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Record W1171089826

X-ray Absorption Fine Structure Studies of Calcium Silicate Hydrate Biomaterials in Drug Delivery

2015· article· en· W1171089826 on OpenAlexfundno aff
Xiaoxuan Guo

Bibliographic record

VenueScholarship@Western (Western University) · 2015
Typearticle
Languageen
FieldEngineering
TopicBone Tissue Engineering Materials
Canadian institutionsnot available
FundersCanadian Light Source
KeywordsCalcium silicateHydrateSilicateCalcium silicate hydrateDrug deliveryCalciumAbsorption (acoustics)DrugMineralogyMaterials scienceChemistryChemical engineeringNanotechnologyMetallurgyMedicineOrganic chemistryEngineeringComposite materialPharmacology
DOInot available

Abstract

fetched live from OpenAlex

Calcium silicate hydrate (CSH), a new type of bioceramics, has gained significant attention in hard tissue restoration because of their impressive role in the stimulation of osteoblast proliferation and differentiation in vitro. The further development of mesoporous bioceramics opens up new opportunities for drug delivery in hard tissue therapies. In this thesis, interaction mechanisms of drug molecules with CSH of different morphologies and CSH/polymer composites, imaging of drug distributions in CSH carriers in nanoscale, and the biomineralization mechanisms of CSH in vitro during drug release are extensively investigated using X-ray absorption near edge structure (XANES) and scanning transmission X-ray microscopy (STXM).\nThe interactions between different drug molecules and CSH with different morphologies are investigated using XANES. It is found that the morphology and the presence of hydrates of drug carriers influence the drug loading capacities (DLCs). CSH provides active linkage sites (Ca-OH and Si-OH groups) for the acidic functional groups of drug molecules via electrostatic interactions. Besides, it is also found that the stoichiometric ratio of Ca2+ ions of CSH carriers to the functional groups of drug molecules will significantly influence the DLCs.The mapping of an individual CSH microsphere, which was synthesized by a sonochemical method, before and after the loading of ibuprofen (IBU) is recorded by STXM. This STXM-XANES study illustrates the integrity and the homogenously distribution of drug molecules in these drug carriers.\nThe biomineralization of the drug carrier, CSH microspheres upon IBU release, are monitored with XANES and STXM. The biomineralization mechanisms for CSH microspheres loaded with IBU in the SBF solution, which were still controversial before, emerge via STXM mapping, spectral comparisons and fitting analysis.\nFinally, CSH/polymer composites were synthesized using a controlled precipitation reaction between calcium salt and silicate salt, followed by the addition of various polymer solutions iv at room temperature. The interactions between different polymers and CSH, the interactions between drug molecule IBU and these polymer composites have been extensively studied by XANES. We find that the polymers alter the structure of CSH to various degrees, and that this behaviour further influences the DLCs and drug release kinetics.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.100
GPT teacher head0.301
Teacher spread0.200 · 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 source (direct Gemma or distilled Codex), 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
Published2015
Admission routes1
Has abstractyes

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