record
Abstract
Abstract Precisely regulating the d orbital energy level of the transition metal center in the 2D conductive metal‐organic framework (2D cMOF) is critical for determining electrons transfer dynamics and enhancing sensing performances. Herein, this is demonstrated that a 2D cobalt‐MOF, decorated with in‐plane π conjugated phthalocyanine (Pc), acts as a highly electrically conductive nanofiller in a cellulose‐based hydrogel, facilitating the creation of an ultrasensitive self‐powered sensing system. The strong conjugation between the π‐orbital of Pc and the d‐orbital of MOF nanosheets raises the d xy orbital energy level, promoting electrons delocalization. As a result, the optimized 2D MOF@Pc‐based conductive hydrogel achieved the highest electrical conductivity of 78 S m −1 due to enhanced electron transfer kinetics. Moreover, as a key component in a triboelectric nanogenerator, supercapacitors, and sensor module, the overall performance of the assembled self‐powered sensing micro‐system is reinforced, yielding a 75% improvement in sensitivity. The coordination effect between Pc, MOF, and the biopolymers matrix also endowed the hydrogel with outstanding anti‐swelling capacity. Additionally, the wearable smart sensor successfully demonstrated its ability to track physiological data and transmit information in underwater. This work presents a progressive strategy for addressing the intrinsic low conductivity of 2D cMOF nanosheets in the sensing field.
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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 | 0.001 | 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".