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Record W2612743652 · doi:10.5539/ijc.v9n3p10

New Spectrofluorimetric Method for Determining Cadaverine Following Derivation with Orthophthalaldehyde: Application in Fish Tissue

2017· article· en· W2612743652 on OpenAlexvenueno aff
Moumouny Traoré, Khémesse Kital, Moussa Mbaye, Olivier Maurice Aly Mbaye, Cheikh Diop, Marina Koussemon Camara, Lamine Cissé, Mame Diabou Gaye Seye, Atanase Coly, Alphonse Tine

Bibliographic record

VenueInternational Journal of Chemistry · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMeat and Animal Product Quality
Canadian institutionsnot available
Fundersnot available
KeywordsCadaverineChemistryChromatographyHomogenization (climate)Detection limitMethanolFleshPutrescineOrganic chemistry

Abstract

fetched live from OpenAlex

A new spectrofluorimetric method was developed in this study for simple determination of cadaverine (CD) (1,5-diaminopentane) in flesh of mackerel fish. This method required homogenization of the flesh, solid phase extraction (SPE) with 0.4M HCl/methanol or water/methanol (25/75 v/v), centrifugation and derivation with orthophthalaldehyde (OPA). Physico-chemical parameters that affected the sensitivity of the fluorescence signal of the cadaverine-dihydrochloride/orthophthalaldehyde complex (CD/OPA), were optimised; these included reaction time, temperature, solvent system, pH and reactants concentrations (OPA/CD). The study was conducted in acetate buffer (pH 3.5 and 7) and showed low limits of detection (LOD), 0.6 and 25.5 ng.mL– 1 respectively. The limits of quantification (LOQ) obtained were 3.5 ngmL–1 (pH 3.5) and 122 ngmL–1 (pH 7). The sensitivity of the results allowed its satisfactory application for quantification of cadaverine in fish.

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 score0.109
Threshold uncertainty score0.145

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 head0.027
GPT teacher head0.329
Teacher spread0.301 · 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

Citations5
Published2017
Admission routes1
Has abstractyes

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