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Record W2929593256 · doi:10.1139/cjc-2018-0138

A novel fluorescent sensor based on 4-(diethylamino)-2-(hydroxy)-phenyl imine functionalized naphthalimide for highly selective and sensitive detection of CN<sup>–</sup> and Fe<sup>3+</sup>

2019· article· en· W2929593256 on OpenAlexvenueno aff
You‐Ming Zhang, Bingbing Han, Peng‐Peng Mao, Jin-Fa Chen, Hong Yao, Tai‐Bao Wei, Qi Lin

Bibliographic record

VenueCanadian Journal of Chemistry · 2019
Typearticle
Languageen
FieldChemistry
TopicMolecular Sensors and Ion Detection
Canadian institutionsnot available
FundersProgram for Changjiang Scholars and Innovative Research Team in UniversityMinistry of Education of the People's Republic of ChinaNational Natural Science Foundation of China
KeywordsChemistryFluorescenceImineDetection limitMoleculeMetal ions in aqueous solutionIon8-HydroxyquinolineAbsorption (acoustics)Quenching (fluorescence)Derivative (finance)Nuclear chemistryInorganic chemistryChromatographyOrganic chemistryMaterials science

Abstract

fetched live from OpenAlex

In this work, a novel sensor molecule HB1, based on a 4-(diethylamino)-2-(hydroxy)-phenyl imine functionalized naphthalimide derivative, was successfully designed and synthesized. Interestingly, the HB1 showed fluorescence identification ability for CN – in DMSO/H 2 O (8:2, v/v) solution. After addition of CN – into the HB1 solution, the fluorescence intensity of HB1 solution could be enhanced obviously. The anti-disturbance experiments demonstrated that other anions could not interfere in the detection of CN – . On the other hand, HB1 was capable of dual-channel (absorption and fluorescence) detection of Fe 3+ in DMSO solution. With the addition of various metal ions into the HB1 solution, only Fe 3+ induced the fluorescence emission of HB1 solution quenching and the colour change, and other metal ions could not interfere in the detection of Fe 3+ . The limits of detection (LODs) of HB1 for CN – and Fe 3+ were 6.30 × 10 −8 and 3.95 × 10 −8 mol/L, respectively. Importantly, the real sample experiment was carried out by detecting CN – in bitter almonds. Additionally, ion test strips based on HB1 were fabricated, which could act as convenient and efficient test kits for detecting CN – and Fe 3+ .

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 categoriesMeta-epidemiology (narrow)
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 score0.045
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.007
GPT teacher head0.193
Teacher spread0.186 · 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.

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
Published2019
Admission routes1
Has abstractyes

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