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Record W2057931918 · doi:10.1248/cpb.57.700

The Generation of Lucigenin Chemiluminescence from the Reaction of Guanidino Compounds with Phenylglyoxal under Alkaline Conditions and Its Application

2009· article· en· W2057931918 on OpenAlexaff
Yukio Nohara, Tomomi Usui, Junko Suzuki, Toshihiko Hanai, Toshio Kinoshita, Kazuya Nakagomi, Mitsuo Watanabe

Bibliographic record

VenueChemical and Pharmaceutical Bulletin · 2009
Typearticle
Languageen
FieldMedicine
TopicExercise and Physiological Responses
Canadian institutionsHealth Research Foundation
FundersHoshi University
KeywordsPhenylglyoxalLucigeninChemistryChemiluminescenceNinhydrinGuanidineChromatographyNuclear chemistrySuperoxideOrganic chemistryArginineBiochemistryEnzyme

Abstract

fetched live from OpenAlex

It is shown that o-carboxyphenylglyoxal, which is converted from ninhydrin by alkali, produces a chemiluminescent lucigenin reaction under alkaline conditions when with reacted with guanidino compounds. It is also demonstrated that phenylglyoxal, which is a model compound of o-carboxyphenylglyoxal, produces a strong chemiluminescent lucigenin reaction under alkaline conditions when reacted with guanidino compounds. Moreover, ESR spectra showed the presence of 5,5-dimethyl-1-pyrroline N-oxide (DMPO)-spin adducts of superoxide anions in a mixture of phenylglyoxal and guanidino compounds under alkaline conditions. It was confirmed that the superoxide anions were generated by the reaction of phenylglyoxal with guanidino compounds under alkaline conditions, thereby causing lucigenin chemiluminescence. The chemiluminescent reaction of lucigenin in a mixture of phenylglyoxal and the guanidino compounds was applied to HPLC for guanidino compounds. The present chemiluminescence-HPLC system has a 2-fold greater sensitivity than chemiluminescence-HPLC using ninhydrin. Arginine, guanidine and methylguanidine were detected in serum from a hemodialysis patient with chronic renal failure.

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 score0.014
Threshold uncertainty score0.186

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 head0.046
GPT teacher head0.327
Teacher spread0.281 · 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

Citations2
Published2009
Admission routes1
Has abstractyes

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