Nanodiamond/Ti <sub>3</sub> C <sub>2</sub> MXene‐coated quartz crystal microbalance humidity sensor with high sensitivity and high quality factor
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract To address the challenge of achieving both high sensitivity and a high quality factor in quartz crystal microbalance (QCM) humidity sensors, a nanodiamond (ND)/Ti 3 C 2 MXene composite‐coated QCM humidity sensor was fabricated. The material characteristics of ND, Ti 3 C 2 MXene, and ND/Ti 3 C 2 MXene composite were analyzed by transmission electron microscopy (TEM) and Fourier transform infrared (FTIR) spectroscopy. The experimental results demonstrated that the hydrophilic ND nanoparticles coated on Ti 3 C 2 MXene nanosheet prevented the self‐stacking of Ti 3 C 2 MXene and enhanced the sensitivity of Ti 3 C 2 MXene‐based QCM humidity sensor. Moreover, the high mechanical modulus of Ti 3 C 2 MXene material helped ND/Ti 3 C 2 MXene composite‐coated QCM humidity sensor to achieve a high quality factor (> 20,000). ND/Ti 3 C 2 MXene composite‐coated QCM humidity sensor exhibited a sensitivity of 82.45 Hz/%RH, a humidity hysteresis of 1.1%RH, fast response/recovery times, acceptable repeatability, and good stability from 11.3%RH to 97.3%RH. The response mechanism of ND/Ti 3 C 2 MXene composite‐coated QCM humidity sensor was analyzed in combination with a bi‐exponential kinetic adsorption model. Finally, the potential application of ND/Ti 3 C 2 MXene composite‐coated QCM humidity sensor was demonstrated through its frequency response to wooden blocks with different moisture contents.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 it