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Record W2441283041 · doi:10.5006/c2016-07182

Bovine Serum Albumin Adsorption on AISI 316L in Phosphate-Buffered Saline Solutions

2016· article· en· W2441283041 on OpenAlexaff
Shima Karimi, Akram Alfantazi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein purification and stability
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAdsorptionBovine serum albuminPhosphateSalinePhosphate buffered salineChemistryAlbuminChromatographyMaterials scienceBiochemistryMedicineInternal medicineOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Ion release and bovine serum albumin (BSA) adsorption on AISI 316L (UNS S31603) electrodes was investigated by performing cyclic voltammetry experiments and electrochemical quartz crystal microbalance (EQCM) analyses simultaneously. The quartz crystals were immersed in phosphate-buffered saline (PBS) solutions containing 2 g L-1 BSA and the potential was swept from 0.1 to -1.2 V vs. Ag/AgCl with scan rates of 50, 75, and 100 mV s-1. The results of cyclic voltammetry tests revealed one anodic and one cathodic peak. These peaks could show iron dissolution and BSA adsorption on 316L resonators. These findings were confirmed by EQCM results in which the 316L gained and lost weight loss during cathodic and anodic scans. In addition, the EQCM results indicated Faradaic dissolution of iron and adsorption of protein-water complexes on 316L. The amount of iron release and protein/water complexes adsorption were 1.49 μg cm-2 in 8.4 s and 590.6 μg cm-2 in 21.4 s, respectively.

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 score0.118
Threshold uncertainty score0.352

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 head0.018
GPT teacher head0.251
Teacher spread0.233 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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