Effects of biopolymer functionalization and nanohydroxyapatite heat treatment on the tensile and thermomechanical properties of Bone-Inspired 3D printable nanocomposite biomaterials
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
Bone-inspired biopolymer nanocomposite grafts are an alternative to conventional bone substitutes if designed to offer a structure with adequate mechanical properties and biocompatibility. In this study, a set of novel 3D printable bone-inspired nanocomposite biomaterials was developed to investigate the effects of additional cross-linking of the biopolymer matrix and heat treatment of nHA particles on the tensile and thermo-mechanical properties of these nanocomposites used in extrusion-based 3D printing. We observed that additional functionalization of acrylated epoxidized soybean oil (AESO), as the main component of the biopolymer matrix, with additional methacrylate groups (mAESO), increased the strength and elastic modulus of extruded nanocomposites by more than three times, as well as doubled the glass transition temperature due to an increased degree of crosslinking in the functionalized matrices. The mAESO-based nanocomposite filaments demonstrated a strength safety factor of 1.5 against the minimum required standard mechanical properties for bone cement according to ISO standard5833. While heat treatment of nHA reduced the frequency of larger agglomerations, no significant difference in mechanical properties was observed. These novel 3D printable nanocomposite biomaterials with their improved strength, modulus and thermo-mechanical properties could be suitable candidates for fabricating complex ‘by design’ 3D printed grafts and scaffolds for bone reconstruction.
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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 | 0.000 | 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 | 0.000 |
| 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