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Utilization of 2-Nitro-6-(thiazol-2-yldiazenyl)phenol for Spectrophotometric Determination of Trace Amounts of Copper(II) in Water Samples

2014· article· en· W2552771170 on OpenAlexvenueno aff

Bibliographic record

VenueCanadian Chemical Transactions · 2014
Typearticle
Languageen
FieldChemistry
TopicElectrochemical Analysis and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsDetection limitCopperReagentChemistryTrace AmountsRelative standard deviationPhenolSpectrophotometryLinear rangeBuffer solutionAnalytical Chemistry (journal)Chromatography

Abstract

fetched live from OpenAlex

A simple ultra sensitive and fairly selective non extractive spectrophotometric method for the determination of copper using 2-nitro-6-(thiazol-2-yldiazenyl) phenol (NTDP) has been developed.. The method is based on the color reaction of copper with NTDP at pH 7.1 buffer. The optimal reaction conditions (e.g., reagent concentration, pH and effect of time and temperature) were studied and the analytical characteristics of the method (e.g., limit of detection, limit of quantification, and linear ranges) were obtained. Linearity was obeyed in the range of 0.1-5.0 µg/mL of copper(II) ion and the detection limit of the method was 3.0 ng/mL. The relative standard deviation (RSD) and relative error for six replicate measurements of 2.0 µg/mL Cu(II) were 0.76 % and 1.34 %, respectively. The interference effect of some anions and cations was also tested. The method was applied to the determination of copper(II) in water samples.

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)0.001
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.020
GPT teacher head0.245
Teacher spread0.225 · 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
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

Citations0
Published2014
Admission routes1
Has abstractyes

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