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Record W4416209133 · doi:10.1302/1358-992x.2025.13.087

DEVELOPMENT OF A NOVEL AND BIODEGRADABLE BOROPHENE-MONETITE SCAFFOLD TO TARGET BONE HEALING

2025· article· en· W4416209133 on OpenAlexaff
Joane Matta, Géraldine Merle, Edward J. Harvey

Bibliographic record

VenueOrthopaedic Proceedings · 2025
Typearticle
Languageen
FieldMaterials Science
TopicBoron and Carbon Nanomaterials Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsBioceramicOsteoblastBone healingScaffoldOsteoclastImplantScanning electron microscopeOsseointegration

Abstract

fetched live from OpenAlex

Despite limited tissue availability, longer surgical time, increased blood loss, and donor site morbidity, autografts remain the current gold standard to enhance bone growth and healing. Alternative synthetic and osteoconductive calcium-phosphate bioceramic implants, like monetite, have been used to enhance bone healing. Reinforcing bioceramic implants with 2D nanosheets has further improved biological performance and mechanical strength. Ultra-thin and large lateral dimensions of 2D nanostructures create larger surface areas with higher electron mobility and catalytic capabilities, aiding in the adhesion, growth, proliferation, and differentiation of osteoblasts. Borophene is a novel, thin, biocompatible, biodegradable, and graphene-like 2D nanosheet of boron atoms, with desirable properties including thermal and electrical conductivity, strong mechanical resistance, and flexibility. Boron is an essential micronutrient in humans, shown to modulate the Wnt/β-catenin signaling pathway and critically involved in bone healing and skeletal metabolism. Modulating this pathway remains a promising target to accelerate bone healing. We hypothesize that a biodegradable borophene-monetite implant increases osteoblast proliferation and differentiation to accelerate bone repair. Monetite was prepared from monocalcium phosphate monohydrate and β-tricalcium phosphate, while borophene was synthesized by mechanical exfoliation from Boron micropowder. Different ratios of borophene were mixed with monetite for implant fabrication. Physicochemical characterization was performed using ultra-bright Transmission Electron Microscopy (TEM), Scanning Electron Microscopy (SEM), X-Ray Diffraction (XRD), and compressive mechanical strength testing. The in-vitro responses and osteodifferentiation patterns were assessed through cytoxicity, proliferation, ALP differentiation, and key mRNA expression markers at select timepoints over 21 days using a pre-osteoblastic MC3T3-E1 cell line. Gene expression analysis was performed select osteoblastic markers (osteonectin (Sparc), Runx2, osteocalcin (Bglap)). TEM and SEM imaging confirmed the successful synthesis of thin borophene nanosheets with a mean lateral size of 230nm. Physicochemical characterization confirmed homogenous distribution of borophene over monetite scaffolds with a significantly enhanced mechanical integrity without altering monetite crystallinity. MC3T3-E1 cells cultures demonstrated cell viability well over 70%, along with signicantly elevated proliferative activity, ALP differentiation, and gene expression of osteoblastic markers with patterns expected in osteodifferentation. Through facile and scalable exfoliation of borophene and successful mixing into monetite, our results demonstrate that a biodegradable implant combining these synthetic alternatives may promote osteogenesis through the Wnt/β-catenin pathway. With indispensable ions and beneficial structural properties, borophene remains a favorable candidate in reinforcing bioceramic implants as an accessible, less invasive, and cost-effective treatment modality compared to harvesting autografts.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.684

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.270
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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