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Record W2619441291 · doi:10.11159/iccpe17.112

Viscosity–Temperature Relationship of Dextrin–Riboflavin Solutions for Biological Applications

2017· article· en· W2619441291 on OpenAlexvenueno aff
İlke Ulusaraç, Neslihan Koyuncu, F. Gülay Acar

Bibliographic record

VenueProceedings of the World Congress on Mechanical, Chemical, and Material Engineering · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicProteins in Food Systems
Canadian institutionsnot available
Fundersnot available
KeywordsDextrinViscosityRiboflavinThermodynamicsChemistryMaterials scienceChemical engineeringPhysicsFood scienceEngineering

Abstract

fetched live from OpenAlex

Considering the biomaterial science, property of biocompatibility of materials takes an important role for health of humankind in recent days.Biomaterial or biocompatible material is synthetic or natural material used in medical treatment or replaces any part of biological organism.Biocompatible materials must be adapted by the body like its own tissue and also must correspond to a body's physical, chemical and mechanical properties.Polymers can be used as materials that deliver drugs or renew cells.As it is seen in our earlier study of gelatin-based RF solution, Dextrin (D) and riboflavin (RF) solutions have major impact on medical field such as drug delivery or injuring pad [1].In this research, 10% D and 0.1% RF solutions were chosen due to these percentages are used in medical field generally.In consideration of that, 10% D solution with 0.1% RF content is blended at 50C at 1200 rpm for about 30 minutes after preparation of D and RF solutions separately (10D01RF).According to the UV absorbing property of RF content, the solution is preserved from sunlight during the preparation.Primarily, the spectroscopic investigation of 10D01RF solution was held in to be obtained the absorption wavelength and emission wavelength which was attained from the absorption spectroscopy.Thereby, the proper wavelength for the exposure of the solution was determined considering medical application of the sample.By performing the rheological investigations of pure 10% D solution (10D), D with RF solution preserved from sunlight (10D01RF-B), and D with RF solution exposed to the light that has the same wavelength obtained from spectroscopic investment (10D01RF-A) at the room temperature, fluid types and mathematical models of all solutions were established from hysteresis curves of each solution separately.Besides, at specific speed values of solutions, which were obtained from each of hysteresis measurements, viscosity values were attained with changing temperature from 18C to 45C.As a result of these measurements, viscosity-temperature graphs were plotted and mathematically modelled for each solution.It was investigated from the study that 10D, 10D01RF-B and 10D01RF-A solutions have dilatant fluid type and their viscosity behaviour with changing temperature were adapted by Arrhenius model.pH values of these solutions showed parallelism with the viscosity alterations.The viscosity value of 10D solution was decreasing with the additional 01RF.On the other hand, UV exposure did not change the fluid type, but caused to increase of dynamic viscosity.According to the Arrhenius model, it was found that all specimens have positive activation energies.

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)0.002
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.030
GPT teacher head0.233
Teacher spread0.204 · 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
Published2017
Admission routes1
Has abstractyes

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Same venueProceedings of the World Congress on Mechanical, Chemical, and Material EngineeringSame topicProteins in Food SystemsFrench-language works237,207