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Record W4379881427 · doi:10.1139/cjc-2023-0009

Development of a cobalt (II) and 1,10-phenanthroline carboxaldehyde-based fluorescent probe for the detection of cysteine

2023· article· en· W4379881427 on OpenAlexvenueno aff
H. Zhang, Peiyu Lan, Qinnan Yang, Ciling Li, Liting Zhao, Xinhuang Kang, Yubin Li

Bibliographic record

VenueCanadian Journal of Chemistry · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSulfur Compounds in Biology
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryFluorescenceCysteineHEPESSelectivityCobaltPhenanthrolineLigand (biochemistry)Combinatorial chemistryPhotochemistryInorganic chemistryBiochemistryReceptorCatalysis

Abstract

fetched live from OpenAlex

Effective cysteine (Cys) detection is extremely important for early disease monitoring and diagnosis. In this study, a fluorescent probe (PHO) comprising 1,10-phenanthroline carboxaldehyde as the ligand and cobalt as the central ion was synthesized to detect Cys. The synthesized PHO exhibited enhanced fluorescence at 603 nm in the presence of Cys in HEPES buffer. Furthermore, the probe detected Cys concentrations as low as 0.6 μmol/L, demonstrating high sensitivity. Additionally, a strong linear relationship was established between the Cys concentration and normalized intensity of fluorescence. Importantly, the high selectivity was retained even in the presence of other interfering compounds. Consequently, this method can serve as a novel approach for detecting Cys in physiological systems.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: Methods · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 integrity0.0010.001
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 head0.014
GPT teacher head0.235
Teacher spread0.221 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

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
Published2023
Admission routes1
Has abstractyes

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