Electrospun Multifunctional Radiation Shielding Nanofibrous Membrane for Daily Human Protection
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 With the widespread utilization of many radiation instruments, people are inadvertently suffering from radiation damage. But nowadays, there is still a lack of a lightweight, comfortable, and efficient wearable radiation‐proof multifunctional composite fibrous membranes in people's lives. To solve this problem, a green and efficient radiation‐resistant nanofibrous membrane consisting of cellulose fluorescent particles (CFP), ZnO‐Bi 2 O 3 nanoparticles, and polyacrylonitrile (PAN) solution is prepared by an electrospinning technology. The microscopic characterization shows that the nanoparticles are uniformly dispersed on the surface of the nanofibrous membrane, forming a dense fibrous structure. The PAN/CFP/ZnO‐Bi 2 O 3 nanofibrous membrane exhibits not only an excellent ultraviolet(UV) interception with an ultraviolet protection factor value of 337.99 ± 83.67, but also a strong shielding effect on low‐energy X‐rays. Simultaneously, it can not only photocatalytically degrade 88.17% of methylene blue solution within 150 min, but also remove 94.16 ± 0.96% of Escherichia coli and 99.07 ± 0.59% of Staphylococcus aureus within 3 h under dark incubation and kill all bacteria within 3 h under light. The adhesion, growth, and proliferation of bone marrow mesenchymal stem cells on the PAN/CFP/ZnO‐Bi 2 O 3 nanofibrous membranes confirm its low cytotoxicity and good biosafety. Thus, it could be expected to be used in daily life products such as UV and X‐rays radiation protective clothing.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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