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Record W2480767891 · doi:10.1021/bk-2008-0986.ch012

Nanoporous Sol-Gel Supports Enzymatic Hydrolysis of Chlorophyll in Organic Media

2008· book-chapter· en· W2480767891 on OpenAlexafffund
Yunyu Yi, Sélim Kermasha, Ronald J. Neufeld

Bibliographic record

VenueACS symposium series · 2008
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPhotosynthetic Processes and Mechanisms
Canadian institutionsMcGill UniversityQueen's University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNanoporousSol-gelChemical engineeringChemistryChromatographyChlorophyllSolventHydrolysisMass transferSilica gelMaterials scienceOrganic chemistry

Abstract

fetched live from OpenAlex

Entrapment of membrane proteins is a challenging task compared to that involving soluble proteins. Chlorophyllase, a membrane protein, was entrapped in nanoporous tetramethoxysilane (TMOS)-derived sol-gel, demonstrating higher protein mass and activity yield than that in polysaccharide gel and hybrid gel. Both sol-gel formulation process and chemistry may affect apparent activity of sol-gel entrapped chlorophyllase, thus need to be taken into account to improve entrapped chlorophyllase activity. Even though the external transfer of chlorophyll to the sol-gel matrix can be minimized by increasing mixing rate up to 150 rpm, internal diffusion of chlorophyll in nanoporous sol-gel was largely restricted, confirmed by the measured diffusion coefficient of 10 -14 m 2 /s. The apparent activity was also affected by the availability of hydrophobic chlorophyll substrate within the hydrophilic gel, which was controlled by partitioning of chlorophyll between a water/organic solvent medium and the gel phase.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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)0.0030.003

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 head0.187
Teacher spread0.182 · 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 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

Citations5
Published2008
Admission routes2
Has abstractyes

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