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Record W4414363276 · doi:10.1093/milmed/usaf297

Encapsulation of Fibrinogen With Calcium Carbonate for Hemorrhage Control

2025· article· en· W4414363276 on OpenAlexafffund
Henry T. Peng, Tristan Bonnici, Christian J. Kastrup, Andrew Beckett

Bibliographic record

VenueMilitary Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicHemostasis and retained surgical items
Canadian institutionsCanadian Armed ForcesSt. Michael's HospitalCanada's Michael Smith Genome Sciences CentreDefence Research and Development Canada
FundersDefence Research and Development Canada
KeywordsFibrinogenEncapsulation (networking)Calcium carbonateCalciumHemostasis

Abstract

fetched live from OpenAlex

INTRODUCTION: Combat-related hemorrhage remains the leading cause of preventable death, accounting for over 60% of fatalities. Dressings containing thrombin-calcium carbonate (CaCO3) particles combined with protonated tranexamic acid have been shown to reduce blood loss and mortality in severe bleeding cases. The integration of fibrinogen further enhances hemostatic efficacy. This study explores the preparation of fibrinogen-encapsulated CaCO3 particles using three innovative methods and evaluates their hemostatic and self-propelling properties. MATERIALS AND METHODS: Fibrinogen-CaCO3 particles were synthesized via water-oil-water encapsulation, precipitation, and gas diffusion methods. For the encapsulation method, fibrinogen in 20 mM HEPES and 1 M carbonate solution was emulsified with oil, Tween 80, and Span 80, and then added to a calcium chloride (CaCl2) solution, and stirred at 400 rotations per minute (RPM) for 10 min. For the precipitation method, fibrinogen was dissolved in 10 mM HEPES and 0.33 M Na2CO3, then combined with 0.33 M CaCl2, and stirred at 200 RPM for 2 h. Alternately, Na2CO3 was replaced with NaHCO3 or (NH4)2CO3. The gas diffusion method involved dissolving fibrinogen in CaCl2 solution, which was exposed to CO2 and NH3 generated from (NH4)2CO3 for 24 h in a desiccator. To quantify fibrinogen distribution, fluorescein isothiocyanate labeling of fibrinogen was performed before particle preparation. Particles were collected, washed, lyophilized, and characterized using microscopy, rotational thromboelastometry, and video motion tracking. RESULTS: The method and preparation conditions significantly influenced the properties of fibrinogen-CaCO3 particles. Both precipitation and encapsulation methods produced spherical micrometer-sized particles, while the gas diffusion method resulted in irregular shaped particles. Variations in carbonate sources affected particle yield and size. Fibrinogen inclusion led to larger particles in the encapsulation method. Fluorescent microscopy confirmed the successful encapsulation of fibrinogen in all methods, with precipitation particles showing the strongest hemostatic effect. All fibrinogen-containing particles exhibited self-propulsion capabilities, with encapsulation particles outperforming others in terms of response time and propulsion speed. CONCLUSIONS: This study demonstrates that multiple techniques can be used to effectively produce fibrinogen-encapsulated CaCO3 particles with hemostatic and self-propelling properties. Further optimization of the formulation is planned to enhance these properties for hemorrhage control.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.484
Threshold uncertainty score0.349

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.018
GPT teacher head0.299
Teacher spread0.281 · 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

Citations2
Published2025
Admission routes2
Has abstractyes

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