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Record W2365535703

Research Progresses of Carrier Materials for Water-insoluable Drugs

2010· article· en· W2365535703 on OpenAlexaff
Tao Chen

Bibliographic record

VenueCailiao daobao · 2010
Typearticle
Languageen
FieldMaterials Science
TopicNanoparticle-Based Drug Delivery
Canadian institutionsScience North
Fundersnot available
KeywordsLiposomeMaterials scienceDrug carrierSolubilityMicelleWater solubleNanotechnologyDrug deliveryAqueous solutionChemistryOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

Clinical applications of water-insoluble drugs are limited for their poor solubilities. It′s an effective approach to enhance the solubility via coating these water-insoluble drugs by some carrier materials. In this paper,recent research progresses of several carrier materials for water-insoluble drugs are reviewed,and advantage and disadvantage corresponding to each carrier materials are summarized. For the ubiquitous problem of unsatisfactory solubili-zing effect,the development trend and prospects of these carrier materials are proposed. Surface active agent micelle will be substituted by other carrier materials for its toxicity. Cyclodextrin and polymeric micelle have vast potential for future development. Although the deficiencies in encapsulating water-insoluable drugs,liposome can be used as carrier for soluble drugs or to prepare active targeting preparation (e.g. monoclonal antibody oriented liposome) and physical-chemical targeting preparation (e.g. magnetic liposome). Therefore,liposome still has great research value and deve-lopment potential.

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)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.031
GPT teacher head0.323
Teacher spread0.292 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2010
Admission routes1
Has abstractyes

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