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Record W2332633070 · doi:10.1021/ie501118u

Encapsulation of Acetyl Ginsenoside Rb<sub>1</sub> within Monodisperse Poly(<scp>dl</scp>-lactide-<i>co</i>-glycolide) Microspheres Using a Microfluidic Device

2014· article· en· W2332633070 on OpenAlexaff
Raziye Samimi, Mehrnaz Salarian, William Z. Xu, Edmund Lui, Paul A. Charpentier

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGinseng Biological Effects and Applications
Canadian institutionsWestern University
FundersU.S. Food and Drug Administration
KeywordsPLGAMicrosphereMicrofluidicsDispersityEmulsionLactideMaterials scienceChemical engineeringFourier transform infrared spectroscopyNanotechnologyChemistryPolymerPolymer chemistryNanoparticleCopolymerOrganic chemistryComposite material

Abstract

fetched live from OpenAlex

6″- O -Acetylginsenoside Rb 1 (ac-Rb 1 ) isolated from North American ginseng was encapsulated within biodegradable poly( dl -lactide- co -glycolide) (PLGA) microspheres. Both a conventional double emulsion and a microfluidic technique were examined for microsphere formation. The ac-Rb 1 encapsulation within PLGA microspheres was characterized by various physicochemical techniques including FTIR, DSC, and XRD. The experimental data showed that the PLGA microspheres produced from the microfluidic technique were uniform with tunable mean diameters from 7 to 59 μm and standard deviations less than 10%. The size was independent of the capillary number and could be tuned by altering the continuous and disperse phase flow rate ratios. Release profiles from the uniform microspheres were investigated, showing controlled release of ac-Rb 1 which followed a Fickian diffusion while retaining potency toward immunosuppressive activity using macrophages in vitro. This study shows that ac-Rb 1 encapsulated PLGA microspheres obtained using the microfluidic approach are promising for the development of next-generation biomedical agents.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.012
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 integrity0.0010.001
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 head0.053
GPT teacher head0.318
Teacher spread0.264 · 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.

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

Citations15
Published2014
Admission routes1
Has abstractyes

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