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Record W3080174735 · doi:10.1088/1748-605x/abb2d8

A rheological approach to assess the printability of thermosensitive chitosan-based biomaterial inks

2020· article· en· W3080174735 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBiomedical Materials · 2020
Typearticle
Languageen
FieldEngineering
Topic3D Printing in Biomedical Research
Canadian institutionsÉcole de Technologie SupérieureUniversité de MontréalCentre Hospitalier de l’Université de Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceRheologySelf-healing hydrogelsShear rateBiomaterialComposite materialThixotropyGelatinExtrusionShear thinningChitosanViscosityChemical engineeringNanotechnologyPolymer chemistryChemistry

Abstract

fetched live from OpenAlex

Abstract For extrusion-based bioprinting, the inks must be printable and rapidly present sufficient mechanical properties to support additional layers and provide a cohesive, manipulable structure. Thermosensitive hydrogels may be interesting candidates. However, the use of these materials is particularly challenging, since their rheological properties evolve with time and temperature. In this work, a rheological approach to characterize the printability of chitosan-based thermosensitive inks was developed. The method consists of evaluating: (1) the gelation kinetic at room temperature and at 37 °C; (2) shear-thinning behavior to estimate the shear rate applied during printing as a function of printing parameters; and (3) the viscosity after shear removal (recovery test) to simulate behaviour after biomaterial deposition. Hydrogels containing 2 and 3% w v −1 chitosan, combined with different gelling agents (sodium hydrogen carbonate (SHC), phosphate buffer, beta-glycerophosphate (BGP)) were tested, and compared with alginate/gelatin bioink as controls. To correlate the rheological studies with real printing conditions, a 3D-Discovery bioprinter was used to print hydrogels and the visual aspect of the printed structure was observed. Unconfined compressive tests were carried out to study the impact of applied shear rate during printing on the mechanical properties of printed structures. All pre-hydrogel solutions presented shear-thinning properties. The recovery of viscosity was found to depend on the hydrogel formulation, as well as the level of shear rate and the state of gelation at the time of printing. Formulations made with SHC and phosphate buffer presented too rapid gelation and phase separation, leading to poor printing results. One particularly promising formulation composed of SHC and BGP, when printed at a shear rate of 140 s −1 , before its gelation time ( t g ⩽ 15 min), resulted in good printability and 3D structures with rigidity comparable with the alginate/gelatin bioink. The methodology introduced in this paper could be used to evaluate the printability of other time- and temperature-dependent biomaterial inks in the future.

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.

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)0.003
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 score0.009
Threshold uncertainty score0.584

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.075
GPT teacher head0.287
Teacher spread0.212 · 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