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Record W2099312805 · doi:10.1081/bio-120016354

IN VITRO ENZYME KINETICS OF MICROENCAPSULATED TYROSINASE

2002· article· en· W2099312805 on OpenAlexaff
Binglan Yu, Thomas Ming Swi Chang

Bibliographic record

VenueArtificial Cells Blood Substitutes and Biotechnology · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
Topicmelanin and skin pigmentation
Canadian institutionsMcGill University
Fundersnot available
KeywordsTyrosinaseChemistryEnzymeKineticsIn vitroEnzyme assayBiochemistry

Abstract

fetched live from OpenAlex

In this study, we prepared microencapsulated tyrosinase and studied its enzyme kinetics and its stability at different pH and temperature. The Km for both free and microencapsulated tyrosinase is 465 microM. The Vmax for the microencapsulated tyrosinase is 49.02 mg/dl x min, whereas that of tyrosinase in free solution is 114.95 mg/dl x min. At the extreme pH of pH 2 and pH 10, free tyrosinase lost all its enzyme activity, whereas microencapsulated tyrosinase retained 14% of its original activity at pH 2 and 17% of its original activity at pH 10. Further in vitro studies were carried out to study the pH optimum of the microencapsulated enzyme at different pH values corresponding to those along the gastrointestinal tract. In temperature stability studies at 4 degrees C and 37 degrees C, higher enzyme activity remained in microencapsulated tyrosinase solution than that of free enzyme solution. Therefore, our results show that microencapsulated tyrosinase is significantly more stable than free tyrosinase. In subsequent studies, we show that daily oral administration of microencapsulated tyrosinase significantly lowers systemic tyrosinase after 3 days and maintains this low level as long as oral administration continues. When combined with one intravenous injection of polyhemoglobin-tyrosinase, the systemic tyrosine level can be lowered within one hour.

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 score0.002
Threshold uncertainty score0.469

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 head0.011
GPT teacher head0.211
Teacher spread0.200 · 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

Citations8
Published2002
Admission routes1
Has abstractyes

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