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Record W4386315062 · doi:10.1080/07373937.2023.2251572

Design, development, and evaluation of spray dried flurbiprofen loaded sustained release polymeric nanoparticles using QBD approach to manage inflammation

2023· article· en· W4386315062 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.

Bibliographic record

VenueDrying Technology · 2023
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicAdvancements in Transdermal Drug Delivery
Canadian institutionsMcGill University
Fundersnot available
KeywordsFourier transform infrared spectroscopyNanoparticleFlurbiprofenPolyvinyl alcoholSpray dryingMaterials scienceCentral composite designChemical engineeringPolymerActive ingredientControlled releaseChemistryResponse surface methodologyNuclear chemistryNanotechnologyChromatographyPharmacologyComposite material

Abstract

fetched live from OpenAlex

Spray-dried Flurbiprofen (FLB) loaded polymeric nanoformulation using Eudragit L 100 and Ethylcellulose. They were optimized and evaluated. This study determined drug release (%) and encapsulation efficiency (%) by developing a nanoparticulate system using the design of experiment (DoE) approach. FLB is slightly soluble in water; it dissolves slowly and has a low oral bioavailability. FLB-loaded polymeric nanoparticles were produced by solvent evaporation and Spray drying technology. In this research, nanoparticle formulation was prepared by screening and optimization by approaching two different statistical methods (Plackett-Burman and Central composite Designs). The polymeric nanoparticles were evaluated for various characteristics, including drug release, percentage of encapsulation efficiency, X-ray diffraction (X-RD), surface morphology, and Fourier transform infrared (FTIR) spectroscopy. Based on the X-RD analysis, it was found that the drug was successfully incorporated into the polymeric nanoparticles. As a result of nanoparticles containing FLB, % Drug release values were found to be nearly 85-90% increased while % EE was observed in the range of 79-89%. An excellent sustained release, i.e., 14 h, is possible by combining Ethylcellulose (EC) and Eudragit L 100 (ED-100) polymers. The results are beneficial in identifying the ideal formulation parameters for effective encapsulation.Abbreviations: FLB: Flurbiprofen; API: Active pharmaceutical ingredient; DR: Drug release; EE: Encapsulation efficiency; DoE: Design of experiment; X-RD: X-ray diffraction; FTIR: Fourier transform infrared spectroscopy.; PVA: Polyvinyl alcohol; EC: Ethylcellulose; EUGD: Eudragit L 100; NPs: Nanoparticles; PBD: Placket- Burman Design; CCD: Central Composite Design; CMV: Critical method variables; GIT: Gastrointestinal track; SLN: Solid lipid nanoparticles; NLC: Nanostructured lipid carriers; NSAID: Nonsteroidal anti-inflammatory drug; BCS: Biopharmaceutical classification system; PS: Particle size; PDI: Polydispersity Index; ZP: Zeta potential; FE-SEM: Field emission scanning electron microscopy; 2D: 2 Dimensional; 3D: 3 Dimensional

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score0.889

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.201
GPT teacher head0.430
Teacher spread0.229 · 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