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Record W2990126736 · doi:10.2217/nnm-2019-0244

Oat protein-shellac Nanoparticles As a Delivery Vehicle for Resveratrol to Improve Bioavailability <i>In Vitro</i> and <i>In Vivo</i>

2019· article· en· W2990126736 on OpenAlex
Chen Yang, Yixiang Wang, Yike Xie, Guangyu Liu, Yi Lü, Wei Wu, Lingyun Chen

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

VenueNanomedicine · 2019
Typearticle
Languageen
FieldMedicine
TopicSirtuins and Resveratrol in Medicine
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsResveratrolBioavailabilityIn vivoChemistryIn vitroShellacNanoparticlePharmacologyBiochemistryBiophysicsMaterials scienceNanotechnologyOrganic chemistryBiologyBiotechnology

Abstract

fetched live from OpenAlex

Aim: Oat protein-shellac nanoparticles (NPs) were developed as a delivery system for resveratrol to improve bioavailability. Materials & methods: The NPs were prepared from w/w emulsion followed by cold-gelation. In vitro release and cell uptake mechanism of NPs were estimated by HPLC and confocal laser scanning microscopy. In vivo bioavailability and hepatoprotective activity of encapsulated resveratrol were studied using rat models. Results & conclusion: NPs (90–300 nm) protected resveratrol in gastric fluid, while allowing controlled release into small intestine in vitro. The optimized NPs showed improvement in resveratrol cell uptake and transport when compared with free resveratrol. NP-100S increased resveratrol bioavailability up to 72.4%, and the absorbed resveratrol effectively prevented CCl4-induced hepatotoxicity by attenuating oxidative stress.

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 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 score0.051
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.007
GPT teacher head0.246
Teacher spread0.239 · 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