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Record W2483772178 · doi:10.1385/0-89603-386-4:77

Activation of Rayon/Polyester Cloth for Protein Immobilization

2003· book-chapter· en· W2483772178 on OpenAlexaff
Hiroshi Yamaraki, C. Scott Boyd

Bibliographic record

VenueHumana Press eBooks · 2003
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein purification and stability
Canadian institutionsCarleton University
Fundersnot available
KeywordsAgarosePolyesterPolymerCelluloseImmobilized enzymeChemical engineeringMaterials scienceChromatographyDextranChemistryYield (engineering)Organic chemistryComposite materialEnzyme

Abstract

fetched live from OpenAlex

The immobilization of proteins is an essential step in constructing affinity purification or enzyme reactor systems. For these biotechnological processes, immobilized proteins can be used in either batchwise or column operations. Commonly utilized insoluble supports for protein immobilization are beads of crosslinked gels of agarose, dextran, or synthetic polymers. When used in a batchwise mode, the beads are not easy to handle (harvesting, and so on). When used in a packed column, loosely crosslinked gels may exhibit structural instability under high pressure conditions ( 1 ), thus failing to produce high flow rates desired by biotechnological processes. Highly crosslinked gels, although structurally more stable, may exhibit lower degrees of protein immobilization within the interior of the beads, thereby reducing the reactor surface area. As an immobilization support, cellulose fibers are much less expensive than crosslinked gels and they possess a large surface area allowing for high protein loading. The fibers, however, are compressible and do not yield high flow rates when compressed into random configurations.

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: Methods · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.011

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 head0.047
GPT teacher head0.270
Teacher spread0.223 · 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
GenreMethods

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

Citations2
Published2003
Admission routes1
Has abstractyes

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