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Record W3115146558 · doi:10.1021/acssuschemeng.0c07514

Triggered Release from Cellulose Microparticles Inspired by Wood Degradation by Fungi

2020· article· en· W3115146558 on OpenAlexaff
Qingli Qu, Jian Zhang, Xiaoqiong Chen, Hossein Ravanbakhsh, Guosheng Tang, Ranhua Xiong, Bella B. Manshian, Stefaan J. Soenen, Félix Sauvage, Kevin Braeckmans, Stefaan C. De Smedt, Chaobo Huang

Bibliographic record

VenueACS Sustainable Chemistry & Engineering · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEnzyme-mediated dye degradation
Canadian institutionsMcGill University
FundersPriority Academic Program Development of Jiangsu Higher Education InstitutionsNational Natural Science Foundation of China
KeywordsCelluloseMicroparticleChemistryDegradation (telecommunications)PhotosensitizerDrug deliveryNanomaterialsControlled releaseNanotechnologyMaterials scienceChemical engineeringPhotochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Triggered compound release has attracted considerable attention in recent years. However, the concepts and carriers reported for triggered release are often complex while nonapproved ingredients are mostly used to make the carriers. In this study, a bioinspired reactive oxygen species (ROS)-mediated delivery system, triggered by light, is introduced. We took inspiration from the well-known ROS mediated degradation of wood (cellulose) by brown-rot fungi and designed microparticles which consist of a core of cellulose nanocrystals, loaded with a drug, surrounded by a light sensitive shell. Incorporating indocyanine green, an FDA-approved photosensitizer, in the shell of the microparticles generates ROS upon NIR laser irradiation, which degrades the cellulose nanocrystals in the microparticles. It was revealed that doxorubicin, encapsulated in the cellulose core and used as a model compound in our study, becomes specifically released upon NIR irradiation of the microparticles. Attractive as well is that the microparticles are prepared by a simple one-step gas-shearing process and fully consist of compounds generally regarded as safe (GRAS).

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)0.000
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 score0.037
Threshold uncertainty score0.546

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.006
GPT teacher head0.159
Teacher spread0.153 · 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.

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

Citations93
Published2020
Admission routes1
Has abstractyes

Explore more

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