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Record W2148510825 · doi:10.1149/2.052306jes

Electrochemical Corrosion Behavior of Orthopedic Biomaterials in Presence of Human Serum Albumin

2013· article· en· W2148510825 on OpenAlexaff
Shima Karimi, Akram Alfantazi

Bibliographic record

VenueJournal of The Electrochemical Society · 2013
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCyclic voltammetryDielectric spectroscopyCorrosionHuman serum albuminBovine serum albuminElectrochemistryNuclear chemistryAdsorptionMaterials scienceOxideChemistryInorganic chemistryMetallurgyChromatographyOrganic chemistryElectrode

Abstract

fetched live from OpenAlex

In this study, the effect of human serum albumin (HSA) in a concentration range of 0 to 4 g L−1 in phosphate buffered saline (PBS) on the electrochemical corrosion behavior of AISI 316L, wrought Co-28Cr-6Mo and Ti-6Al-4 V was investigated by advanced electrochemical corrosion experiments such as cyclic voltammetry and electrochemical impedance spectroscopy (EIS). The cyclic voltammetry results showed that the dissolution rate of iron from 316L and cobalt from Co-28Cr-6Mo alloy decreased in the presence of HSA. HSA also increased the oxidation of adsorbed hydrogen on Ti-6Al-4 V alloy by the external donation of hydrogen atoms. These results implied the formation of an adsorbed layer of protein on the oxide layer which was confirmed by the result of the EIS experiments. Furthermore, the increase of HSA concentration increased the surface coverage of HSA. The comparison of the BSA (bovine serum albumin) as an animal serum albumin with HSA showed that the surface coverage and the cathodic inhabitation of BSA were higher than HSA.

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 score0.007
Threshold uncertainty score0.391

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.010
GPT teacher head0.265
Teacher spread0.255 · 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

Citations33
Published2013
Admission routes1
Has abstractyes

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