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Record W2369570677

FAAS Determination of 5 Metal Elements in Tianfoshen Oral Liquor and Its Raw Medicines

2011· article· en· W2369570677 on OpenAlexaboutno aff
Ni Cui

Bibliographic record

VenuePhysical Testing and Chemical Analysis · 2011
Typearticle
Languageen
FieldMedicine
TopicTraditional Chinese Medicine Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryZincStandard additionMetalAsparagusStandard solutionChromatographyNuclear chemistryDetection limitBotanyOrganic chemistry
DOInot available

Abstract

fetched live from OpenAlex

The samples was digested with a mixed acid of HNO3 and HClO4,and contents of the 5 metal elements,Cu,Fe,Zn,K and Na,in the sample solution was determined by FAAS.To overcome the interferences of co-existing substances,iron(Ⅲ) was determined in HCl(2+98) solution,zinc(Ⅱ) was determined in n-butyl alcohol+H2O(6+94) solution,and Cu(Ⅲ),K(Ⅰ),Na(Ⅰ) were determined in HNO3(2+98) solution.Total volumes of all these solution were 250 mL.The proposed method was used in the analysis of samples of Tianfoshen oral liquor and its raw medicines,i.e.,american ginseng,lucid asparagus,fingered citron,bolbostemma,senso,obovatus canada,seabuckthorn and Chinese actinidia root.The values of recovery for determination of Cu,Fe,Zn,K and Na found by standard addition method were in the range of 91.2%-109.0% with values of RSD′s(n=6) less than 3.5%.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score0.451

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.056
GPT teacher head0.303
Teacher spread0.247 · 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

Citations1
Published2011
Admission routes1
Has abstractyes

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