Electrospun nanodiamond-silk fibroin membranes: a multifunctional\n platform for biosensing and wound healing applications
Bibliographic record
Abstract
Next generation wound care technology\ncapable of diagnosing wound\nparameters, promoting healthy cell growth, and reducing pathogenic\ninfections noninvasively would provide patients with an improved standard\nof care and accelerated wound repair. Temperature is one of the indicating\nbiomarkers specific to chronic wounds. This work reports a hybrid,\nmultifunctional optical material platformnanodiamond (ND)–silk\nmembranes as biopolymer dressings capable of temperature sensing and\npromoting wound healing. The hybrid structure was fabricated through\nelectrospinning, and 3D submicron fibrous membranes with high porosity\nwere formed. Silk fibers are capable of compensating for the lack\nof an extracellular matrix at the wound site, supporting the wound-healing\nprocess. Negatively charged nitrogen vacancy (NV<sup>–</sup>) color centers in NDs exhibit optically detected magnetic resonance\n(ODMR) and act as nanoscale thermometers. This can be exploited to\nsense temperature variations associated with the presence of infection\nor inflammation in a wound, without physically removing the dressing.\nOur results show that the presence of NDs in the hybrid ND–silk\nmembranes improves the thermal stability of silk fibers. NV<sup>–</sup> color centers in NDs embedded in silk fibers exhibit well-retained\nfluorescence and ODMR. Using the NV<sup>–</sup> centers as\nfluorescent nanoscale thermometers, we achieved temperature sensing\nin 25–50 °C, including the biologically relevant temperature\nwindow, for cell-grown ND–silk membranes. An enhancement (∼1.5×\non average) in the temperature sensitivity of the NV<sup>–</sup> centers was observed for the hybrid materials. The hybrid membranes\nwere further tested <i>in vivo</i> in a murine wound-healing\nmodel and demonstrated biocompatibility and equivalent wound closure\nrates as the control wounds. Additionally, the hybrid ND–silk\nmembranes exhibited selective antifouling and biocidal propensity\ntoward Gram-negative Pseudomonas aeruginosa and Escherichia coli, while no effect\nwas observed on Gram-positive Staphylococcus aureus.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".