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Record W2086885047 · doi:10.1021/cm048166c

Properties of Human Serum Albumin Entrapped in Sol−Gel-Derived Silica Bearing Covalently Tethered Sugars

2005· article· en· W2086885047 on OpenAlex

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

VenueChemistry of Materials · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein purification and stability
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCovalent bondTetraethyl orthosilicateThermal stabilityChemistryHuman serum albuminLigand (biochemistry)Protein adsorptionAdsorptionNanoparticleChemical engineeringPolymer chemistryBiophysicsOrganic chemistryMaterials scienceChromatographyNanotechnologyBiochemistry

Abstract

fetched live from OpenAlex

Silica derived from biocompatible silane precursors and containing covalently bound sugar moieties has recently been reported to be a much more biocompatible matrix for protein entrapment than any previously synthesized materials. To better understand the nature of these new materials, the steady-state and time-resolved fluorescence of human serum albumin (HSA) was used to examine the conformation, dynamics, accessibility, thermal stability, and degree of ligand binding after entrapment of the protein into sol−gel-processed glasses derived from either tetraethyl orthosilicate (TEOS) or diglycerylsilane (DGS), which in some cases contained covalently bound gluconamidylsilane (GLS) moieties. It was observed that the initial conformation, accessibility to external analytes, thermal stability, long-term stability, and degree of ligand binding to HSA were best in DGS-derived materials that contained covalently tethered GLS relative to unmodified DGS-derived materials, TEOS, or TEOS/GLS-derived materials. Measurement of protein rotational dynamics showed that entrapment led to an immediate loss of global motion in all materials. However, the restriction of motion was most dramatic in GLS-doped materials, suggesting preferential interactions of the protein with the sugar-coated surfaces. As aging proceeded, both protein dynamics and the degree of ligand binding decreased, with a gradual loss of segmental motion and a significant increase in local motion in the vicinity of the probe, consistent with unfolding and surface adsorption of the protein, leading to loss of function. Overall, our findings suggest that the use of a biocompatible precursor (DGS) and the addition of a covalently bound sugar both contribute to improved protein performance. However, of these two the use of a biocompatible precursor is the most important factor, and in such cases addition of sugars further improves protein performance. In contrast, the use of the sugar-based additive with a nonbiocompatible precursor such as TEOS imparted essentially no benefit, demonstrating the importance of biocompatible processing conditions.

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)0.000
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 score0.003
Threshold uncertainty score0.524

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 head0.019
GPT teacher head0.246
Teacher spread0.226 · 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