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Record W2781521888 · doi:10.20964/2018.02.68

Voltammetric Determination of Bergenin with Graphene Modified Glassy Carbon Electrode

2018· article· en· W2781521888 on OpenAlexaff
Xiaobao Li, Ruyi Zou, Yanyan Niu, Tai-Ming Shao, Yong Chen, Wei Sun, Mengxiong He

Bibliographic record

VenueInternational Journal of Electrochemical Science · 2018
Typearticle
Languageen
FieldChemistry
TopicElectrochemical Analysis and Applications
Canadian institutionsMinistry of Education and Child Care
Fundersnot available
KeywordsBergeninGrapheneGlassy carbonCarbon fibersElectrodeMaterials scienceElectrochemistryNanotechnologyChemistryChromatographyCyclic voltammetryComposite materialPhysical chemistryComposite number

Abstract

fetched live from OpenAlex

This study utilized a sensitive electroanalytical method for the detection of bergenin in phosphate buffer solution (pH 5.0) with a graphene (GR) and chitosan (CS) nanocomposite modified glassy carbon electrode (GCE). Characterization of CS-GR/GCE was carried out by electrochemical impedance spectroscopy. Electrocatalytic oxidation of bergenin on CS-GR/GCE was greatly enhanced with the improvement of the anodic peak current, which allowed the development of a voltammetric sensor for bergenin determination. Under the optimized conditions with differential pulse voltammetry, the anodic peak responses enhanced linearly with bergenin concentration from 2.0×10 -8 mol/L to 8.0×10 -6 mol/L with the detection limit of 3.6 nmol/L (3σ). This electrochemical sensor showed high sensitivity and selectivity, excellent reproducibility and good stability. The analytical application of this sensor was successfully proved by the Tabellae Bergenini Compositae sample detection.

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 score0.023
Threshold uncertainty score0.459

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.006
GPT teacher head0.257
Teacher spread0.251 · 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

Citations7
Published2018
Admission routes1
Has abstractyes

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