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Record W7161960785 · doi:10.82308/22683

Investigating the biological and mechanical performance of cranberry-modified silicone materials for use in implantable medical devices

2014· dissertation· en· W7161960785 on OpenAlexaboutno aff
Louis Briggs

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicUrinary Tract Infections Management
Canadian institutionsnot available
Fundersnot available
KeywordsSiliconeBiofilmConfocal laser scanning microscopyAntibioticsAtomic force microscopyCatheterUrotheliumUltimate tensile strength

Abstract

fetched live from OpenAlex

Catheter associated urinary tract infections (CAUTIs) are the second most common type of hospital acquired infection in North America with over a million cases reported each year. This high incidence rate, together with the dissemination of antibiotic resistant uropathogens has resulted in much interest in the development of preventative measures within the research community. The consumption of Vaccinium macrocarpon, the North American cranberry, has been linked with the prevention of bacterial infections in the urinary tract for over 100 years. The McGill Biocolloids and Surfaces Laboratory has shown that cranberry derived materials (CDMs) can inhibit bacterial adherence to surfaces, impair bacterial motility, and influence various bacterial virulence functions. It is therefore hypothesized that cranberries and CDMs could prevent the development of CAUTIs via the disruption of various stages of pathogenesis. Herein, we report on the bioperformance of cranberry impregnated biomedical grade silicone against the biofilms formed by Proteus mirabilis, a clinically relevant uropathogen. In addition, the mechanical performance of this cranberry-silicone hybrid material is studied. First, the release of bioactive cranberry materials into an aqueous environment is demonstrated in lysogeny broth using a spectrophotometric method. Second, the ultimate tensile strength, elongation at break, storage modulus, and contact angle of CDM impregnated silicone are reported. Finally, the ability of P. mirabilis to form biofilms on the cranberry-modified silicone surface is qualitatively studied over the course of 96 hours via confocal laser scanning microscopy and quantitatively studied using COMSTAT 2 image analysis and multiple analytical techniques. CDM-modified silicone demonstrated sustained release of approximately 30% of its cranberry content into a lysogeny broth environment over the course of 96 hours. A positive correlation between cranberry concentration and storage modulus was observed, whereas ultimate tensile strength and elongation at break decreased with increasing concentrations of cranberry. Moreover, no change in the surface hydrophobicity of the CDM-modified silicone was detected via contact angle goniometry. The presence of cranberry in the silicon substrate was found to result in flattening of P. mirabilis biofilms, leading to significant increases in surface coverage and surface exposed to nutrients. Biovolume as determined by COMSTAT 2 and number of attached bacteria as determined by hemocytometry presented no difference between cranberry-modified silicone and control, whereas P. mirabilis viability was found to be higher on cranberry-modified silicone.

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 score0.002

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 head0.049
GPT teacher head0.316
Teacher spread0.267 · 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
Published2014
Admission routes1
Has abstractyes

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