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Record W2388601993

Determination of Quercetin by Dual-wavelength Overlapping Spectrophotometry

2011· article· en· W2388601993 on OpenAlexaff
Sun Jia-juan

Bibliographic record

VenueJournal of Analytical Science · 2011
Typearticle
Languageen
FieldMedicine
TopicTraditional Chinese Medicine Analysis
Canadian institutionsScience North
Fundersnot available
KeywordsMolar absorptivityChemistryAbsorbanceSpectrophotometryQuercetinDetection limitAnalytical Chemistry (journal)Relative standard deviationAbsorption (acoustics)ChromatographyWavelengthBuffer solutionOptics
DOInot available

Abstract

fetched live from OpenAlex

An UV-spectrophotometric method for the determination of quercetin was reported.In a B-R buffer medium of pH=7.45,two absorption peaks at the wavelength of 256 nm and 368 nm were observed,and the sum of absorbance at these two peaks showed good linearity with quercetin concentration in the range of 0.84~42.0 μg\5mL-1.The apparent molar absorptivity was 4.24×104 L\5mol-1\5cm-1 which was 86.8% higher than that obtained under the conventional single wavelength measurement mode.Detection limit of the proposed method was found to be 0.30 μg\5mL-1.The method was applied to the determination of quercetin in Jiangzhining capsules.The relative standard deviation of results was no more than 3.23%,and the values of recovery test obtained by the standard addition method were in the range of 95.2%~102.7%.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.818
Threshold uncertainty score0.515

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
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 head0.031
GPT teacher head0.302
Teacher spread0.271 · 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 designObservational
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
Published2011
Admission routes1
Has abstractyes

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